What’s the BUZZ? — AI in Business: Recent Episodes
Andreas Welsch
“What’s the 𝘽𝙐𝙕𝙕?” is a bi-weekly live format where leaders and hands-on practitioners in the field of Artificial Intelligence and automation share their insights and experiences on how they have successfully turned hype into outcome. Each episode features a different guest who shares their journey in implementing AI and automation in business. From overcoming challenges to seeing real results, our guests provide valuable insights and practical advice for those looking to leverage the power of AI and process automation. Whether you're just starting out or looking to take your efforts to the next level, “What’s the 𝘽𝙐𝙕𝙕?” is the perfect resource for staying up-to-date on the latest trends and best practices in the world of AI and automation.
AI agents are everywhere in the headlines, but successful agentic AI is about much more than deploying the latest technology. The organizations that succeed will be the ones that build the right foundation across data, culture, and strategy.
In this episode of “What’s the BUZZ?”, Andreas Welsch welcomes Sebastian Wernicke, author of Data Inspired, to explore what it takes to turn AI ambition into business outcomes.
You will learn why data alone is not enough, why organizations need to become data-inspired rather than simply data-driven, and how leaders can create the culture and strategy required for AI agents to deliver real impact:
- The three critical success factors for agentic AI: data, culture, and strategy
- How data-inspired organizations use information to drive innovation and competitive advantage
- Why culture and technology conversations must happen together
- How AI agents will reshape organizational decision-making
- What leaders should do today to prepare their organizations for an AI-powered future
Whether you are exploring AI agents, building an AI strategy, or leading organizational change, this conversation provides practical guidance for moving beyond AI hype and creating meaningful outcomes.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
When your AI agents start transacting on your behalf, who’s protecting your interests — and how do they prove it?
In this episode, host Andreas Welsch sits down with Nitin Badjatia, enterprise software veteran and board member of Customer Commons, to explore one of the most consequential and least-discussed gaps in agentic AI adoption: the absence of enforceable, machine-readable contracts between autonomous agents and the commercial web. Together, they unpack why the digital commerce infrastructure we’ve built on surveillance and click-through consent is fundamentally incompatible with a world where agents act, negotiate, and commit on our behalf — and what the emerging IEEE 7012 “My Terms” standard proposes to do about it.
Discover the strategic and governance foundations that responsible agentic commerce requires:
- Recognize that consent is not a contract — and build your agentic governance accordingly. The terms of service paradigm grants vendors expansive rights users never meaningfully agreed to. As agents multiply, that exposure compounds. IEEE 7012 proposes human-readable, machine-executable contract templates as the foundation for agent-to-agent and agent-to-vendor interaction.
- Model your digital interactions on physical-world norms. You wouldn’t share your financial strategy with an uncredentialed stranger, and you wouldn’t accept lifetime tracking as the price of entry at a grocery store. Yet that’s the standard your agents are operating within today. Bridging that gap is both an ethical imperative and a governance requirement.
- Understand the five contract tiers the My Terms standard introduces — from simple transactional exchanges (no data retained beyond the transaction) to more complex arrangements — and identify which tier is appropriate for each agent interaction in your commercial stack.
- Build toward a neutral, nonprofit contract infrastructure, analogous to how Creative Commons standardized licensing for creative works. The goal is a library of pre-negotiated, legally coherent templates that agents can carry into transactions — giving both parties a verifiable, auditable “legal receipt” for what was agreed.
- Treat data quality as a governance outcome. A surveilled customer shares guarded context; a customer operating under a mutual contractual arrangement shares richer, more accurate data willingly. Organizations that adopt contract-first agentic models early will generate a higher-fidelity customer signal — not just reduced legal exposure.
Whether you’re a Chief Digital Officer designing your agentic commerce strategy, a privacy or legal leader trying to get ahead of regulatory exposure, or an AI architect determining what rights your deployed agents should carry, this episode reframes the agentic opportunity through the lens that matters most: who is actually accountable when the agent acts?
Tune in now to understand why the infrastructure of trust — not the sophistication of the model — will determine which organizations can scale agentic commerce with confidence.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
How fast is AI really moving, and what does that mean for your business strategy?
In this episode, host Andreas Welsch reconnects with Doug Shannon, an intelligent automation and generative AI leader, to explore the accelerating pace of AI innovation and what it means for organizations navigating this transformation. Together, they discuss why the speed of change has become almost impossible to predict, how companies should approach the build-versus-buy decision, and why your competitive advantage lies not in technology, but in what your organization does best.
Key insights from this conversation include:
- Understanding scaled intelligence: AI isn't just getting faster because of better tools—it's because we're deploying intelligence at scale, which compounds the pace of innovation exponentially. This means your eight-week roadmap may already be outdated.
- The build-versus-buy paradox: While buying off-the-shelf solutions offers speed and vendor expertise, staying agnostic to specific models and platforms protects you from lock-in. Leverage what you need, when you need it, without becoming beholden to any single provider.
- Governance meets velocity: The solution isn't to choose between speed and safety—it's to create internal sandboxes and centers of intelligence where teams can experiment safely. Enable your people to build, but within guardrails that keep your organization secure and your data protected.
- The human element remains critical: Don't fire people to cut costs; instead, empower them with AI tools to become 10X more productive. Context and institutional knowledge walk out the door when you lose experienced team members, and that's a cost you can't easily recover.
- Orchestration is the future: Single agents are yesterday's news. Multi-agent systems and orchestration—where AI coordinates across different specialized agents—represent the next evolution. This is where enterprises will find their competitive edge.
- Small and medium-sized companies have an unexpected advantage: Without legacy systems, legacy data, and legacy processes, they can move faster than large enterprises. The real question isn't whether to adopt AI, but how quickly you can.
Whether you're a business leader grappling with AI strategy, an IT professional managing governance, or a team member wondering how AI will change your role, this episode offers practical perspectives on navigating the fastest-moving technology shift in modern business.
Tune in now to discover how to harness the momentum of AI innovation without losing sight of what makes your organization truly unique.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if the real competitive advantage in AI isn't about having the biggest models, but about building systems that can be trusted, audited, and governed at scale?
In this episode, host Andreas Welsch explores the convergence of AI, cybersecurity, and quantum computing with Joseph Ng, Chief Strategy Officer at GeneGenius and author of "The Hybrid Mind: The Human-AI Convergence." Together, they challenge the prevailing narrative around the AI race and reveal why most organizations are solving the wrong problem.
Joseph shares critical insights on why companies must shift from treating AI as a tool deployment challenge to redesigning their entire decision-making architecture:
Capability is scaling faster than control. Organizations are deploying AI systems without understanding how they behave, how they're exposed, or how they can be influenced—creating exponential risk that compounds across interconnected agents and workflows.
The real differentiation won't come from model size or compute power. It will come from organizations that can build systems where intelligence, oversight, and human authority are embedded into the architecture from day one—what Joseph calls Cognitive AI and Native Architecture (CANA).
Quantum computing isn't a distant threat. The "harvest now, decrypt later" approach means sensitive data collected today could be compromised once quantum becomes viable, making cryptographic hardening and governance redesign urgent priorities for leaders.
For mid-sized organizations without large AI centers of excellence, Joseph recommends a phased, modular approach: audit your current systems, identify breaking points, and integrate AI incrementally while building governance into execution—not policy documents.
Whether you're a business leader navigating the AI landscape or a technology executive preparing for what's next, this conversation cuts through the noise to reveal what actually matters: building institutions that can operate intelligence responsibly, visibly, and at scale.
Tune in now to discover how to move beyond AI hype and build the governance-first systems that will define competitive advantage in the years ahead.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What happens when AI moves faster than your ability to govern it safely?
In this episode, host Andreas Welsch sits down with Reid Blackman, founder and CEO of Virtue and author of "The Ethical Nightmare Challenge," to explore the critical ethical risks that emerge as AI evolves from narrow systems to generative and agentic solutions. Reid brings a philosopher's perspective to the business challenges of AI deployment, discussing how organizations can avoid the reputational, regulatory, and legal pitfalls that come with increasingly autonomous systems.
Discover why traditional approaches to responsible AI governance are breaking down and what you need to do instead:
- Understand the escalating complexity of AI risk as systems become more autonomous and interconnected. Cascading failures, emergent risks, and the loss of meaningful human oversight create a perfect storm of potential disasters that move at unprecedented speed and scale.
- Recognize that the standard top-down, policy-driven approach to AI ethics is fundamentally broken. Enterprise-wide policies take years to implement while technology leaps ahead, leaving organizations perpetually chasing yesterday's problems with tomorrow's tools.
- Shift from abstract values to concrete nightmare scenarios. By identifying organizationally relevant ethical nightmares—discriminatory outcomes at scale, hallucinated reports, unforeseen system failures—you create actionable strategies that everyone across your organization can understand and collaborate on.
- Prioritize rapid, scalable governance solutions that move at the pace of AI innovation. Whether you adopt Reid's Ethical Nightmare Challenge framework or another approach, your risk management must be nimble enough to keep pace with deployment, not slow it down.
Whether you're a business leader deploying AI systems, a risk officer concerned about governance, or a technologist grappling with ethical complexity, this conversation reveals why facing AI's challenges head-on is the only path to capturing its genuine opportunity.
Don't miss this essential discussion on turning AI hype into responsible, sustainable business outcomes. Tune in now to learn how to navigate the ethical minefield of modern AI deployment.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What happens when you deploy multi-agent systems into your HR operations—and how do you ensure they elevate your workforce rather than replace it?
In this episode, host Andreas Welsch sits down with Kris Saling, Senior Data Science Leader working on AI integration for personnel management at scale, to explore the critical foundations needed for successful multi-agent deployments in human resources. Together, they discuss how to identify where agents truly add value, the importance of governance without stifling innovation, and why domain expertise matters as much as technical capability.
Discover the strategic framework that transforms agent implementation from a technology exercise into a business outcome:
- Use the eliminate, simplify, automate, elevate framework to determine which tasks genuinely benefit from intelligent automation versus simple RPA solutions. Not every workflow needs a sophisticated multi-agent system—sometimes the best solution is far simpler.
- Build governance structures that encourage citizen development while maintaining visibility into what agents are doing, who built them, and when they were last validated. Think of it as traffic laws that keep innovation flowing safely, not bureaucratic red tape.
- Shift HR's role from transactional processing to full-spectrum talent management. Create a "Waze model" for your workforce where employees can see their skills, available opportunities, and career pathways as automation evolves their current roles.
- Prioritize domain knowledge alongside technical training. As automation removes the foundational "toil" that traditionally teaches new employees how systems work, you must intentionally preserve that learning pathway.
- Recognize that AI will transform jobs, not eliminate them—if you keep elevating your human workforce into the work only humans can do. The future belongs to organizations that master this balance.
Whether you're an HR leader navigating AI integration, a business executive building multi-agent systems, or a technologist curious about enterprise-scale deployment, this episode offers practical insights and a refreshing perspective on how to turn AI hype into sustainable workforce outcomes.
Tune in now to discover how to build multi-agent systems that strengthen your organization's most valuable asset—your people.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
AI is moving quickly from experimentation to deployment, but what does it actually take to operationalize AI successfully?
In this episode of “What’s the BUZZ?”, host Andreas Welsch speaks with Kristen Kehrer about the operational realities behind deploying AI, LLMs, and agentic systems in enterprise environments.
Three key insights stand out:
- Production AI requires more than a successful demo
Many organizations underestimate the complexity of moving AI systems into production. Reliable deployment requires monitoring, governance, iteration, and collaboration across business and technical teams. - Clean data and knowledge bases remain essential
Even advanced AI systems depend on high-quality documentation and structured information. Weak knowledge bases often lead to unreliable outputs and poor user experiences. - LLMOps introduces a new operational layer
Managing prompts, retrieval pipelines, evaluations, and interaction quality has become critical as organizations scale customer-facing AI systems and AI agents.
A practical reminder: successful AI adoption is not about deploying the newest model first. It is about building reliable systems, strong operational processes, and the right collaboration between people and technology.
Listen to the full episode for a grounded perspective on what it takes to operationalize AI at scale.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
AI is getting a lot of attention, but where does it actually create measurable impact?
In this episode of “What’s the BUZZ?”, host Andreas Welsch speaks with Ariana Smetana, CEO of AccelIQ Digital, about how finance teams can move from experimentation to real outcomes using AI in document processing and reporting.
Three key insights stand out:
-
Start with the bottleneck, not the technology
Many finance teams still rely on manual spreadsheets to assemble and validate data. The real opportunity lies in addressing these operational constraints and enabling faster, more proactive decision-making. -
Balance probabilistic AI with deterministic accuracy
In finance, “almost right” is not acceptable. A layered approach of combining human validation, deterministic calculations, and AI-driven summarization ensures both speed and trust. -
Keep humans in control to build trust and adoption
AI should augment, not replace, domain expertise. Embedding human oversight across the process is critical to ensuring accuracy, security, and confidence in outputs.
A practical reminder: successful AI adoption is not about doing everything or about doing something flashy. It is about solving the right problem, in the right way, with the right level of control.
Listen to the full episode for a grounded perspective on applying AI where precision truly matters.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if you could get your executive's feedback before your big presentation to them (with zero effort)? Agentic AI makes it possible.
In the latest episode of “What’s the BUZZ?”, host Andreas Welsch sits down with Elise Neel, SVP of Global Strategy and Strategic Partnerships at Panasonic, to explore what it really takes for executives to lead in an era of Agentic AI.
This conversation goes beyond the hype and gets into a far more important question: How does leadership evolve when intelligence is no longer scarce?
