What will be the adoption patterns for AI within the Enterprise? Will it follow the early days of Cloud Computing, or will new and different patterns emerge?

SHOW: 810

SHOW TRANSCRIPT: Cloudcast #810

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

WHAT WERE THE PATTERNS FOR ENTERPRISE IT AND CLOUD?

• Shadow IT
• High-scalability or Short-term Projects (and experimentation)
• Migration via “Cloud First” initiatives
• Difficult stuff came last

WHAT’S DIFFERENT ABOUT AI vs. CLOUD?

• CPU to CPU was easier to calculate vs. CPU + GPU
• Have we learned any lessons about how to value people's productivity?
• Does Enterprise AI need a Crawl, Walk, Run scenario? Do they need to be sequential and linked?
• Are Enterprise AI use-cases well defined?
• How long is the Enterprise willing to fail at experiments?
• What’s the Enterprise tolerance for GenAI “flaws” (e.g. hallucinations, lack of citations, etc.)
• Will GenAI rejuvenate Predictive AI projects in the Enterprise?

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter: @cloudcastpod
• Instagram: @cloudcastpod
• TikTok: @cloudcastpod