Catch the BUZZ:
-
Why the best leaders are the best orchestrators
-
How Agentic AI reshapes operating models in addition to productivity
-
Why executive leaders need hands-on experience beyond theoretical understanding
-
How sparring agents scale executives’ time and feedback
Leaders looking to move from AI curiosity to real organizational impact find examples and inspiration in this episode to evolve their own leadership approach.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What does it actually take to build AI governance that enables innovation instead of slowing it down?
In this episode of “What’s the BUZZ?”, host Andreas Welsch sits down with Walter Haydock, CEO of StackAware, to break down how leaders can move from reactive AI usage to structured, scalable governance without killing momentum.
Together, they discuss why most organizations get AI risk wrong, where governance efforts typically fail, and how to design a program that balances speed, security, and business value. He shares practical insights on defining risk appetite, simplifying policies, and avoiding the extremes that derail AI adoption.
Highlights you’ll get from the conversation:
- Why most companies fall into two traps—“ban AI” or “anything goes”—and how to find the middle ground.
- The three risks every AI leader must address: data confidentiality, IP ownership, and reputation.
- What ISO 42001 actually provides and how it helps operationalize AI governance at any scale.
- The only four ways to handle risk—and why AI doesn’t change these fundamentals.
- How to define risk appetite in real business terms to guide faster, better decisions.
- Why overly complex data classification policies fail—and what to do instead.
- The #1 mistake organizations make when implementing governance programs: unrealistic timelines.
If you want a clear, practical approach to managing AI risk while still moving fast, this episode delivers actionable guidance you can apply immediately.
Listen now to learn how to turn AI governance from a bottleneck into a competitive advantage.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What do you do when AI takes the junior roles, and attention becomes your most valuable resource?
Steven Puri and host Andreas Welsch map a practical path from distraction and short-term thinking to sustainable high performance.
In this episode, Steven, a former studio exec, serial founder, and the mind behind a focus app, explains why entry-level jobs are changing, where real human value is rising, and how individuals and teams can design work around attention, not just task lists. He shares concrete techniques for getting into flow, beating the "cold start" procrastination loop, and using AI as a force multiplier rather than a replacement.
Highlights you’ll get from the conversation:
- Why the bottom rungs of traditional career ladders are evaporating and what that means for talent development.
- The new premium on deep work: what humans still do better than LLMs and how to protect that time.
- Practical habits to find your best creative windows (chronotype + simple tracking exercise).
- A productivity hack that actually works: hide everything but your top 3 tasks to defeat paralysis.
- How to use AI tools to prototype, learn, and ship faster — and why that can accelerate career growth.
- Leadership blind spots: the danger of short-term cost cuts and why planning for multi-year development still matters.
If you want actionable ways to reclaim your attention, structure your day for meaningful output, and turn AI into an enabler of skill growth, this episode is full of concrete, repeatable tactics.
Listen now to learn how to turn AI hype into habits and outcomes that actually move your work and career forward.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
The uncomfortable trust for leaders is this: AI is changing how leadership works, or is it?
In the latest episode of the “What’s the BUZZ?” podcast, host Andreas Welsch sits down with Sadie St. Lawrence, founder of Human Machine Collaboration Institute and author of Becoming an AI Orchestrator, to discuss what it really takes to lead in the age of AI.
Sadie introduces a powerful idea: the future of work belongs to AI orchestrators. They are leaders who know how to guide AI systems the way a conductor leads a symphony.
Here are a few key insights from our conversation:
-
The shift from doing to orchestrating
Work is moving from execution to coordination. Instead of completing every task ourselves, professionals will increasingly guide AI systems—asking the right questions, refining outputs, and turning rough drafts into real business value. -
Managers and individual contributors must evolve
Managers often know how to delegate—but may not be using AI themselves. Individual contributors may use AI—but lack experience delegating work. The future requires both groups to develop leadership-level thinking, even without a formal leadership title. -
AI success starts with systems thinking
Many organizations want AI outcomes without the right foundations. Leaders need to understand their data, tech stack, and workflows so that AI can support real business strategy rather than becoming another disconnected tool. -
AI is an opportunity for everyone to lead
You don’t need to be a technical expert to start. The most important step is simple: get your hands on the keyboard and start experimenting. That’s how leaders begin to see what’s possible.
If you want to understand how your role and your organization must evolve in the AI era, this conversation is for you.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Stop chasing the rainbow—this episode shows how to turn AI pilots into repeatable programs that actually deliver business value.
Host Andreas Welsch talks with Ivo Strohhammer about the hard work behind scaling AI adoption: moving from experiments to production, building a community that learns together, and helping small and medium businesses avoid the same pitfalls large enterprises faced. Ivo shares hands-on approaches from his work at Siemens and his new local ecosystem: how to enable people, provide secure playgrounds, and balance fast experimentation with the governance and standards needed to scale.
Highlights from the conversation:
- Why employees are your most powerful lever: democratize access, offer secure tools, and create tiered learning paths so people can progress from curious user to local AI champion.
- How to balance speed and structure: let teams experiment but create standards to avoid reinventing the wheel; use short, adaptive planning cycles and measure impact early.
- The difference between everyday AI vs. process AI vs. new AI—and why rethinking processes often produces far larger gains than just layering models on existing workflows.
- Practical ways to help SMEs: open local labs, shared trainings, and a three-stage approach (Awareness → Ability → Application) so smaller orgs can punch above their weight without huge budgets.
Three quick takeaways:
- Put people first—train, enable, and give secure spaces to experiment.
- Find the sweet spot between experimentation and standardization—pilot widely, scale selectively.
- Stay agile—test fast, keep what works, fail fast, and move on.
If you want a practical playbook for making AI stick—whether you lead a global program or run a local SME—this episode is full of examples and actionable advice. Tune in now to hear the full conversation and start turning your AI pilots into lasting programs.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Stop building the same capabilities over and over when everyone builds agents. Standardize and reuse common features across your business.
In this episode of “What’s the BUZZ?”, Andreas Welsch sits down with Samantha McConnell to discuss how large enterprises can build reusable AI agents that create real business value. The conversation moves beyond vendor claims to examine how organizations operationalize agentic AI, manage rapid innovation cycles, and balance empowerment with governance.
Samantha shares how Cox approaches AI through centralized hubs, agent registries, and differentiated governance models for individual productivity agents versus enterprise-scale solutions. The discussion also highlights why adoption is critical, and why many AI agents will have much shorter lifecycles than traditional software products.
Catch the BUZZ:
- Preventing reinvention through AI hubs and agent registries
- Governing enterprise AI agents without slowing innovation
- Managing the lifecycle of rapidly evolving AI agents
- Measuring adoption and business impact, not just usage
- Connecting agent initiatives to clear business success metrics
- Using a land-and-expand approach to scale agentic AI responsibly
Key Takeaways:
- Balance innovation and control by tailoring governance to agent scale and risk
- Design for faster time-to-value and shorter solution lifespans
- Define outcome-based success metrics before deploying AI agents
A practical episode for leaders focused on turning agentic AI from experimentation into repeatable, enterprise-ready impact.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Imagine shrinking a one-hour code review to under ten minutes—and using that same agentic approach to boost sales, reduce fraud, and make branch and call‑center staff far more productive.
In this episode, Andreas Welsch interviews Mo Jamous, CIO at U.S. Bank, who has taken agentic AI from experiments into real production at a major financial institution. Mo walks through what worked, what surprised him, and the practical guardrails banks (and other regulated companies) need to adopt agents safely and effectively.
Episode highlights:
- A clear three‑bucket strategy: persona‑driven productivity, revenue/growth use cases, and operational excellence (fraud, security, DevOps, resilience).
- A concrete win: an agentic code‑review tool built in weeks that reduced review time from ~1 hour to <10 minutes and scaled to hundreds of thousands of reviews per year.
- How to instrument agents for measurement: attach metadata to agents, count executions, and map successful runs to dollar or productivity impact so you can report ROI.
- People, process, platform: upskill teams with hackathons and brown‑bags, put a governance council (risk, security, compliance) in place, and build an orchestration/registry layer to track many agent implementations.
- Common pitfalls: getting stuck on “one tool” decisions, underestimating change management and adoption, and failing to bake monitoring and guardrails into deployments.
- Practical starting advice: pick high‑value, low‑complexity pilots (e.g., developer or call‑center assistants), measure outcomes from day one, and scale using an observability dashboard rather than betting on a single vendor.
Who should listen: business and tech leaders who want actionable guidance for moving beyond demos and into production-ready agentic AI that creates measurable business outcomes.
Want step‑by‑step lessons from an operator who’s done it? Listen to the full episode now to learn how to turn agent AI hype into real business value.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Stop chasing flashy multi‑agent demos. The big gains in enterprise AI are coming from focused, context‑driven systems, not agents in a room.
In this year‑end conversation host Andreas Welsch and analyst Jon Reed cut through the noise to explain where AI is failing in the wild and where it's producing measurable business value. Jon lays out the vendor‑customer gap, the real risks of agentic experiments, and the practical architectures that are working today: compound systems, context engineering, RAG/knowledge graphs, evaluation and observability, and right‑time data layers.
What you’ll learn:
- Why multi‑agent orchestration rarely works at scale today and the narrow exception where it does
- How vendors are ahead of buyers, and how leaders should close the gap with clear communication and upskilling
- The difference between treating AI as a worker vs. a tool, and why that choice matters for people and projects
- Practical, enterprise‑ready wins: document intelligence, procurement RFP automation, AP/AR, hyper‑personalization, and focused assistants
- Why explainability, audit trails, and granular autonomy toggles are essential for trust and compliance
- How to approach AI readiness: clean data, metadata/annotation, and composing smaller specialized models into reliable workflows
If you build or buy AI in the enterprise, this episode is full of real examples and honest advice on where to invest, what to avoid, and how to design systems that produce results now, while preparing for broader scale.
Tune in to hear the full conversation and get actionable guidance for turning AI hype into business outcomes.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Can you trust an AI agent to act in line with your values — and who’s responsible when it doesn’t?
In this episode, Andreas Welsch talks with AI ethics consultant Rebecca Bultsma about the pitfalls of rushing AI agents into business workflows and practical steps leaders should take before handing autonomy to software. Rebecca draws on her early ChatGPT experiments and academic work in data & AI ethics to explain why generative AI raises fresh ethical risks and how organizations can reduce harm.
What you’ll learn:
- Why generative AI and agents amplify old AI ethics problems (bias, hidden assumptions, and Western-centric worldviews).
- Why you should build internal understanding first: experiment with low-stakes, traceable use cases before deploying public agents.
- The importance of audit trails, explainability, and oversight to trace decisions and assign accountability when things go wrong.
- Practical red flags: agents that transact autonomously, weak logging, and complacency about vendor claims.
- A legal reality check: new laws (like California’s chatbot rules) are emerging and could increase liability for organizations that deploy chatbots or agents prematurely.
The top takeaways:
- Learn by experimenting personally and internally in your organization to discover where agents fail.
- Start small with low-stakes, narrowly scoped tasks you can monitor and audit.
- Don’t rush; rather, observe others' failures, train your people, and build governance before going public.
If you’re a leader evaluating agents or responsible for AI governance, this episode gives clear, actionable advice for keeping your organization out of the headlines for the wrong reasons. Tune in to hear the whole conversation and learn how to turn AI hype into safer business outcomes.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What actually changes when AI agents become part of your workforce — and which human skills still matter most?
In this episode, host Andreas Welsch talks with HR and talent-intelligence veteran Todd Raphael about the practical realities of bringing agentic AI into organizations. They move beyond proofs-of-concept to ask the tough questions: How do agents fit into daily workflows, what invisible human contributions should you protect, and how should HR and IT collaborate to redesign roles, org charts, and the employee lifecycle?
Listen for concrete thinking and strategic framing, including:
- The hidden value humans bring: Why many critical contributions (trusted relationships, customer touchpoints, institutional memory) don’t appear on job descriptions — and what that means when you automate tasks.
- Rethinking structure and advancement: How flatter org models and new measures of impact (knowledge, networks, influence) may change who gets promoted and how leadership is defined.
- HR’s seat at the table: Why HR is uniquely positioned to plan holistically for hire-to-retire changes, from skills-based hiring to internal marketplaces, reskilling, and retention when agents handle more tasks.
You’ll also hear examples and practical prompts for leaders: identify the intangible work that must remain human, map tasks vs. relationships before automating, and start workforce planning that considers people and agents together.
If you’re an HR leader, people manager, or technology decision-maker trying to turn agent hype into durable business outcomes, this episode gives you a playbook to start redesigning work the right way.
Tune in now to learn how to protect human advantage and build an effective human+agent workforce.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
When AI agents can self‑spawn, act at machine speed and delete their own trails, identity and trust become business-critical.
In this episode, Andreas Welsch talks with Tim Williams—an experienced practitioner who’s helped organizations commercialize AI—about the security gaps agentic AI exposes and practical ways to close them. Tim explains why traditional username/passwords and persistent tokens won't cut it, how trust for agents should be treated like a credit score rather than a binary yes/no, and why observability and transaction-level controls are essential.
Highlights you’ll get from the conversation:
- Why agents operate at a different scale and cadence than humans, and the new risks that creates.
- Real breach lessons (e.g., persistent token compromises) that show why persistent access is dangerous.
- The concept of sliding trust: using a trust score to gate actions (low-risk vs high-risk transactions).
- Short-lived, transaction-based approvals and why persistent credentials must be replaced.
- Why cryptographically verifiable, immutable identifiers (and why blockchain can help) matter for accountability.
- Practical governance: observability, human-in-the-loop checkpoints, and preparing infrastructure in parallel with agent adoption.
Who this episode is for: business leaders deciding what to delegate to agents; security and identity teams rethinking access; product and platform builders designing safe workflows for autonomous systems.
If you want actionable guidance on how to let agents accelerate your business without exposing you to runaway risk, tune in and learn how to turn agent hype into reliable business outcomes.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
AI agents are reshaping how enterprises innovate, organize work, and experience disruption.
In the latest episode of “What’s the BUZZ?”, Andreas Welsch speaks with Christian Muehlroth, CEO of ITONICS, about how agentic AI will redefine innovation management and why many organizations remain structurally unprepared for it.
Here are the key insights from the conversation:
- AI’s foundations were created decades ago, but recent advances in computing, interfaces, and delivery models have turned it into a scalable innovation engine.
- Each technological wave builds on prior ones, accelerating change while large organizations slow down due to processes, politics, and legacy structures.
- Agents function as tireless digital interns with expert-level capabilities in narrow domains, amplifying the output of teams that already demonstrate initiative and creativity.
- Many place AI on top of legacy processes or rely too heavily on public LLMs, resulting in misaligned outputs and “AI tourism” instead of measurable impact.
- Clean enterprise data, secure deployment setups, and redesigned processes are essential to making agentic AI operational and strategically valuable.
Key takeaways:
- Focus on real-value use cases: innovation begins with a business problem, not with experimenting for its own sake.
- Prioritize structural readiness: clean data, redesigned workflows, and enterprise-grade AI infrastructure determine whether agentic systems deliver results.
- Empower motivated teams: the highest return comes from equipping individuals who seek change with advanced tools that amplify their capacity, rather than attempting blanket adoption across the organization.
Leaders need to take disruption seriously, double down on strategic intelligence, empower the people who want change, and invest in data and platform foundations before scaling agents.
Is Agentic AI already disrupting businesses (or can we just not see it yet)?
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Agentic AI is pushing leaders to rethink roles, processes, and governance far beyond another automation wave.
In this episode, Andreas Welsch speaks with Danielle Gifford, PwC Managing Director of AI, about how organizations should prepare for agentic AI. Danielle draws on frontline experience with enterprise pilots and deployments to explain why agents require new infrastructure, clearer role boundaries, and fresh approaches to governance and workforce design.
Highlights from the conversation:
- Why agents are different from classic rule-based automation: they’re goal-driven, context-aware and can act with autonomy, which creates both opportunity and risk.
- Where companies (especially in Canada) are on the adoption curve: pilots and POCs are increasing, but full-scale deployments need better data, guardrails, and change planning.
- How leaders should approach agent projects: start with the business problem, map processes, and decide where human + agent collaboration delivers the highest value.
- Workforce design and the “digital coworker”: practical advice on defining role boundaries, delegation rules, and how to evaluate outcomes when humans and agents collaborate.
- Multi-agent orchestration and governance: how to prevent agents from converging on weak solutions and how to build review, control, and accountability into agent systems.
Key takeaways:
- Business first: define the problem before choosing technology. Agents aren’t a silver bullet — they must solve a real, scoped pain point.
- Move from experimentation to implementation: Canadian enterprises are ready to progress beyond proofs of concept and invest in production-ready agent solutions with proper controls.
- Agents ≠ automation: treat agents as goal-based collaborators that need explicit boundaries, evaluation metrics, and workforce redesign.
If you lead teams, product strategy, or AI initiatives and want practical guidance for turning agent hype into measurable outcomes, this episode is for you. Listen now to get the full conversation and actionable next steps.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
AI agents are arriving fast, but the winners will be the organizations that pair them with trusted data, clear processes and security — not those who chase scale alone.
In this episode, Andreas Welsch talks with analyst and diginomica co-founder Jon Reed about what’s actually next for agentic AI: where real value is emerging, why many pilots stall, and how to move from hype to measurable outcomes. They cut through the noise around model releases and scary headlines, and focus on practical pathways for enterprise adoption.
Highlights include:
- Why throwing scale at models isn’t a cure-all and how enterprises succeed by constraining problems and adding domain context
- The “last mile” problem: when out-of-the-box LLMs miss industry-specific language, and when to fine-tune or use smaller domain models
- Data readiness as a multi-year journey — and how to weave data cleanup into early AI use cases so you can get wins fast
- Real business examples (procurement long-tail, finance workflows, shop-floor QA) where agents and ML already drive measurable impact
- Security, trust and identity for agents: new threat vectors, authentication challenges and when agent-to-agent interactions create additional risk
- Practical tech signals to watch: RAG + tool-calling, MCP/A2A protocols, zero-copy data approaches, and when to favor internal wins over multi-vendor orchestration
- People and culture: empower middle managers and junior staff to experiment safely, avoid short-sighted headcount cuts, and build communities of practice
- Legal and fairness considerations, including why frameworks like the EU AI Act offer useful risk-drive guardrails
If you lead an AI initiative, build data platforms, or are responsible for secure automation, this conversation gives realistic next steps — from choosing the right model size and partners to hardening agent deployments and capturing the first ROI moments.
Listen to the episode to learn how to move past hype and design agent strategies that actually deliver business outcomes.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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AI is reshaping every job from the C-Suite to the front line. It's happening at a pace unlike any change we’ve seen before.
But most leaders are uncomfortable leading this change. Despite all the talk about technology, AI-driven uncertainty is a deeply human topic. Sitting it out or waiting for someone else to solve the big questions of self-identity, value, and skills is not an option.
In this episode of "What’s the BUZZ?," host Andreas Welsch sits down with Alison McCauley, Author and Digital Change Strategist, to explore how leaders can navigate the uncertainty AI brings to the workplace.
Catch the BUZZ:
- Why will every role will change and how can leaders prepare?
- What's the critical role of expertise in the AI era?
- How can you equip your team with AI skills and big-picture thinking?
- When should you use AI as a thought partner?
Whether you’re a CEO, a mid-level manager, or just starting your career, this conversation offers actionable ways to lead with confidence when the future feels unclear.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Large corporations and startups are dominating the AI conversation. But how do non-profits adopt AI without compromising trust?
In this episode of "What’s the BUZZ?," host Andreas Welsch welcomes Scott Rosenkrans, VP of AI Innovation at DonorSearch, to the show to discuss how non-profits use AI to make a measurable impact.
Catch the BUZZ:
• Why does “just because you can” not always mean you should?
• How can predictive and generative AI work together to support human fundraisers?
• Why must donor relationships come before fundraising transactions?
• How does culture readiness in addition to tech readiness drive AI success?
• Which success metrics in fundraising go beyond total dollars raised?
If you’re a non-profit leader or change manager tasked with delivering results from AI, this conversation will help you set yourself up for success.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Chasing hype is easy. Delivering results with AI in the enterprise? That’s where leadership is tested.
In this week’s episode of "What’s the BUZZ?," I sat down with Jon Reed, industry analyst and co-founder of diginomica, to unpack some of the biggest myths that hold organizations back from real Agentic AI success.
Here are four myths that stood out:
1) Myth: It has to be Generative (or now, Agentic) AI
Predictive models, machine learning, and other “less flashy” approaches often deliver the most immediate ROI. Success starts with the problem you’re solving, not the trendiest tool.
2) Myth: Perfect data guarantees perfect results
Even with high-quality data, AI is probabilistic and not deterministic. Outliers and unusual errors happen. That’s why audit trails, risk management, and cultural readiness matter just as much as data quality.
3) Myth: AI replaces expertise and creativity
AI amplifies expertise but cannot substitute for it. Domain experts are critical for spotting flaws and guiding outcomes. And while AI can generate content, true creativity and ingenuity still rest with people.
4) Myth: Leaders don’t need to understand the tech
Courage and vision are vital, but without data and AI literacy, leaders risk reimagining the future on the wrong foundation. Both human leadership skills and technical fluency are essential.
If you’re serious about moving past AI buzzwords and building sustainable success in your organization, this conversation is for you.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
AI in the enterprise has moved from theoretical discussion to real deployments, with measurable business impact.
In this episode, host Andreas Welsch sits down with Bob Sakalas, Innovation Strategist at SAP, to explore how leading organizations are moving past the hype and actually delivering business value with AI.
Together, they discuss:
- How can you move your organization from a “what could go wrong” to a “what’s going right” mindset?
- Why does good AI start with good data, and does your business data really move the needle?
- What’s the bottom-line impact industry leaders in retail and transportation achieve with built-in AI?
- How does a collaborative approach fuel AI success, and what does it look like?
Whether you are an IT leader to hear how others are doing AI or tasked with maximizing the value from your SAP deployment, this episode offers insights straight from the source that you can apply right away. Are you ready to hear more?
Join SAP's Platform & Data Summit series in North America this September and October to hear from IT leaders and practitioners how they are getting value from AI in the SAP applications they use every day: https://events.sap.com/us-2025-sap-data-summit-home/en_us/home.html?source=Andreas3
Thank you, SAP, for sponsoring this episode.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if your AI agents could not only collaborate but also autonomously safeguard your enterprise?
In this episode, host Andreas Welsch sits down with Steve Wilson, Chief AI and Product Officer at Exabeam, to explore the nuances of securing agentic AI and the emerging landscape of multi-agent communication.
Together, they discuss how businesses can enhance their cybersecurity measures while adapting to the rapid evolution of AI capabilities, from agency levels to ethical governance.
Learn about practical strategies for evaluating AI agent frameworks, mitigating insider threats, and implementing security-first approaches in a world increasingly dominated by AI:
- What are the internal and external threats and challenges of AI agents and Agent-to-Agent (A2A)/ multi-agent systems?
- How can organizations defend against those threats?
- What can also go right with Agentic AI security?
- What do AI and IT leaders need to do to ensure enterprise security despite all the Agent sprawl?
Ready to navigate the complexities of AI security? Don't miss this insightful conversation and tune in now to tap into the potential of secure AI agents for your business!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if you could navigate the complex landscape of AI projects with a proven methodology?
In this episode, host Andreas Welsch welcomes Kathleen Walch, Director of AI Engagement at the Project Management Institute, as they explore CPMAI, an essential framework for leading successful AI initiatives.
From identifying real business problems to understanding crucial data requirements, Kathleen shares her expertise on the importance of a data-centric approach:
- What are the most common challenges new AI leaders run into?
- What are the key steps to successful AI projects?
- What’s the #1 surprising thing about AI projects and leadership?
- What’s next with Agentic AI and how will it change the paradigm of what AI leaders need to do?
With actionable insights and compelling examples, this episode provides an invaluable resource for any business leader seeking to leverage the power of AI.
Don't miss out on learning how to transform AI hype into meaningful outcomes—tune in now!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Is your AI strategy built for sustainable impact—or stuck chasing the next big trend?
In this episode, host Andreas Welsch welcomes enterprise tech analyst Jon Reed for a candid discussion on what’s actually happening with AI agents in business today. Drawing from recent enterprise conferences and frontline conversations, Jon shares hard-won insights into what works, what doesn’t, and why so many AI projects still fail to deliver meaningful outcomes.
Discover the foundational shifts organizations must make to move beyond pilots and hype cycles:
- Focus on AI readiness over AI-first: Learn why leading with experimentation, not mandates, sets the stage for responsible and scalable AI adoption.
- Build a culture of trust, not fear: Understand how shadow AI is spreading—and how safe sandboxes and clear communication can turn experimentation into impact.
- Prioritize business outcomes, not abstract autonomy: Explore how hybrid agent-human designs deliver ROI faster than full automation—and why “good enough” might be good enough to start.
- Treat AI like a data project: From agent performance measurement to governance protocols, hear why the enterprise AI stack demands more than plugging in a model.
Whether you’re a CIO navigating vendor noise, a business leader seeking ROI, or a transformation leader building internal alignment—this episode delivers grounded strategies and real-world guidance for leading in the era of Agentic AI.
Tune in now to explore what it takes to make AI both productive and practical in the enterprise.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if the future of your business relied on mastering AI agents?
In this episode, host Andreas Welsch explores the essential skills required to work effectively with AI agents and transform your organization. Join Andreas as he talks with John Thompson, Senior VP at The Hackett Group, who brings a wealth of experience from leading AI initiatives in multiple high-profile companies.
They explore critical themes, including the integration of AI into business processes, the comparison of AI agents to traditional automation, and the need to develop critical thinking skills in an era dominated by AI.
You'll gain practical insights on building a secure environment for AI experimentation and discover how to navigate the complexities surrounding AI use in the workplace.
Don't miss this chance to future-proof your business—tune in now to turn AI potential into action!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Everyone is talking about building AI agents. But is your foundation even ready?
In this episode, Andreas Welsch speaks with Barr Moses, CEO of Monte Carlo, about the hidden risks behind the push for Agentic AI and what business leaders are missing when they rush to scale.
Barr shares what she’s hearing from data and AI leaders: The majority is building or deploying AI this year, but only 1 in 3 believe their data is ready, and even few have a reliable way to ensure agent outputs are correct.
What does that mean for your AI roadmap? A strong model or prompt isn’t enough. If the data is wrong, the agent’s action will be wrong and in some cases, costly. From AI chatbots selling cars for $1 to data platforms returning flawed recommendations, the risks are real.
Barr also breaks down three areas data and AI teams must prioritize:
- Productivity by using AI to accelerate their own workflows
- Readiness to build a foundation of high-quality, trustworthy data
- Realiability by ensuring AI agents produce outputs that align with business goals
If you’re working on an AI strategy or are leading teams expected to deliver on it, this conversation makes the case for why AI success is built upon operational readiness.
Don't miss out on the conversation – tune in now to learn how to turn AI hype into business outcomes.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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Is your company ready to realize the true potential of AI agents or just riding the hype train?
In this episode, host Andreas Welsch sits down with Leah Tharin, an expert in product-led growth, to discuss how businesses can effectively use AI agents to transform their operations and drive success. Leah shares her insights on the complexities of integrating AI solutions into existing workflows, the importance of understanding customer success, and the challenges of pricing and positioning AI products.
Discover the critical shift companies need to make from siloed solutions to cross-functional strategies to unlock the real value of AI:
- Understand the existing challenges within your customer’s data environment. By demonstrating how your AI agents can streamline processes across departments, you can earn crucial buy-in and trust.
- Align monetization with customer success to avoid pricing structures that deter potential users. Instead, create transparent models that align your success with your customers', fostering sustainable relationships.
- Embrace a cross-functional mindset, break down departmental silos and showcase your solution as a holistic tool that enhances overall company efficiency.
These strategies can transform how you approach AI sales and lead your organization into the future.
If you're a business leader or tech enthusiast looking for actionable insights to thrive in the AI landscape, this episode is a must-listen!
Don't miss out on the conversation – tune in now to learn how to turn AI hype into business outcomes.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
How can leaders foster a true AI mindset among their teams?
In this episode, host Andreas Welsch illuminates this pressing question with guest Matt Lewis, CEO and Chief Augmented Intelligence Officer of LLMental. Drawing from decades in Data & AI leadership roles in healthcare/ life sciences, Matt shares invaluable insights into how a leadership mindset profoundly influences AI adoption within organizations.
Discover why human factors, rather than just technology, play a crucial role in successful AI integration, and learn practical strategies for empowering teams and demystifying AI.
Whether you're a business leader or just curious about the intersection of AI and leadership, this episode is rich with knowledge to help navigate the complexities of AI transformation.
Ready to elevate your organization's approach to AI? Don't miss this enlightening discussion—listen now!"
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if you could cut through the noise of AI hype and truly understand agentic AI's potential?
In this episode, host Andreas Welsch engages with Peter Gostev, Head of AI at MoonPig, to explore the practical implications of AI agents in business. Together, we delve into key distinctions between genuine agentic capabilities and simple workflows, as well as meaningful applications like research and coding agents.
In this episode, we discuss key issues shaping AI adoption:
• Every company seems to be launching an Agentic AI product. How can leaders avoid getting fooled by marketing buzzwords?
• What defines a true AI agent, and how does it differ from a simple LLM-powered workflow?
• AI job titles are shifting—but do you need to update your title with every latest development?
• Who’s experimenting with AI agents, who’s rolling them out at scale, and which companies have already been using them for a while?
Whether you're navigating the complexities of AI in your organization or simply curious about its future impact, this episode is packed with insights that can help you make informed decisions.
Ready to separate fact from fiction in AI claims? Don’t miss this enlightening discussion—tune in now!
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if the secret to harnessing AI in your business lies in strong governance and collaboration?
In this episode, host Andreas Welsch speaks with Maxim Ioffe, Director Global IA CoE at WESCO, about the critical role of governance in AI adoption. They explore how companies can strategically align technology with business goals while fostering an innovative culture.
Maxim shares invaluable insights on developing a comprehensive AI mission, ensuring that governance frameworks are in place, and emphasizing the importance of employee education in AI integration. As organizations face challenges around ethics, security, and the risk of rogue AI behavior, this episode offers a roadmap for transforming AI from a buzzword into a powerful business ally:
- How can IT organizations become an innovation engine rather than be the breaking pads?
- What strategies are effective for raising awareness of data privacy and security with AI?
- What does this new reality of consumer AI tools mean for IT leaders?
- Who should own the AI governance, and who needs to be around the table?
Whether you're a tech leader or a business executive, the actionable strategies discussed will help you create a thriving environment for AI adoption. Are you ready to dive into the world of AI governance and innovation?
Don’t miss this episode—tune in now for groundbreaking insights that could shape your business's future!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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It's the age-old problem: business and technology stakeholders don't speak the same language. But why do we need them to come together—and how can that happen?
In this episode of "What's the BUZZ?—AI in Business," host Andreas Welsch engages in a compelling conversation with Camila Manera, an AI expert and entrepreneur, as they explore the critical intersection of artificial intelligence and business strategy.
Camila shines a light on the pressing need for AI "translators" within organizations—individuals who bridge the gap between AI technology and business goals, empowering teams to take ownership of AI projects. Together, they address essential topics such as:
- How to cultivate a culture of AI understanding
- The importance of long-term strategies over short-term fixes
- The current state of AI adoption in South America, specifically in Argentina
Whether you're navigating the complexities of AI implementation or seeking to leverage its potential for operational efficiency, this episode is loaded with valuable insights. Discover how AI can transform not just processes but also team dynamics, enabling your organization to thrive amid the chaos of technological change.
Ready to harness the true potential of AI in your business? Tune in now to listen and learn how to turn AI hype into concrete outcomes!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if you could create a fully functional app just by expressing your idea in natural language?
In this episode, host Andreas Welsch catches up with Matt van Itallie, the founder and CEO of Sema, to explore the exciting world of vibecoding. Discover how vibecoding is democratizing app development, enabling even those without programming skills to prototype live applications with ease.
Matt shares valuable insights into the risks of relying too heavily on AI-generated code, emphasizing the importance of having a human in the loop to ensure security and quality:
- What is vibecoding, and why is it such a popular trend?
- How does vibecoding democratize access to software development?
- What are the unexpected challenges that novice coders run into?
- Which questions do investors and private equity firms ask before acquiring or investing in a software company?
Learn how to harness this powerful tool while avoiding common pitfalls, and understand what it means for developers and investors alike.
Don’t miss this chance to future-proof your business with actionable AI strategies—tune in now!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if the next member of your team could be an AI agent, designed to think independently, adapt, and collaborate seamlessly with others?
In this episode, host Andreas Welsch engages in an enlightening conversation with Tomas Gogar, CEO and co-founder of Rossum, as they explore the potential of AI agents in the modern workplace. Together, they discuss critical topics such as the challenges of making AI agents enterprise-ready, the importance of reliability and governance in AI deployments, and how these intelligent systems can redefine efficiency and decision-making in businesses.
Key discussions include:
- How can organizations create robust AI agents that excel in complex environments?
- What unique qualities make an AI agent suitable for handling processes requiring precision and accountability?
- The necessity of establishing clear guardrails to ensure AI operates within safe boundaries while still retaining flexibility.
- Insights on fostering collaboration between human employees and AI agents for optimal team dynamics.
Whether you’re a business leader exploring AI integration or a tech enthusiast eager to understand AI’s evolving role, this episode is filled with practical insights and innovative strategies.
Don’t miss out on this opportunity to understand how to harness the AI wave effectively! Tune in now to discover how to transform AI hype into measurable business success!
PS: Thank you to the team at Rossum AI for sponsoring this episode.
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if the future of work includes team members who aren't human but highly capable AI agents?
In this episode of “What’s the BUZZ?—AI in Business,” host Andreas Welsch engages in a fascinating discussion with Dan Sodergren, a seasoned keynote speaker and tech futurist, on the swiftly changing landscape of AI agents and their implications for the workforce. Learn how AI can be more than just a tool but a collaborator, reshaping how businesses operate.
Dan shares his insights as they explore pivotal questions:
- What does that mean for the people in a business doing the work today if agents take over market research, operational tasks, etc.?
- CEOs are ordering their staff back to the office. At the same time, we see layoffs left and right to “prepare for AI”. Is that the future of work?
- How can people still make a living when they’re either out of a job or only have half a job?
- Will AI agents turn a good portion of the population into gig workers? And will we farm out that work to our agents as proxies?
- What makes you hopeful about that future with AI?
This episode is essential listening for anyone from business leaders to tech enthusiasts looking to navigate the AI revolution in a way that fosters growth and efficiency. Discover the balance between leveraging AI for productivity while retaining human decision-making capabilities.
Are you ready to revolutionize your approach to AI and ensure your business stands out in this new era? Tune in now to turn AI hype into concrete business outcomes!
Questions or suggestions? Send me a Text Message.
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if your next co-worker was an AI that could think and act like a human?
In this episode of “What’s the BUZZ?,” host Andreas Welsch sits down with Eduardo Ordax, Generative AI Lead at AWS, to explore the groundbreaking world of AI agents and their potential to revolutionize business operations.
As companies race to adopt AI, Eduardo shares valuable insights on how these intelligent agents can evolve from mere task automation to strategic partners capable of planning, self-correcting, and collaborating across functions.
Together, they explore essential topics including:
- The reality behind AI agents that separates them from traditional automation tools
- The importance of starting small to effectively integrate AI agents into existing workflows
- Key technologies and frameworks for building AI agents
- The evolving landscape of AI and the challenges that lie ahead
Whether you’re a business executive seeking innovative solutions, a tech aficionado keeping an eye on the latest trends, or interested in the practical applications of AI in the corporate world, this episode offers a treasure trove of actionable insights.
Ready to unlock the potential of AI agents for your business?
Don't miss this episode—tune in now to find out how you can transform AI hype into real-world results!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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Can AI truly reshape the future of work, or is it just another passing trend?
In this episode of "What's the BUZZ?", host Andreas Welsch sits down with Joe Reis, a seasoned authority in data engineering and a passionately outspoken advocate for mental wellness in tech.
Join them as they dive into the real implications of AI in modern business, exploring the thin line between innovation and burnout. They discuss the overwhelming hype surrounding AI technologies, particularly in the wake of breakthroughs like ChatGPT, and the genuine strain it places on professionals in the field. Joe shares insights from his experience working with companies of all sizes, revealing that while the excitement for AI is palpable, many organizations are still grappling with basic data management and business intelligence.
Together, Andreas and Joe tackle critical questions:
- How can companies effectively harness AI without neglecting their foundational data needs?
- What strategies can leaders implement to promote mental wellness and prevent burnout among their teams amidst rising expectations?
- Is the future of work shifting towards an 'agent economy' where workers can engage multiple roles simultaneously, aided by AI?
This episode is essential listening for anyone concerned about the intersection of rapid technological advancement and employee well-being. Whether you’re a leader navigating the AI landscape or an individual contributor feeling the pressure, Andreas and Joe provide actionable insights that can help you thrive.
Ready to uncover how to turn AI hype into real business outcomes without burning out?
Don't miss this enlightening discussion—tune in now!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if the next big decision-maker in your business wasn't a human, but an AI system designed to enhance human capabilities and drive strategic results?
In this episode of "What’s the BUZZ?—AI in Business," host Andreas Welsch engages in a compelling conversation with Kate O'Neill, the Tech Humanist, who shares her extensive knowledge on the interplay between technology and human experience. They explore how leaders can navigate the fast-paced changes in technology while keeping humanity at the forefront.
Together, they delve into crucial topics, such as why the future of work is a blended environment of humans and AI, how to cultivate clarity in leadership amidst ambiguity, and the importance of embedding human-centric values in technology decisions. What skills do leaders need to adapt to this new landscape, and how can businesses ensure that growth does not come at the expense of employee well-being?
Whether you're a seasoned executive, an aspiring leader, or simply fascinated by the evolving tech landscape, this episode provides valuable insights and practical frameworks for harnessing AI while enhancing human potential.
Ready to transform the way you think about AI in your organization? Tune in now and discover how to move beyond the hype and achieve meaningful business outcomes!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
What if the key to unlocking AI’s potential in your business wasn’t just the technology—but how you prepare your team to use it?
In this episode of What’s the BUZZ?, host Andreas Welsch and Nico Bitzer, CEO and Co-Founder of Bots and People, explore how businesses can move beyond the AI hype and start seeing real, measurable outcomes.
Together, they take a deep dive into:
- Why simply buying AI tools isn’t enough—and how the real ROI lies in employee upskilling.
- How companies are using innovative training formats like social blended learning to engage employees and drive adoption.
- The critical steps leaders can take to align training with business goals and measure its impact effectively.
Hear about real-world examples, including a European telecom company that trained 5,000 employees in AI, leading to measurable time savings and productivity gains. Learn how to design training programs that don’t just teach employees how to use AI—but empower them to think critically, solve problems, and innovate in their roles.
Whether you’re a business leader, an L&D professional, or simply curious about bridging the gap between AI tools and business outcomes, this episode is packed with practical takeaways.
Ready to turn AI hype into action? Don’t miss this episode—tune in now to revolutionize your approach to AI in the workplace!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if your next big innovation didn’t come from your IT department, but from a non-technical team member empowered to create AI-driven applications?
In this episode, host Andreas Welsch and guest Ian Barkin (Entrepreneur, Investor, and Author) explore the transformative potential of citizen development and its role in breaking down barriers to digital transformation.
We dive into how low-code and no-code platforms are enabling non-technical experts to build impactful applications, filling critical gaps in business processes. Together, we tackle pressing questions:
- How can businesses unlock the untapped potential of citizen developers to drive innovation?
- What does effective governance look like to prevent shadow AI from going rogue?
- Why is it essential for IT and business leaders to collaborate on citizen development initiatives?
You’ll also discover Ian’s 4G framework for managing citizen development programs and gain practical insights into bridging the gap between IT and business to achieve scalable AI success.
Whether you’re an IT leader, a business innovator, or simply curious about empowering your workforce to drive smarter solutions, this episode is packed with actionable strategies.
Ready to turn citizen development into a competitive advantage?
Don’t miss this episode—tune in now to discover how to turn the AI hype into tangible outcomes!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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What if your next team member wasn’t human, but an AI agent capable of planning, self-correcting, and collaborating with other agents to deliver results? In this episode, host Andreas Welsch and guest, Kiumarse Zamanian PhD (Senior Product Executive), dive deep into the rapidly evolving world of AI agent frameworks, revealing how they’re transforming businesses from the ground up.
We break down how businesses can harness the power of AI agents for smarter, faster operations. Together, we tackle pressing questions:
- How can AI agents move beyond simple task automation to act as independent collaborators?
- What does the ideal AI agent framework look like, and how do you evaluate it for your business?
- Why is ethical governance critical, and how can organizations set up guardrails to prevent rogue behavior?
Whether you’re a business leader, a tech enthusiast, or simply curious about the future of AI, this episode is packed with actionable insights. Learn about key frameworks like LangChain, AutoGen, and Crew AI, and explore strategies for integrating AI agents into your workflows while maintaining control and scalability.
Ready to future-proof your business with AI agents?Don’t miss this episode—tune in now to discover how to turn the AI hype into tangible outcomes!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Is AI just another buzzword, or can it truly revolutionize your business? In this episode, host Andreas Welsch and guest Leanne Shelton break down how business leaders can cut through the hype and harness AI to achieve meaningful results.
Key takeaways include:
- How to integrate AI tools into existing workflows without losing your team’s unique strengths.
- Why balancing AI efficiency with human expertise is critical for long-term success.
- Proven strategies to train AI for your brand’s voice and audience needs.
- A rundown of AI tools that deliver results and tips to avoid costly missteps.
Packed with actionable insights, this episode is a must-listen for business leaders ready to turn AI into a competitive advantage—not just a buzzword.
Ready to unlock AI’s true potential for your organization?
Listen now and start driving results today!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
Is your business ready to harness the full potential of AI? Learn how to move beyond the hype and use AI tools like large language models (LLMs) to drive real outcomes in document processing, enterprise integration, and more.
In this episode of What’s the BUZZ?—AI in Business, host Andreas Welsch is joined by guest Petr Baudis, co-founder and CTO of Rossum. Together, they explore how AI leaders can achieve measurable results with automation and large language models. Sponsored by Rossum, this episode takes a deep dive into the strategies and tools that transform business processes and improve ROI.
Discover:
•How reliability in AI-powered document processing prevents errors and saves time.
•Why adaptability matters, and how intelligent systems can align with your unique workflows.
•The benefits of seamless integration in large organizations with complex IT ecosystems.
The conversation also takes a forward-looking view of AI’s role in business, discussing the rise of Artificial General Intelligence (AGI) and its implications for enterprise IT. Petr shares insights on why preparing for AGI today is essential for future-proofing your organization.
Don’t just follow the AI buzz—turn it into actionable results. Tune in to hear Petr Baudis share how Rossum is shaping the future of document automation and how your business can stay ahead with AI. Listen today!
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Bernhard Ritz (CEO & Founder, Ainzel) and Andreas Welsch discuss supercharging your business processes with collaborative AI agents. Bernhard shares his insights on introducing AI agents into business functions and provides valuable advice for listeners looking to elevate their business operations with the help of a virtual team of expert agents.
Key topics:
- Describe the opportunity to bring AI agents into your business processes
- Determine the challenges of bringing AI agents to human-AI teams
- Quantify the value of collaborative AI agents for business functions
- Recommend how to start exploring AI agents
Listen to the full episode to hear how you can:
- Take a business look at AI and re-imagining your business processes
- Learn to work with AI agent frameworks
- Define management as a function spanning humans and AI agents
- Articulate limitations and guardrails for using AI agents
Watch this episode on YouTube:
https://youtu.be/FnkeZMSIbHI
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Jeremy Gilliland (Automation & AI Leader) and Andreas Welsch discuss how Generative AI enables next-level process automation. Jeremy shares his learnings on vendors adding agentic AI to their RPA products and provides valuable advice for listeners looking to explore both technologies together..
Key topics:
- Describe how Generative AI expands traditional RPA
- Assess the potential for IT and Automation leaders when combining technologies
- Leverage both technologies’ advantages when integrating them
- Decide how to start using Generative AI and RPA together
Listen to the full episode to hear how you can:
- Benefit from RPA and Generative AI integration
- Leverage Generative AI agents and RPA for business model transformation
- Minimize dependencies within your tech stack and have an AI and automation platform for increased efficiency
Watch this episode on YouTube:
https://www.youtu.be/Qmn6kMTkDmw
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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In this episode, Nicole Wieberneit (Sales & Go-To-Market Leader) and Andreas Welsch discuss scaling go-to-market (GTM) for enterprise Generative AI. Nicole shares her approach to introducing technology innovations such as AI to sales teams, and provides valuable advice for listeners looking to scale their product sales through an enabled and engaged sales force.
Key topics:
- Be aware of marketing and sales' frequent reputation as overhyping capabilities or being overly shallow
- Approach GTM design for AI differently from traditional SaaS
- Balance product knowledge and depth with sales teams’ quarterly incentives
- Adapt incentive structures within a software company for sales teams to become a true advisor to customers
- Focus on vertical markets for AI SaaS
Listen to the full episode to hear how you can:
- Focus on a product, industry, or region to maximize your impact
- Articulate the problem you solve and build your pitch around it
- Understand your target buyer before creating your sales orchestration
- Test, experiment, and be open to feedback and adjustments
Watch this episode on YouTube:
https://youtu.be/sa-fW3iee5Y
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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In this episode, Steve Wilson (Co-Lead OWASP Top 10 for LLM Apps & Author) and Andreas Welsch discuss red-teaming and safeguards for LLM applications. Steve shares his insights how Generative AI vulnerabilities have evolved from embarrassing to financially risky and provides valuable advice for listeners looking to improve the security of their Generative AI applications.
Key topics:
- One year after OWASP Top 10 for LLM apps, how have LLM security and vulnerabilities evolved?
- How do you build Generative AI safeguards into your app? What’s the impact on cost for checking and regenerating output?
- How can you red-team your LLM apps?
- Which roles or skillsets are best suited to improve security?
Listen to this episode and learn how to:
- Become aware of new ways bad actors can exploit your LLM-based apps and assistants (prompt injection, supply chain attack, data exfiltration, etc.)
- Understand the characteristics of your LLM supply chain and new vulnerabilities
- Consider the implications of using agents on your security
Watch this episode on YouTube:
https://youtu.be/Rpp7u93mDfM
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
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In this special episode, Andreas Welsch launches his new AI Leadership Handbook together with fellow AI leaders:
- Matt Lewis (Founder & CEO, LLMental)
- Brian Evergreen (CEO of The Future Solving Company)
- Maya Mikhailov (Founder & CEO, SAVVI.AI
- Paul Kurchina (Enterprise Architecture Community Leader)
- Harpreet Sahota (Developer Relations Expert)
- Steve Wilson (Chief Product Officer at Exabeam and Co-Author of the OWASP Top 10 for LLM Applications)
Key topics:
- What’s keeping Chief AI Officers up at night?
- What’s the hardest part for new AI leaders coming into an AI leadership role?
- What does a future with AI agents look like?
- How can AI leaders succeed in this phase of AI adoption where we’re just coming off the hype?
- Why do we still need to educate business leaders and stakeholders about AI?
- Why is AI here to stay this time and why should IT teams and CoEs care?
- How has RAG evolved over the last 12 months?
- How does data play into concepts like RAG and agents? And why is it important to still keep an eye on technology?
- What is happening in the cybersecurity space since the release of the OWASP Top 10 for LLM Apps?
- How are bad actors exploiting LLMs’ personalization capabilities and why do leaders need to know about LLM vulnerabilities?
Listen to the full episode to hear how you can:
- The sheer possibility of what AI can do now can seem overwhelming—even for AI experts and leaders.
- AI agents promise autonomy, automation, and optimization beyond anything currently possible, with agents negotiating with other agents to find an optimal solution.
- Data remains a critical ingredient for any successful AI project that many leaders still neglect.
- IT leaders are asking for tangible examples and return on their investment when working with embedded AI solutions.
- Agentic RAG has emerged as the latest iteration of RAG systems—however, data quality remains critical to achieve high quality outputs.
- The cybersecurity discourse has evolved from avoiding embarrasing PR to avoiding data leakage and legal consequences with bad actors looking to exploit these new LLM-based systems.
Order your copy of the AI Leadership Handbook today: https://aileadershiphandbook.com/order
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https://youtu.be/TMSfRMYooy0
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Quentin Reil (Founder & Chief AI Officer) and Andreas Welsch discuss the four key challenges of Generative AI that you can't ignore. Quentin shares his story about leveraging business data as a differentiator and provides valuable advice for listeners looking to overcome the most common issues surrounding Generative AI applications.
Key topics:
- Describe the impact of the evolving Generative AI landscape on business strategies
- Assess the “fitness” of different Large Language Models to solve particular customer needs
- Select technologies that can address the challenges of Generative AI
- Understand the role of data in the current regulatory landscape
Listen to the full episode to hear how you can:
- Concentrate on the problem rather than the technology
- Leverage your business data as a differentiator of your AI applications
- Drive business outcomes based on data-centric products and applications
Watch this episode on YouTube:
https://youtu.be/GKQUyiekGAM
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Lasse Rindom (AI Lead, BASICO) and Andreas Welsch discuss leveraging the AI hype and disillusionment to drive business impact. Lasse shares his story from previous hype cycles in Automation and AI to the latest one of Generative AI and provides valuable advice for listeners looking to get actionable insights into driving AI adoption in their business.
Key topics:
- Assess the current AI adoption phase in the market between AI hype and disillusionment
- Leverage the Generative AI momentum to drive business impact
- Evaluate analysts’ forecasts to continue the AI momentum in business and focus on promising areas
- Decide why to continue investing in AI solutions for business growth
Listen to the full episode to hear how you can:
- Focus on delivering business value through AI and automation rather than fixating on Generative AI as a technology
- Provide tangible examples and training for employees to become skilled users of AI-enhanced tools
- Drive AI innovation while understanding and mitigating the risks
- Countries like Denmark are leading the way in exploring Digitalization and AI, and are actively driving adoption
Watch this episode on YouTube:
https://youtu.be/87N5dQ7_RQk
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Marek Kowalkiewicz (Professor & Author) and Andreas Welsch discuss how AI agents will change the way we work. Marek shares his insights on the economy of algorithms that guide our everyday lives and provides valuable advice for listeners looking to learn how AI agents will shape our workplace.
Key topics:
- Describe the evolution from manual to digital and AI labor
- Anticipate change in business functions because of increased AI
- Support your business teams to prepare for a shift towards AI labor
- Share examples of algorithmic decision-making
Listen to the full episode to hear how you can:
- Anticipate AI algorithms influencing our behavior just as much as we influence theirs
- Expect colleagues will assume you have used AI, even when you have created it yourself
- Learn to collaborate with AI and AI agents to improve results
- Encourage employees to use Generative AI and share their approach with peers
Watch this episode on YouTube:
https://youtu.be/0uEEXP_tL2A
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.com
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Pedro Berrocoso (Digital Procurement & Automation Advisor) and Andreas Welsch explore Generative AI in Procurement. Pedro shares example) on leveraging the latest generation of AI in Procurement and provides valuable advice for listeners looking to identify opportunities for leveraging this technology in their own business.
Key topics:
- Assess the Generative AI opportunities in Procurement
- Learn from a tangible example of adopting Generative AI and the associated challenges
- Anticipate AI agents that autonomously negotiate on behalf of a supplier and a customer
- Prepare Procurement leaders to explore using Generative AI
Listen to the full episode to hear how you can:
- Determine Generative AI’s potential within Procurement along 4 pillars
- Apply Generative AI selectively to address specific pain points in your source-to-pay process
- Promote trust, acceptance, and adoption of the AI solutions that you deploy
- Establish basic AI literacy within your Procurement organization, as your suppliers will leverage the technology when sending you information
Watch this episode on YouTube:
https://youtu.be/1SX-_OzkfWY
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Mark Beccue (Independent Market Analyst) and Andreas Welsch cut through the Generative AI hype. Mark shares examples of B2B software vendors leading the Generative AI development and adoption based on past learnings, and provides valuable advice for listeners looking to ascertain where the AI market is going.
Key topics:
- Assess the current phase of AI adoption between AI hype and disillusionment
- Recognize software vendors’ sound AI strategy and what they do they do well for their customers
- Evaluate commercial models that resonate the most with B2B buyers (transaction- or user-based)
- Anticipate where Generative AI go within the next 6 months
Listen to the full episode to hear how you can:
- Follow incumbents in the software industry who have learned from and improved after the machine learning hype
- Glean at responsible AI practices and operationalization by industry leaders for your own business
- Start with a business problem first before chasing technologies such as Generative AI
- Keep AI projects pragmatic to avoid disillusionment
Watch this episode on YouTube:
https://youtu.be/d2ME8t5I6ag
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Jonas Christensen (Senior Data & Analytics Leader) and Andreas Welsch discuss adopting a data-centric Machine Learning approach for small datasets. Jonas shares learnings on improving data quality before building models and provides valuable advice for listeners looking to improve their results with small data sets.
Key topics:
- Describe the common challenges businesses still run into with Machine Learning
- Evaluate options for working with small data sets
- Advise data scientists to get more data and better data
- Deliver business value from Machine Learning at a time when everybody wants to chase Generative AI
Listen to the full episode to hear how you can:
- Work toward better data quality over improving your model parameters
- Approach data science as a team sport that requires actively influencing your business stakeholders
- Share with your stakeholders how you use the data downstream to get them excited about their contribution
Watch this episode on YouTube:
https://youtu.be/C_GlTgRmeL8
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Jeremy Ravenel (Founder naas.ai) and Andreas Welsch discuss building AI agents for business with a mixture of assistants. Jeremy shares his journey from corporate finance to building a technology platform for AI agents and provides valuable insight) for listeners looking to increase efficiencies in their business with the help of AI agents that act as personal assistants.
Key topics:
- Learn why businesses need a specialized kind of intelligence
- Assess when AI agents useful in business
- Enhance AI apps with knowledge graphs
Listen to the full episode to hear how you can:
- Be skeptical about the output that LLMs create
- Map your internal knowledge with a knowledge graph to make it accessible to LLMs and AI agents
- Describe your business in processes and workflows to spot potential areas for using AI agents
Watch this episode on YouTube:
https://youtu.be/_E4YS-ypS9I
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Srujana Kaddevarmuth (Senior AI CoE Leader) and Andreas Welsch discuss scaling enterprise AI products across the business. Srujana shares her insights on applying a product mindset to building AI capabilities and provides valuable advice for listeners looking to scale their AI applications across the enterprise.
Key topics:
- Productize AI capabilities through a holistic approach from idea to improvement
- Raise awareness of the risks and nuances of deploying AI in the enterprise
- Decide when to use Machine Learning and Generative AI — individually and together
- Increase diversity on your AI product team for more inclusive results
Listen to the full episode to hear how you can:
- Apply a product mindset to data democratization and AI productization in your organization
- Raise awareness for the risks associated with productizing AI, ranging from biases to permitted vs. prohibited use cases
- Celebrate and intentionally build diversity in your organization to build products that can be useful and acceptable by the different sections of society
Watch this episode on YouTube:
https://youtu.be/goysDB00D9s
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Kence Anderson (Founder & Machine Teaching Expert) and Andreas Welsch discuss how you can determine if your AI agents are ready for enterprise decision-making. Kence shares his learnings on building autonomous AI agents for top Fortune 500 companies and provides valuable advice for listeners looking to get started with agents in their business.
Key topics:
- Understand the prerequisites of complex agents
- Learn when to apply machine teaching for agents
- Differentiate between simple tasks and complex reasoning
- Get tips for getting started with agents
Listen to the full episode to hear how you can:
- Teach high-performance AI systems for increased quality and trust of decision-making
- Build a foundational understanding of data, LLMs, deep reinforcement learning, optimization, and software architecture
- Compose AI agents with technology-independent building blocks
- Create hybrid teams of business and technology experts for maximum relevance of AI products
Watch this episode on YouTube:
https://youtu.be/Ev0sYU3tFS0
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Philippe Rambach (Chief AI Officer, Schneider Electric) and Andreas Welsch discuss driving sustainability and energy efficiency with AI leadership. Philippe shares (their story/journey/insights/perspective/learnings/examples) on (specific aspect of topic) and provides valuable (advice/tips/insights) for listeners looking to (achieve specific outcome/learn more about topic).
Key topics:
- Get support for AI projects within your company
- Prioritize AI scenarios based on business value and momentum-building
- Anticipate future expected energy use for AI and its impact
- Seize opportunities for AI in manufacturing
Listen to the full episode to hear how you can:
- Start from business value instead of the AI technology
- AI can optimize energy consumption and lower carbon emissions depending upon its use case
- Select AI technology based on cost and emissions
- Machine Learning remains highly relevant for processing structured data and forecasting
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https://youtu.be/i5lwGFvYU_c
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Randy Bean (Founder, Data & AI Leadership Exchange) and Andreas Welsch discuss going beyond quick-win use cases for Generative AI. Randy shares perspective on data and AI leadership, spanning more than 35 years of experience in the industry, and provides valuable advice for listeners looking to move from quick wins to strategic AI programs in business.
Key topics:
- See the parallels (good and bad) between the Generative AI and Machine Learning hype?
- Determine the top kinds of Generative AI use cases for organizations
- Learn about the next wave after the quick-win use cases (generation, summarization, coding, …)?
- Prepare for the biggest challenges that AI leaders face
Listen to the full episode to hear how you can:
- Address leaders’ exaggerated AI enthusiasm and pessimism
- Get key results from long-running Fortune 1000 data & AI survey
- Learn how Generative AI can support healthcare staff with compassionate medical notes
- Manage expectations with a realistic and pragmatic mindset
Watch this episode on YouTube:
https://youtu.be/wZc8HaSWw-s
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Elizabeth M. Adams (Leader of Responsible AI) and Andreas Welsch discuss increasing engagement in Responsible AI programs. Elizabeth shares findings from her doctoral research on responsible AI engagement in Fortune 10 companies and startups. She provides valuable insights for listeners looking to create effective responsible AI programs within their businesses.
Key topics:
- Evolution of responsible AI in times of Generative AI
- Common barriers to creating an effective responsible AI program
- Leadership approach to increasing employee engagement and participation in responsible AI programs
- Navigating conversations with employees when their jobs are affected by AI
Listen to the full episode to hear how you can:
- Develop a responsible AI vision for the organization
- Make the vision concrete through AI ethics statements
- Ensure employees are aware of AI ethics policies and how they relate to their work
- Provide a path to raise stakeholder claims and build trust that claims are addressed
Watch this episode on YouTube:
https://youtu.be/o7ygYzN6GBE
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Bernard Marr (Futurist & Author) and Andreas Welsch discuss preparing for a future of converging technologies and AI. Bernard shares his insights on the next wave of AI-driven innovation and provides valuable examples for listeners looking to seize opportunities across their business when data, AI, mixed reality, and many more capabilities come together.
Key topics:
- Learn about the next wave of Generative AI-driven innovation
- Hear how modalities, agentic AI, and other technologies converge in the near and distant future
- Seize the opportunity for business leaders in traditional industries
- Prepare today to set your business up for future success in this environment
Listen to the full episode to hear how you can:
- See the opportunity of AI for different modalities coming together (e.g. text, audio, video)
- Envision the future of your business and what role AI plays in enabling that strategy
- Focus on humans and how technology can empower them
- Communicate clearly and openly while embracing learning and change
Watch this episode on YouTube:
https://youtu.be/30YZejRr2aw
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Sadie St. Lawrence (Founder of Women in Data & Human-Machine Collaboration Institute) and Andreas Welsch discuss how leaders can empower women to thrive in Data & AI. Sadie shares her story in data and data science and provides valuable tips for listeners looking to increase overall diversity on their teams in an age where AI needs to serve us all.
Key topics:
- Understand the tech industry’s gender gap
- Identify inhibitors for women’s career growth
- Learn how leaders can support women in data & AI
- Foster collaboration across diverse teams and backgrounds
Listen to the full episode to hear how you can:
- Shape organizational culture and lead by example
- Understand how in-group and out-group behavior influences engagement
- Speak up even if you are in a minority group
- Provide space and opportunities for female team members
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https://youtu.be/ffKFsRwEfIk
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Anthony Alcaraz (Chief Product Officer) and Andreas Welsch discuss supercharging your Retrieval Augmented Generation (RAG) application with a knowledge graph. Anthony shares his experience expanding Generative AI applications and large language models and provides valuable tips for listeners looking to get even more relevant results from their AI applications.
Key topics:
- Identify shortcomings of Retrieval Augmented Generation (RAG)
- Describe a knowledge graph and its purpose
- Learn how to build a knowledge graph
- Clarify when to use a knowledge graph
Listen to the full episode to hear how you can:
- Provide context between data sources with a knowledge graph
- Gather and prepare qualitative data to build your knowledge graph and AI model on
- Treat knowledge graphs as one concept among others in your AI strategy
- Start with the business problem and identify the best data sources and methods for solving it
Watch this episode on YouTube:
https://youtu.be/OSj08YBdQrg
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Carly Taylor (Director of Franchise Security Strategy, Activision/ Call of Duty) and Andreas Welsch discuss strengthening your security against Generative AI hackers. Carly shares examples of Generative AI's use to aid black hat and white hackers in their cat-and-mouse game. Carly provides valuable insights for listeners looking to learn about ways Generative AI is already used today beyond social engineering, phishing, and other cybersecurity threads.
Key topics:
- Examine the evolving uses of Generative AI and its implications on cybersecurity
- Identify black hat activities in AI that leaders should know
- Discuss white hat techniques in using Generative AI
- Learn how to protect your products and users from AI hackers
Listen to the full episode to hear how you can:
- Raise awareness for AI-powered cybersecurity threats among employees
- Adapt if humans are the weakest link in the security chain
- Use Generative AI to detect cybersecurity threats and gather intelligence
- Adopt security tools with built-in AI vs. build them from scratch
Watch this episode on YouTube:
https://youtu.be/hVV24bCGWQE
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, T. Scott Clendaniel (VP & AI Instructor, Analytics-Edge) and Andreas Welsch discuss improving your user experience with Generative AI. Scott shares his perspective on making business applications more accessible with AI and provides valuable tips for listeners looking to get more business value from AI projects.
Key topics:
- Democratize AI with user-friendly access
- Explore LLMs' unexpected UX benefits for business users
- Distinguish LLMs from past UX trends
- Guide AI leaders on integrating LLMs into applications effectively
Listen to the full episode to hear how you can:
- Democratize access to LLM-driven insights in natural language
- Ask Generative tools for help to improve prompts
- View LLMs as a new user interface
- Use Generative AI to understand user behavior and preferences
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https://youtu.be/5HgkawZdihU
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Bill Schmarzo (Professor & Author, Dean of Big Data) and Andreas Welsch discuss preparing your business team for Generative AI. Bill shares his learnings from teaching business teams about data literacy and provides valuable insight) for listeners looking to help their stakeholders develop a better understanding of Data, Artificial Intelligence, and how to best use them in a business context.
Key topics:
- Discuss the importance of AI and data literacy
- Explore ways leaders can empower their teams in AI and data
- Identify key partners for AI Centers of Excellence in promoting AI literacy
- Learn a leadership trick to boost organizational AI literacy
Listen to the full episode to hear how you can:
- Understand how your data is being used to personalize information
- Demand transparency about AI-driven decisions
- Apply a Socratic mindset when using Generative AI and ask questions
Watch this episode on YouTube:
https://youtu.be/ghVxy23zzpM
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Conor Grennan (Dean of Students, MBA Program & Head of Generative AI, NYU Stern School of Business) and Andreas Welsch discuss how you can stay on top of Generative AI industry news. Conor shares his insights on learning about Generative AI and provides valuable advice for listeners looking to focus on the key AI news for their job and tasks.
Key topics:
- Decide if businesses need a Head of Generative AI role
- Discuss strategies for upskilling students and professionals in AI
- Distinguish between must-know AI news and seemingly important updates
- Receive tips to stay informed on AI developments
Listen to the full episode to hear how you can:
- Separate relevant AI news for your role and task from irrelevant noise
- Approach Generative AI as a conversational experience vs. a technology tool
- Stay ahead with training on ChatGPT, etc.
- Find a sparring partner to learn with about Generative AI and how to use it best
Watch this episode on YouTube:
https://youtu.be/4cRDqsmC19o
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Mark Minevich (Chief Digital AI Strategist & Author) and Andreas Welsch discuss creating a sustainable future with AI. Mark shares his perspective on using artificial intelligence that serves our planet and provides valuable advice for listeners looking to align their AI initiatives with sustainable, ethical AI objectives.
Key topics:
- Address AI's longevity and opportunities in a world powered by AI
- Analyze sustainability in high-resource Generative AI environments
- Evaluate ethical and sustainable AI use and its measurable impacts
- Implement ethical AI in businesses beyond panels and policies
Listen to the full episode to hear how you can:
- Focus on sustainability beyond pure productivity gains on an individual business level
- Understand how your business’ AI projects contribute to achieving sustainable goals
- Ensure AI projects align with ethics and privacy guidelines
- Balance Generative AI driven innovation with power consumption
Watch this episode on YouTube:
https://youtu.be/R8rxQN60eGM
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Andrea Isoni (Chief AI Officer) and Andreas Welsch discuss how you can prepare for the E.U. AI Act. Andrea shares his insights on the upcoming regulation as well as AI-related ISO certifications and provides valuable insights for listeners looking to better understand the impact of regulation on their AI products.
Key topics:
- Understand E.U. AI Act's impact and protective measures
- Prioritize AI leaders' top three essential actions
- Discover recent developments in the evolving AI Act
- Identify critical regulations, compliance efforts, and standards
Listen to the episode to hear how you can:
- Determine the risk classification of your AI model
- Assess your Generative AI cyber security exposure, potential leaks, and attacks
- Decide which kind of governance you need for your AI models based on the new ISO 42001 standard
Watch this episode on YouTube:
https://youtu.be/uRPjhONR0xU
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Daniel Faggella (Founder, Emerj Research) and Andreas Welsch discuss the big trends and predictions for Generative AI in the enterprise. Daniel shares his insights on Generative AI and provides valuable advice for listeners looking to implement AI in business this year
Key topics:
- Anticipate key trends for Generative AI in 2024
- Determine focus areas for AI leaders to prioritize AI this year
- Drive adoption of AI and Generative AI in your business
- Outlook on Generative AI over the next 3-5 years
Listen to the full episode to hear how you can:
- Understand why established vendors will lead the first wave of Generative AI
- Benefit from an increased level of AI fluency within the C-Suite for AI adoption
- Assess risk appetite vs. risk aversion within the enterprise
- Expect a significant impact of LLMs on work and the economy
Watch this episode on YouTube:
https://youtu.be/nbDSvfBClqw
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Enrico Santus (Human-AI Collaboration Leader) and Andreas Welsch discuss designing human-AI collaboration for adaptive processes. Enrico shares his experience in balancing the strengths of humans and AI for optimal results in business processes by gaining trust and sharing a long-term vision.
Key topics:
- Design processes for humans and AI working together
- Learn what makes processes adaptive
- Understand key challenges when designing systems for human-AI collaboration
- Implement principles for effective collaboration
Listen to the full episode to hear how you can:
- Leverage the strengths of humans and AI
- Define AI as a far-reaching goal vs. small projects
- Assess complexity, ambiguity, and risk for optimal use of AI
- Share long-term goals for using AI to ensure trust and avoid overreliance
Watch the full episode:
https://youtu.be/R8rxQN60eGM
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Laks Srinivasan (Founder of Institute for Return on AI) and Andreas Welsch discuss how technology leaders can help their business counterparts develop AI literacy. Laks shares his insights on working with leadership teams and provides valuable advice for listeners looking to help their leaders become more familiar with AI.
Key topics:
- Describe AI Fluency
- Identify level AI Fluency of business leaders
- Increase AI Fluency of leadership teams
Listen to the full episode to hear how you can:
- Help leaders become more comfortable with AI
- Choose tools and methods to increase AI literacy
- Customize enablement program by leader and role
Watch this episode on YouTube: https://youtu.be/7OLb0nbMUO0
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Mark Stouse (CEO, Proof Analytics) and Andreas Welsch discuss teaching your data scientists about the business. Mark shares his perspective on connecting data science & AI teams with their peers in the business and provides valuable advice for listeners looking to bridge communication gaps, manage expectations, and focus on AI-driven business outcomes.
Key topics:
- Identify the challenges AI and business teams face when working together
- Improve communication between AI and business teams
- Understand the impact when data scientists have more context about the business
- Learn how AI leaders support their team members to upskill
Listen to the full episode to hear how you can:
- Develop an understanding of the business context and connect with business leaders
- Shift from precision to pragmatism
- Deliver business value quickly
- Operationalize data science & AI quickly and adapt to the fast-paced business environment
Watch this episode on YouTube:
https://youtu.be/WE7sopcsFII
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Keith McCormick (Executive Data Scientist) and Andreas Welsch discuss the key roles to focus on when building your AI team. Keith shares his expertise on Generative AI, Artificial Intelligence, and Machine Learning and provides valuable insight) for listeners looking to support their teams in the jungle of AI terms and technologies.
Key topics:
- Understand AI teams’ limitations on prompting
- Identify the key skills AI teams need beyond prompting
- Retain data engineers and data scientists for AI projects
- Choose the best time and topic to upskill AI teams on
Listen to the full episode to hear how you can:
- Guide data scientists to lead AI projects
- Teach the most critical skill on an AI team
- Apply traditional machine learning skills for forecasting, supervised and unsupervised learning
- Understand why Generative AI does not replace forecasting
Watch this episode on YouTube:
https://youtu.be/u33luD5dx04
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Tobias Zwingmann (AI Advisor & Author) and Andreas Welsch discuss building Generative AI applications with Open Source technology. Tobias shares his examples on weighing proprietary against open source technology for large language models and provides valuable advice for listeners looking to decide whether to use commercially available LLMs or open models such as Llama 2.
Key topics:
- What types of use cases does Generative AI enable?
- When should you use off the shelf vs open source LLMs?
- What components do you need to set up, train, and use Open Source LLMs?
- What are the downsides and risks of using Open Source components?
Listen to the full episode to hear how you can:
- Understand the four categories of Generative AI use cases
- Evaluate when off the shelf is more advantageous vs open source
- Consider total cost to operate an LLM
- Determine the risk of skill shortages for cutting edge technologies
Watch this episode on YouTube:
https://youtu.be/g9TNndkfdU0
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Harpreet Sahota (Developer Relations Expert) and Andreas Welsch discuss augmenting your Generative AI model with new data. Harpreet shares his insights on going beyond the limitations of off-the-shelf Large Language Models (LLM) and provides valuable advice for listeners looking to create AI-based applications that generate tailored, traceable information.
Key topics:
- Learn about different techniques to get better results (prompting, fine-tuning, retrieval augmented generation)
- Get advice which technique to use when
- Understand the five steps for building RAG-based systems
- Find out how to improve RAG-based results
Listen to the full episode to hear how you can:
- Assess common LLM limitations such as knowledge cut-off and hallucinations
- Choose Retrieval Augmented Generation (RAG) to provide current, traceable data to your LLM
- Fine-tune a model to get tailored results based on adjusted weights and datasets
- Become aware of data requirements and chunking your data for optimal results
Watch this episode on YouTube:
https://youtu.be/pUzlhAFYyHI
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Matt Lewis (Chief AI Officer) and Andreas Welsch discuss how you can grow your Chief AI Officer (CAIO) role. Matt shares his journey on transitioning from CDAO to CIAO and provides valuable advice for listeners aspiring to grow into an AI leadership role.
Key topics:
- Why do you need a Chief AI Officer?
- What are the top focus areas of this role?
- How can you continuously learn about generative AI?
- What are CAIOs most concerned about?
Listen to the full episode to hear how you can:
- Hear what a Chief AI Officer does and why they should report to the CEO
- Understand why cross-domain skills prepare your for a CAIO role and why industry knowledge is key
- Get tips how to learn about generative AI while managing your time
- Frame AI projects in the context of augmented intelligence
Watch this episode on YouTube:
https://youtu.beTecRJLoiZxI
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Steve Wilson (ProjectLeader, OWASP Foundation)and Andreas Welsch discuss securing your Large Language Model against common vulnerabilities. Steve shares his findings from co-authoring the OWASP Top 10 on LLMs report and provides valuable advice for listeners looking to improve the security of their Generative AI enabled applications.
Key topics:
- What are the most important vulnerabilities of LLMs?
- What are developers underestimating about these security risks?
- How will these vulnerabilities be exploited?
- How can AI leaders and developers mitigate or prevent it?
Listen to the full episode and hear how you can:
- Balance innovation and security risks of new technologies like generative AI
- Understand the difference between direct and indirect prompt injections
- Prevent over-assigning agency to LLMs
- Establish trust boundaries and treat LLM-generated output as untrusted
Watch this episode on YouTube:
https://youtu.be/TpIowNnAcj4
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Ted Shelton (Management Consulting Leader, AI & Automation) and Andreas Welsch discuss keeping your business relevant with generative AI. Ted shares his insights on working C-Suite executives to incorporate AI in their business strategy and provides valuable advice for listeners looking to learn connect AI projects with corporate strategy.
Key topics:
- What’s top of mind for Executives on generative AI?
- How does strategy decay drive AI discussions?
- Which industries and business functions are ripe for generative AI adoption?
Listen to the full episode to hear how you can:
- Embrace generative AI technology and build an AI culture in your organization
- Find ways to educate and support your leadership team
-Identify several moonshot projects that will change how you do business
Watch this episode on YouTube:
https://youtu.be/V3EwRCC3cjs
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*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter
In this episode, Eric Fraser (Culture Change Executive) and Andreas Welsch discuss automating your job with generative AI. Eric shares the key learnings from his experiment leveraging generative AI and machine learning to automate his sales management role and provides valuable insights for listeners looking to increase their own efficiency in knowledge work.
Key topics:
- Learn how far sales management roles can be automated with AI
- Find out what role generative AI plays in automation
- Hear how leaders can embrace AI-driven change among their workforce
Listen to the full episode to hear how you can:
- Be ambitious to test which aspects of your role you can automate
- Determine the best technology for the task (generative AI, machine learning, or others)
- Keep the impact on others around you and their concerns in mind
Watch this episode on YouTube:
https://youtu.be/2EnuEXuWS1c
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Supreet Kaur (AI Product Evangelist) and Andreas Welsch discuss upskilling your product teams on generative AI. Supreet shares learnings on continuously expanding her skillset as a product manager and provides valuable advice for listeners looking to incorporate generative AI into their product management skillset.
Key topics:
- Learn about generative AI from industry experts and events
- Identify high value use cases for AI ahead of time
- Build more inclusive AI products with diverse teams
Listen to the full episode to hear how you can:
- Use generative AI to automate mundane product management tasks (e.g. meeting minutes, product descriptions, Jira tickets)
- Build more diverse teams for more diverse AI products
- Sign up for generative AI trainings and certifications
Watch this episode on YouTube:
https://youtu.be/8bTUK1YwxdU
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Scott Taylor (The Data Whisperer, MetaMeta Consulting) and Andreas Welsch discuss getting funding for your AI projects. Scott Taylor shares his perspective on structuring a compelling story and provides valuable advice for listeners looking to get their senior leadership's attention on pursuing AI projects.
Key topics:
- Use storytelling to get your senior leadership’s attention and support
- Prevent common mistakes technologists make and focus on the outcome instead of the process
- Structure your AI pitch based on the AIDA (Attention, Interest, Desire, Action) framework
Listen to the full episode to hear how you can:
- Start with the end result to drive an action
- Practice your AI pitch and learn to recognize a bad story
- Shift to execution when you’ve accomplished your goal
Watch this episode on YouTube:
https://youtu.be/CeUWw3mOZRI
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Reid Blackman (Author of “Ethical Machines”) and Andreas Welsch discuss how leaders can put their AI ethics guidelines into practice. Reid shares his perspective on going beyond just AI policies and provides valuable advice for listeners looking to incorporate AI ethics from start to finish.
Key topics:
- Lead with AI Ethics
- Asses bias & explainability
- Define & operationalize your AI Ethics policy
Listen to the full episode to hear how you can:
- Articulate the action guardrails
- Implement your AI ethics policy slowly
- Specify success metrics
Watch this episode on YouTube: https://youtu.be/XpMnVPyA0JQ
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Abi Aryan (Machine Learning & LLMOps Expert) and Andreas Welsch discuss fine-tuning & operating your generative AI models. Abi Aryan shares her insights on using large language models (LLMs) and provides valuable advice for listeners looking to incorporate this new technology in their applications.
Key topics:
- Get more specific results from a large language model (LLM)
- Improve model performance over time
- When to pursue fine-tuning vs. prompting
Listen to the full episode to hear how you can:
- Evaluate the pros and cons of fine-tuning vs. prompting
- Consider the operational cost of using generative AI
- Tailor model evaluation based on the use case
Watch this episode on YouTube:
https://youtu.be/8km8_fK-enY
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Aurelie Pols (AI Data Privacy Expert & Advisor) and Andreas Welsch discuss how leaders can shape their business’ accountability for generative AI. Aurelie Pols shares her perspective on building trust and accountability and provides valuable advice for listeners looking to navigate the challenging landscape of data privacy and regulation.
Key topics:
- Understand how businesses need to earn their customers’ trust
- Learn what AI leaders need to consider
- Learn who in the AI ecosystem is accountable
Listen to the full episode to hear how you can:
- Assess AI systems to apply risk frameworks
- Protect vulnerable groups of the population from AI harm
- Loop in your AI ecosystem to increase accountability
Watch this episode on YouTube:
https://youtu.be/vzNg8xCzTWc
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Ravit Dotan (Director The Collaborative AI Responsibility Lab at University of Pittsburgh) and Andreas Welsch discuss how you can define guardrails for generative AI in your business. Ravit shares her insights on AI ethics and regulation and provides valuable advice for listeners looking to learn about the emerging field of generative AI.
Key topics:
- Describe the challenges of generative AI
- Understand differences compared to traditional AI systems
- Guide your teams to use generative AI responsibly
Listen to the full episode to hear how you can:
- Tell apart design choices from actual AI capabilities (anthropomorphism)
- Prepare for regulation which extends and amends existing laws
- Mitigate risk through a company policy for generative AI use
Watch this episode on YouTube:
https://www.youtu.be/1b8QbH_hF40
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Rod Schatz (Data & Digital Transformation Executive) and Andreas Welsch discuss how leaders can prepare their business for AI-generated disinformation. Rod shares his perspective on the risks of generative AI for disinformation and provides valuable advice for listeners looking to raise awareness within their organization.
Key topics:
- Determine how generative AI will contribute to digital disinformation
- Develop strategic responses in a changing digital landscape
- Establish a robust disinformation resilience framework
Listen to the full episode to hear how you can:
- Build AI literacy within your organization
- Balance corporate goals and societal responsibility
- Create an AI safety council and preparedness plan
Watch this episode on YouTube:
https://youtu.be/HG4aIN3_GOM
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Brian Evergreen (Founder & CEO, The Profitable Good Company & Author “Autonomous Transformation”) and Andreas Welsch discuss creating a human future with AI. Brian shares examples on human-machine collaboration and provides valuable tips for listeners looking to drive AI initiatives while keeping the impact on people in mind.
Key topics:
- Understand does AI drive autonomous transformation
- Assess your options from reformation to transformation
- Prepare for collaboration between humans and machines
Listen to the full episode to hear how you can:
- Focus on strategy & culture before technology
- Classify your project from digital reformation to autonomous transformation
- Manage organizations as social systems
Watch this episode on YouTube:
https://youtu.be/3ArPJEGyyfg
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Ramsay Brown (Founder & CEO, Mission Control) and Andreas Welsch discuss how leaders can trust generative AI in their business. Ramsay shares his perspective on responsible AI practices and provides valuable insights for listeners looking to implement AI.
Key topics:
- Hear the key questions for responsible AI
- Address common AI trust challenges
- Learn about the future of work with generative AI
Listen to the full episode to hear how you can:
- Align AI for ESG goals
- Understand responsible AI greenwashing
- Create better policies for AI use
- Prepare for the future of work with AI
- Take action to build trust in generative AI
Watch this episode on YouTube:
https://youtu.be/AOyITl4Khvg
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Maya Mikhailov (Founder & AI Leader) and Andreas Welsch discuss how AI leaders can set expectations with their leadership. Maya shares examples of stakeholder management and provides valuable advice for listeners looking to balance excitement for AI with the due diligence needed for successful AI projects.
Key topics:
- Manage your senior leadership’s expectations
- Make AI tangible for their leaders
- Focus on generative AI
Listen to the full episode to hear how you can:
- Be realistic about what can be accomplished
- Educate about different types of AI
- View AI projects as a journey
Watch this episode on YouTube:
https://youtu.be/_9XrCpC1zFE
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Amit Arora (VP - Head of Product, Cyber Risk Solutions) and Andreas Welsch discuss how AI helps reinsurance companies assess cyber risk potential. Amit shares his story about teaching AI how to deal with previously unseen situations and provides valuable insights for listeners looking to learn about concrete AI scenarios in the industry.
Key topics:
- Learn how AI helps identify previously unknown risks
- See how cyber risk insurance can be calculated more accurately in times of uncertainty
- Understand who benefits from AI-based cyber risk assessments
Listen to the full episode to hear how you can:
- Deal with uncertainty of emerging cyber threats
- Improve the customer journey for risk assessments
- Understand how AI helps enterprises/ policyholders, insurances/ brokers, underwriters
Watch this episode on YouTube:
https://youtu.be/--7OyAD_79U
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Tom Davenport (Professor & Author) and Andreas Welsch discuss how companies can transform their business with AI. Tom shares his perspective on creating new business modes based on AI and provides valuable insights for listeners looking to set up their company for successful AI projects.
Key topics:
- Find out how AI drives change
- Achieve business outcomes from AI
- Transfer experience to Generative AI
Listen to the full episode to hear how you can:
- Draw parallels from examples
- Get stakeholder buy-in
- Use generative AI for enterprise knowledge management
Watch this episode on YouTube:
https://youtu.be/IZktwsbfO0E
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Mary Purk (Executive Director, AI & Analytics Center at Wharton School of Business, University of Pennsylvania) and Andreas Welsch discuss how AI leaders can help scale AI adoption across their company. Mary shares her learnings on AI adoption in business and provides valuable insights for listeners looking to benefit from both, deep academic and practical experience.
Key topics:
- Learn how to better run your AI programs
- Drive adoption through effective collaboration
- Focus on cross-collaboration for scalable AI adoption
Listen to the full episode to hear how you can:
- Explore and embrace ChatGPT
- Encourage your team to use AI
- Improve data stewardship
Watch this episode on YouTube: https://youtu.be/YmGLgtvEAhA
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Alexander Leonida (Founder SilkFlo) and Andreas Welsch discuss why taking a multi-vendor approach for process automation is so popular. Alexander shares his perspective on multi-vendor strategies and provides valuable tips for listeners looking to provide maximum value to their business stakeholders.
Key topics:
- Understand multi- vs. single-vendor strategies
- Determine fit for your organization
- Learn about citizen development trends
Listen to the full episode to hear how you can:
- Gain leverage with suppliers
- Adapt multi-vendor approach to company culture
- Manage shadow IT via governance model
Watch this episode on YouTube:
https://youtube.com/live/TH4tqx7XeP0
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Shail Khiyara (Founder VOCAL Council), Frank Casale (Founder The Institute for RPA & AI), Ian Barkin (Entrepreneur & Investor), and Andreas Welsch discuss the trends that will shape AI and intelligent automation in 2023. Frank shares how technologies adjacent to RPA deliver value. Shail points to multi-vendor environments that have historically grown. And Ian emphasizes the need to stay relevant in today's market. They provide valuable advice for listeners looking to maximize their investment in intelligent automation and who would like to understand how generative AI might shape the way we work already in the near future.
Key topics:
- What’s next for established RPA organizations
- How automation orchestration optimizes your operations
- Generative AI’s impact on the future of work
Listen to the full episode to hear how you can:
- Expect to see a tipping point from automating to emulating knowledge work
- Focus on people and culture for success
- Stay current on technologies and trends to future-proof your career
Watch this episode on YouTube: https://youtu.be/ll7XgaA_iJI
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Vijay Yadav (Director Quantitative Sciences - Digital, Data & Analytics) and Andreas Welsch discuss how allies and so-called pathfinders help navigate the organization and win support for Artificial Intelligence (AI) projects. Vijay shares his approach for identifying project supporters and provides valuable insights for listeners looking to remove common roadblocks in their AI program.
Key topics:
- Understand the most-common challenge in AI projects
- Focus beyond technology for long-term success
- Identify pathfinders remove roadblocks
Listen to the full episode to hear how you can:
- Determine key project stakeholders
- Deliver business outcomes
- Shape AI mindset among business stakeholders
Watch this episode on YouTube: https://youtu.be/d_iIXiUtyXI
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Vin Vashishta (AI Strategy Leader) and Andreas Welsch discuss how you can define an AI strategy and put it into action. Vin shares examples on business and technology goals, and provides valuable insights for listeners looking to define their own AI strategy.
Key topics:
- Define the key aspects of an AI strategy
- Measure your AI strategy's effectiveness
- Describe which business aspects are influenced by an AI strategy
Listen to the full episode to hear how you can:
- Make your AI strategy actionable
- Lead with business impact over technology
- Create enormous amounts of value for the business
Watch this episode on YouTube: https://youtu.be/EdRJ_gh53N0
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Brian Pearce (Senior AI CoE Leader) and Andreas Welsch discuss leading an AI CoE to success. Brian shares shares his journey on building and leading a CoE, and provides valuable advice for listeners looking to do the same.
Key topics:
- Understand the mandate of an AI CoE
- Learn when AI CoE’s mission is done
- Hear why a product mindset is key for AI
Listen to the full episode to hear how you can:
- Focus on delivering business value
- Look beyond just building models
- Engage with stakeholders as users of your product
Watch this episode on YouTube: https://youtu.be/_V-MWGawqks
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Maxim Ioffe (Intelligent Automation Leader, WESCO Distribution) and Andreas Welsch discuss why a pragmatic approach to process automation is critical. Maxim shares examples of successful automation projects and provides valuable advice for listeners looking to achieve results from their automation program quickly.
Key topics:
- Take a pragmatic approach to AI & automation
- Build and maintain an idea pipeline
- Succeed in real-life projects
Listen to the full episode to hear how you can:
- Build a culture and awareness for automation
- Develop a use case pipeline with your business stakeholders
- Create momentum and cycle of ideation and implementation
Watch this episode on YouTube: https://youtu.be/GUWVTD6ny1Q
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Chris Johannessen (Editor of the Journal of AI, Robotics and Workplace Automation) and Andreas Welsch discuss what to consider when setting up your Artificial Intelligence (AI) & automation Center of Excellence (CoE). Chris shares his career insights on creating CoEs and provides valuable advice for listeners considering whether to establish a CoE in their business.
Key topics:
- Determine if your business needs a CoE
- Consider organizational models and components
- Understand success criteria for CoEs
Listen to the full episode to hear how you can:
- Assess the organization’s maturity for a CoE model
- Determine your mission, vision, and roadmap
- Establish a digital presence to showcase your CoE
Watch this episode on YouTube: https://youtu.be/dWxBEivAQTI
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Brandon Cosley (Director Artificial Intelligence) and Andreas Welsch discuss how business stakeholders can become more familiar with data science & Artificial Intelligence (AI). Brandon shares expertise on increasing AI literacy in business teams and provides valuable insights for listeners looking to get value from AI projects faster.
Key topics:
- Upskill your team on data science
- Ask the right data science questions
- Make work easier for the data science manager
Listen to the full episode to hear how you can:
- Understand the AI product lifecycle of data science
- Maintain constant communication with domain experts
- Find solutions through experimentation and alignment
Watch this episode on YouTube: https://youtu.be/WIDlcDWKi6s
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Johan Steyn (Professor & Author) and Andreas Welsch discuss taking a common sense approach for Artificial Intelligence (AI). Johan shares his perspective on successful AI projects and provides valuable insights for listeners looking to learn from dozens of customer projects.
Key topics:
- Avoid common mistakes when investing in AI
- Get genuine buy-in from business stakeholders
- Apply common learnings in your AI projects
Listen to the full episode to hear how you can:
- Start with a people-first approach to AI
- Balance profitability with people engagement
- Assess if AI is the best solution
Watch this episode on YouTube: https://youtu.be/inZehIPVS_8
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Asheesh Biyala (Director, Intelligent Automation) and Andreas Welsch discuss the key to building your automation culture. Asheesh shares his success story of successfully building an automation culture at multiple companies and provides valuable tips for listeners looking to accomplish the same.
Key topics:
- Create an automation culture
- Tailor your program to your company
- Develop use cases faster with a a strong automation culture
Listen to the full episode to hear how you can:
- Align your culture to your company’s vision and mission
- Ensure continued support from IT and business leadership
- Achieve early wins with champions
Watch this episode on YouTube: https://youtu.be/JoYbWhnNPWc
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Sara Hanks (Senior Director Program Management) and Andreas Welsch discuss the top 3 learnings for new AI leaders. Sara shares learnings on becoming an AI program lead and provides valuable advice for listeners looking to move into a similar role in their business.
Key topics:
- Learn what to expect as an AI lead
- Find out the top challenges in that role
- Hear how to apply it to a new AI project
Listen to the full episode to hear how you can:
- Identify early adopters and keep them engaged
- Think like a marketer and identify message for your stakeholders
- Learn to prioritize which AI use cases to pursue
Watch this episode on YouTube: https://youtu.be/Z6J69rXGmmQ
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Ariana Smetana (Digital Transformation Expert), Noelle Silver (AI Ethics & Education Leader), Tolani Jaiye-Tikolo (Intelligent Automation Expert), and Andreas Welsch discuss building trust in Artificial Intelligence (AI) & automation. Ariana, Noelle, and Tolani share key insights on why keeping humans in the loop is a critical factor for trust in AI and provide valuable examples for listeners looking to introduce AI in their business.
Key topics:
- Start transformation project right
- Build trust in AI with one simple action
- Create automation balance with humans ‘in the loop’
Listen to the full episode to hear how you can:
- Look at business value and business objectives first
- Deliver on your automation promise to build trust
- Keep a human in the loop to improve your data
Watch this episode on YouTube: https://youtu.be/dHWICJ7l878
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Somil Gupta (Founder Algorithmic Scale), Kieran Gilmurray (Author & Digital Transformation Expert), and Andreas Welsch discuss how business leaders can win with AI. Somil and Kieran share their insights on what it means to digitally transform an organization and provide valuable tips for listeners looking to lead AI programs to success.
Key topics:
- Lead digital transformation programs
- Monetize AI products & insights
- Incorporate ethics from the start
Listen to the full episode to hear how you can:
- Take a holistic view across people, place, and platform
- Increase revenue from AI when approached as a product
- Make AI ethics a part of transformation and monetization projects
Watch this episode on YouTube: https://youtu.be/VculKvDros8
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Ralph Aboujaoude Diaz (Practice Leader, HFS Research) and Andreas Welsch discuss how to manage risks from process automation. Ralph shares his insights on adequately assessing risks from process automation and provides valuable advice for listeners looking to balance process efficiency and business risk.
Key topics:
- Understand key risks in AI & automation projects
- Use a framework to categorize automation risks
- Evaluate new automation ideas based on risk
Listen to the full episode to hear how you can:
- Determine risks based upon tasks (automation, data extraction, etc.)
- Create a recovery plan in case of automation failure
- Consider where to keep humans in the loop
Watch this episode on YouTube: https://youtu.be/f_KNjHGXQis
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Emmanuel Lai (Automation Strategist) and Andreas Welsch discuss running the first Artificial Intelligence (AI) project. Emmanuel shares his story how he has increased savings by adding AI to an existing automation project and provides valuable tips for listeners looking to leverage AI.
Key topics:
- Focus on your first AI use case
- Detect key surprises and learnings
- Measure project success
Listen to the full episode to hear how you can:
- Follow the “Three Es” of financial impact
- Done PoCs are better than perfect ones
- Approach Digital Transformation with the right mindset
Watch this episode on YouTube: https://youtu.be/9Bs65Xxknwg
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Samuel Best (VP Business Automation, GM Financial) and Andreas Welsch discuss branching out from Robotic Process Automation (RPA) to Artificial Intelligence (AI). Samuel shares his journey towards collaborating between RPA and AI Centers of Excellence (CoE) and provides valuable tips for listeners looking to scale their AI & automation programs.
Key topics:
- Choose your first AI use case
- Prepare for AI with your RPA program
- Augment automation teams for AI projects
Listen to the full episode to hear how you can:
- Learn about automating 9,000,000 transactions with RPA in 85 processes
- Build upon each technology’s strength and adapt your approach
- Collaborate between CoEs (RPA + AI) for maximum impact
Watch this episode on YouTube: https://youtu.be/N_ApLxCUHzY
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Doug Shannon (Intelligent Automation Leader) and Andreas Welsch discuss building a roadmap from Robotic Process Automation (RPA) to Artificial Intelligence (AI). Doug shares his experience of scaling automation programs and provides valuable insights for listeners looking to extend their RPA and process automation program to AI.
Key topics:
- Develop a roadmap from automation to AI
- Build an automation culture first
- Learn about expanding into AI
Listen to the full episode to hear how you can:
- Start with process automation before doing AI
- Focus on the people first to create advocates for change
- Iterate to improve over time
Watch this episode on YouTube: https://youtu.be/WsmK9PL7UHo
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast
In this episode, Olivier Gomez (CEO & Co-Founder of Intelligent Automation Corp.) and Andreas Welsch discuss the top trends in intelligent automation. Olivier shares his insights on the shift towards outcome-based contracts and provides valuable advice for listeners looking to reduce the risk of their automation program.
Key topics:
- New operating models for intelligent automation
- Re-balancing project risk
- The next trends for AI & automation
Listen to the full episode to hear how you can:
- Re-balance project risks with outcome-based contracts
- Establish an equal partnership between your service provider and your organization
- Strengthen the collaboration between CIO and CFO organizations
Watch this episode on YouTube: https://youtu.be/LbweeZB44jA
*** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.
More details:https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcast