The AI & IOT Chronicles [Eng/Esp] by James & Co.: Recent Episodes
James Caton (JamesCo.cc)
Hear from industry colleagues, coworkers, competitors, and confidants on their AI and IOT successes.
Escuche a sus colegas de la industria, compañeros de trabajo, competidores y confidentes sobre sus éxitos en IA e IOT.
Inquiries at https://www.jamesco.cc/
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner and do not represent those of people, institutions or organizations that the owner may or may not be associated with professionally.
Host James Caton, and Deepak Khosla at LTIMindtree, discuss how the UN High Commission for Refugees uses Azure OpenAI to accelerate on-the-ground crisis response around the world, bringing hope and relief to the most vulnerable in their greatest time of need.
This episode covers:
- How implementing Azure AI in humanitarian organizations can have a significant impact on response times and efficiency.
- High-quality data is crucial for the success of AI projects.
- An agile approach allows for experimentation and scalability.
- Effective search capabilities and prompt engineering are key to obtaining accurate and relevant information.
- Change management and continuous monitoring are essential for successful implementation and user adoption.
Learn More:
- About Microsoft AI
- About LTIMindtree
More on these leaders:
- James Caton
- Deepak Khosla
GenerativeAI #Microsoft #Azure #AzureOpenAI #Chatbot
Join James Caton in an insightful conversation with Swapnil Belhe, the Head of Generative AI Center of Excellence at Wipro, as they delve into the transformative influence of generative AI on the airport experience.
- Achieving up to 40% gains w/ Azure OpenAI Service.
- Improving the customer experience, and airport revenues.
- Tips for data management, reducing AI hallucinations.
- The importance of secure, responsible AI design.
Learn More:
- About Microsoft AI
- About Wipro
More on these leaders:
- James Caton
- Swapnil Belhe
James chats with Mario López Baratas, VP & Chief Innovation Officer at Bravent about the power of Azure OpenAI Service to transform industry.
Tune in to learn:
- How Azure OpenAI Service is enabled for an on-premises environment, with confidential customer data.
- The impact of generative AI in a multi-lingual environment.
- How Bravent accelerated data insights for plant-floor technical and non-technical users alike.
Learn more:
- About Microsoft AI
- Contact Bravent
Follow these leaders on LinkedIn:
James Caton
Mario López Baratas
James Caton chats with Anya FitzGibbon - Head of Data Governance and Delivery at Endeavour Energy. Together, they discuss the ideation, adoption, and company-wide embrace of their Azure OpenAI Service solution.
Listen now to learn:
- How TCS helped Endeavour Energy build an internal solution leveraging their own data with Azure OpenAI Service.
- The value of a persona-based approach when deploying Azure OpenAI Service.
- How Endeavour Energy is adapting their internal culture to embrace generative AI.
Learn more:
- TCS and Microsoft Cloud
- Partner Innovation Experience
Follow these leaders on LinkedIn:
- James Caton: https://www.linkedin.com/in/jmcaton/
- Anya FitzGibbon: https://www.linkedin.com/in/anyafitzgibbon/
- Girish Phadke: https://www.linkedin.com/in/girish-phadke-ab25034/
Dave Bartlett, CTO of SpokeSafety, talks to us about how the miniaturization and repackaging of Cellular Vehicle-to-Everything (C-V2X) allows SpokeSafety to make vehicles and other mobility devices such has bikes, scooter, skateboards, and one-wheels visible to each other, increasing road safety for everyone, even the most vulnerable. To understand the SpokeSafety and Audi partnership, please go to https://www.spokesafety.com/news.
Dave also talks about how innovation has evolved, from his time as CTO at IBM, GE, and Panasonic.
I encourage you to connect with Dave on LinkedIn at https://www.linkedin.com/in/davidbbartlett/ and on Twitter at https://twitter.com/davbart.
Catch the video of this episode at https://youtu.be/q51RQaKL-oI.
You can leave questions or comments on the podcast at JamesCo.cc or connect with me at https://www.linkedin.com/in/jmcaton/
Dr. Brian Green joins us from Santa Clara University, a private Jesuit (Catholic) University in California. Dr. Green is the Director for Technology Ethics at the Markkula Center for Applied Ethics, the largest center for applied ethics in the US. He works closely with many Silicon Valley and Fortune 500 companies to help them think thru the ethical implications of technology advancements. He is a co-chair of the Responsible Use of Technology group at the World Economic Forum and is a member of the Safety-Critical AI expert group at the Partnership on Artificial Intelligence to Benefit People and Society. He also helps to convene several academic discussion groups on AI and human nature involving the Vatican’s Pontifical Council for Culture.
This is a follow-on discussion to Episode 6 (Kosher Autonomous Cars), where we discussed how a Jewish ethical framework would approach some of the life-or-death decisions that artificial intelligence agents are now making on a daily basis.
I encourage you to connect with Dr Green at https://www.scu.edu/ethics/about-the-center/people/brian-green/ or on LinkedIn at https://www.linkedin.com/in/brian-green-896a3b39/.
To see the interview on Youtube, go to https://youtu.be/Z7YX9vy-mX4.
To leave questions or comments, or to ask about being a guest, reach me on my contact page at https://www.jamesco.cc.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Hear the story how the GPU evolved from a lowly graphics chip into the go-to chip for robust AI and ML workloads. Dr. Mark Moyou, Sr Data Scientist at NVIDIA explains the history of the GPU, why it is different from the more common CPU, and how to decide when to use the GPU in an AI or IOT project.
Mark also walks us through his personal path from the Caribbean to a PhD in the US: how his Chemical Engineering degree helps him think differently about his data science work, how graduate school is like the supreme court, and how hustling is key to success (even when you have a "Dr." in front of your name).
Mark is also host of the Caribbean Data Science Podcast! I encourage you to catch it @ https://www.buzzsprout.com/1824487
You can connect with Mark on LinkedIn at https://www.linkedin.com/in/markmoyou/
To leave questions or comments, or to ask about being a guest, reach me on my contact page at https://www.jamesco.cc.
What happens when a city experiences a 40% increases in population due to man-made or natural disasters? This happened in Beirut during the Syrian civil war. The World Bank charged Dr Ali Termos from the American University in Bulgaria to model the impact to housing prices, housing construction, and other city services due to massive influx of refugees. Dr. Termo's paper provides insights into how city administrators should react to man-made or natural events that disrupt large populations. In the podast he discusses his innovative use of Agent-Based Modeling, and also how he used IOT information to address gaps data due to lack of current census and other economic data in the region.
You can read his paper at https://research.tudelft.nl/en/publications/agent-based-simulation-of-west-asian-urban-dynamics-impact-of-ref.
I encourage you to connect with him at https://www.linkedin.com/in/ali-termos-94b109a/?originalSubdomain=bg.
You can leave questions or comments on the contact page at https://www.jamesco.cc.
Einar Halvorsen and Peter Lundqvist, SAS Hackathon Program Managers, breakdown how to form a winning hackathon team, given their experience participating in and managing SAS Hackathons in the past.
How should you think about selecting a use case? What kind of skills and expertise should you pull into the team? (pro-tip - you'll need more than technical skills).
Register now at https://www.sas.com/sas/events/hackathon.html.
Connect with Peter at https://www.linkedin.com/in/petergothelundqvist/, and Einar at https://www.linkedin.com/in/einar-halvorsen-0652a21/.
Peter Lundqvist, SAS hackathon program manager, breaks down the SAS Global Hackathon, a unique opportunity to use SAS leading data science tools and mentoring to drive your innovation project for 2022.
- Form your team, choose an interesting use case, collect the data
- Register your team and get structured mentoring and enablement on a digital learning board
- Hack the data in the month of March, with mentoring from SAS experts
- Tell your story to the jury in a pitch video!
- For startups, pursue the option to partner with SAS and/or Azure to take your solution to market.
Register now at https://www.sas.com/sas/events/hackathon.html.
Connect with Peter at https://www.linkedin.com/in/petergothelundqvist/.
Einar Halvorsen, hackathon program manager, breaks down the SAS/Azure Global Hackathon: 1- provides leading edge SAS data science tools, Azure cloud, and mentoring 2- an innovation engine for data centric organizations seeking to tackle critical use cases with analytics. 3. designed for SAS and open source experts to explore the newest data science tools from SAS. 4. in 2021, 66pct of teams delivered viable prototypes. 5. typical post hackathon activities? harden MVPs for production; partner with SAS/Azure to commercialize.
Register now at https://www.sas.com/sas/events/hackathon.html. Connect with Einar at https://www.linkedin.com/in/einar-halvorsen-0652a21
Jason Piippo, Direct of Global Business Development at Telefonica, join us to discuss Private LTE. Many of us have heard the term, but we don't know what it means. So what is Private LTE exactly? We also know IOT devices need connectivity to transmit data - sometimes it's LoRA, or WiFI, Bluetooth, or even 4G. But when should organizations consider Private LTE? Jason discusses the benfits of Private LTE, and when you should consider it.
I enourage you to connect with Jason Piippo at https://www.linkedin.com/in/jason-piippo-9023b8/.
Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/19/
Or watch at on Youtube at https://youtu.be/yLYLHVkkTvY
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Nick Schmidt, CEO of Solas.ai, introduces his new startup dedicated to helping organizations minimize bias in the AI they use to make critical business decisions. In this episode, Nick talks about how his family history led to his interest in combining advanced math and social equity. And how his new company uses unique techniques to monitor your AI models for potential bias, and then tells you where you are at risk for bias (gender, socio-economic, etc), and then presents you with viable alternatives. You can learn more about his company at https://www.solas.ai. I enourage you to connect with Nick at https://www.linkedin.com/in/nickpschmidt/. Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/18 Or watch at https://youtu.be/I6LQ77g4Mnw
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
3 of the 15 innovations really impressed me in this article, and I discuss them in Episode 17 of the podcast.
1- ADP using anonymized data of 30 million employees they do payroll processing for. The anonymous organizational and socioeconomic payroll information allows enterprises to compare their organizations and gain insights: how do i compare against my peer companies on diversity?
2- Keyavi providing technology that allows data to react to people reading it: do you have permission to read this? who has read it?
3 - Spherex using AI and ML to analyze cultural queues for movies and shows, allowing companies to adjust their marketing accordingly.
Spherex appears to be similar to Unbias.co, a company we highlighted in episode 16 (https://www.jamesco.cc/16) which uses ML to analyze songs (tonality, cultural influence, beat, etc) and helps artists better market their songs to streaming services.
You can see their full list of 15 innovations here --> https://www.fastcompany.com/90696567/best-ai-data-innovations
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Mohamed Kamal, CEO of Unbias, talk to us about his personal journey from Sudan to the United States, and how politics got him interested in ways that Artificial Intelligence and Machine Learning could help under-represented communities. He describes his career in tech political consulting, and how the same AI and ML techniques then helped a healthcare company better understand health risks affecting their minority customers, and how that business has evolved into Unbias.co. Today his company makes available advanced analytics and artificial intelligence to analyze songs and predict their performance, tools that independent and under-represented artists can use to better position and market their songs. Please connect with Mohamed at https://www.linkedin.com/in/mohamedkamal1/. You can learn about his company at https://unbias.co/. He also has an excellent blog series at https://unbias.co/blog/. Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/16 Or watch at https://youtu.be/iMJjDOkCDrg
Shyam Mamidi, Founder and CEO of Natsoft Asia, joins us today to talk about blockchain. What is the blockchain (in real-life)? How does it work? What additional enabling technologies are needed for blockchain to really bring value to organizatoins?
And he walks us thru a project where the Australian government is using blockchain to monitor and track the full-cylce of hemp production: origin, sowing, flowering, harvesting thru logistics and storage.
Information on NatSoft Seed to Sale Traceability --> https://natsoft.us/hi-track.php
I encourage you to connect with Shyam at https://www.linkedin.com/in/shyam-mamidi-a841412/
Subscribe to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) or at www.JamesCo.cc/15.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Dr. Joe Nyangon is a power and energy systems engineering economist, he discusses his use of spatial analytics to analyze adoption trends for residential Energy Efficiency (EEMs) in New York state. His paper explored whether building attributes or socio-economic factors influenced adoption of energy efficiency measures.
Joe's findings can help guide policy makers as they create policy and financial incentives to encourage equitable adoption of solar and other renewables technologies. You can download his paper at https://www.tandfonline.com/doi/abs/10.1080/15567249.2020.1868619?journalCode=uesb20.
I encourage you to connect with Joe at https://www.linkedin.com/in/drjosephnyangon/.
Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/14
Or watch at https://youtu.be/qxOI3XXpfqM
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Andy Palanisamy (Director, Smart Cities at Parsons Corporation) provides his personal views on how cities evaluate innovation opportunities, new urban data paradigms, mobility, and his path from India thru Harvard and into Smart Cities.
I encourage you to connect with Andy at https://www.linkedin.com/in/transportgooru/.
Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/12
Or watch at https://youtu.be/WhzZkM2ZUfQ.
mobility #smartcities #techpodcasts #aipodcast #iotpodcast #jamesco #internetofthings #artificialintelligence #podcasts #innovation
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Naeem Altaf, Distinguished Engineer and CTO for SpaceTech at IBM, talks to us about how the International Space Station presents the ideal scenario for his Edge Analytics initiative, where data needs to be processed at the source because sending it ‘to the cloud’ on earth is difficult or expensive. We then bring the discussion back down to earth, and discuss how edge analytics enable the Mayflower Autonomous Ship, which will navigate the Atlantic Ocean in 2021. I encourage you to connect with Naeem at https://www.linkedin.com/in/lahori/. You can read more about Naeem’s work at :
The New Space Age: IBM Develops A Unique, Custom Edge Computing Solution in Space (https://www.ibm.com/cloud/blog/ibm-develops-a-unique-custom-edge-computing-solution-in-space) Containers at the Edge of Space (https://www.cio.com/article/3616704/containers-at-the-edge-of-space.html) Feature Story: Mayflower Captains, 400 Years Apart (https://newsroom.ibm.com/Mayflower-Captains-400-Years-Apart)
Watch the video at https://youtu.be/3JO3LKGIlUc Listen to the episode on your preferred platform (#Spotify / #ApplePodcast / #Alexa / #Jiosaavn / etc.) at www.JamesCo.cc/11
spacetech #edgeanalytics #autonomouseships #spacestation #advancedanalytics #mayflower #stem #techpodcast #stempodcast #AIpodcast #jamesco #jamescaton #genomics
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
800 million people around the world rely on subsistence fishing for a living. Devleena Bhattacharjee discusses how her company, Numer8, uses satellite information, open data, and analytics to help subsistence fishing communities more accurately locate fish in real-time, so they spend less time at risk in the open sea, less money on fuel, and improve their catch.
Connect with Devleena at https://www.linkedin.com/in/devleenas/
Her company is at https://www.numer8.in/ofish
More information on their work: https://www.techemerge.org/pilots/numer8
Episode video: https://youtu.be/YEntkB5r8Nw
Spotify / Apple Podcast / Alexa / Jiosaavn / etc at www.JamesCo.cc/10
subsistencefishing #satellites #sustainableoceans #sustainability #analytics #smartcities #stem #techpodcast #stempodcast #AIpodcast #jamesco #jamescaton #womenintech #womenceos
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Dr. Timea Nochta is a Senior Research Associate at the Centre for Smart Infrastructure and Construction (CSIC), Department of Engineering, University of Cambridge. She holds a PhD in Local Government Studies (Public Administration, University of Birmingham, UK), and an MSc in Architecture and Engineering (Budapest University of Technology and Economics, Hungary).
Dr. Nocta discusses her recent work examining how City Digital Twins can be used to better inform policy-makers on they consider the costs and benefits of municipal initiatives.
Dr. Timea Nochta can be contaced at http://www.eng.cam.ac.uk/profiles/tn328 or https://www.linkedin.com/in/timeanochta.
Her paper "The Local Governance of Digital Technology – Implications for the City-Scale Digital Twin" can be found at https://www.cdbb.cam.ac.uk/CDBBResearchBridgehead/2019ECRs/2019ECRNochta
Episode video: https://youtu.be/JLfgtNIKRD0
Spotify / Apple Podcast / Alexa / Jiosaavn / etc at www.JamesCo.cc/9
jamesco #jamescaton #digitaltwins #citydigitaltwins #analytics #smartcities #governance #stem #techpodcast #stempodcast #AIpodcast #smartcitiesUK #UKsmartcities
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
(The Spanish version of this interview is published as Episode 7)
Dr. Jose Funes is an economic geographer with the Washington DC Mayor's Office of Planning. He describes his use of spatial analytics and open data to pinpoint areas in Washington DC that would be most impacted by the health and unemployment effects of COVID. He is originally from Honduras, and discusses how he has used spatial analytics to analyize West Nile, agricultural yields, rice nutrition in Rwanda, and now COVID impacts in Washington DC.
Dr Jose Funes (https://www.linkedin.com/in/jose-funes-phd-4a80856/)
Dr Jose Funes’ published paper that inspired this interview. (https://opdemographicdatahub-dcgis.hub.arcgis.com/datasets/1d351bc1b80446adb84ababae0221441)
Episode video: https://youtu.be/uRsvkraykPs
Spotify / Apple Podcast / Alexa / Jiosaavn / etc at JamesCo.cc
jamesco #jamescaton #spatialanalytics #analytics #smartcities #washingtondc #covid #honduras #stem #techpodcast #stempodcast #AIpodcast
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
(The English version of this interview will be published in Episode 8)
Dr. Jose Funes es un geógrafo económico de la Oficina de Planificación de la Alcaldia de Washington DC.
Recientemente publicó un artículo que examinó el doble impacto de COVID (salud, desempleo) en la fuerza laboral de Washington DC. (Vidas y medios de subsistencia: posibles impactos económicos y de salud de la pandemia de COVID-19 en la fuerza laboral del Distrito). Dr. Funes nos habla sobre el uso de la analítica espacial en este estudio y sobre su viaje personal desde Honduras a la Capital de los Estados Unidos.
Dr Jose Funes (https://www.linkedin.com/in/jose-funes-phd-4a80856/)
El papel de Dr Funes (https://opdemographicdatahub-dcgis.hub.arcgis.com/datasets/1d351bc1b80446adb84ababae0221441)
Video del episodio: https://youtu.be/2VCCviLTfUc
Spotify/Apple Podcast/Alexa/Jiosaavn/etc at JamesCo.cc
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Dr. Nachshon (Sean) Goltz and Dr. John Zeleznikow join me to discuss the ethics of artificial intelligence:
Why it is important to understand how AI makes life and death decisions (such as autonomous cars navigating a busy street for example, or supply chain AI allocating scarce medicines to patients)
What happens when the AI makes a life and death decision different than the one we we would make personally?
We discuss the Trolley Car problem, which postulates that a trolley car is travelling uncontrollably and will kill one of two groups of people. How should the trolley (i.e. autonomous car, supply chain AI agent) decide which group lives and which dies? Would you make a different choice?
How does the Jewish tradition approach this question? How does the Holocaust inform how autonomous cars might make this decision?
Dr. Nachshon (Sean Goltz) is a Senior Lecturer in the School of Business and Law at Edith Cowan University in Perth, Australia . You can connect with Sean at his University (https://www.ecu.edu.au/schools/business-and-law/faculty/profiles/senior-lecturer/dr-nachshon-sean-goltz) or on LinkedIn (https://www.linkedin.com/in/nachshon-sean-goltz-b93744132/).
Dr. John Zeleznikow is a Professor at La Trobe University in Melbourne, Australia. You can connect with John at his University contact here - https://scholars.latrobe.edu.au/jzeleznikow.
This podcast was inspired by the article "From the Tree of Knowledge and the Golem of Prague to Kosher Autonomous Cars: The Ethics of Artificial Intelligence Through Jewish Eyes", which was authored by Dr. Sean Goltz, Dr. John Zeleznikow, and Dr. Tracey Dowdeswell, and can be found here (https://academic.oup.com/ojlr/article-abstract/9/1/132/5877403?redirectedFrom=fulltext) Please look for a separate podcast episode with Dr. Dowdeswell on "The 4 Legal Personas of AI".
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner or guest and do not represent those of people, institutions or organizations that the owner or guest may or may not be associated with professionally.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Thank you for listening to the first four episodes! This short bonus episode gives a quick update on metrics, and also announces an "Ask Me Anything" opportunity (AMA). Have a question on technology? What is 5G? How does edge compute benefit me? How do I think about adding AI to my OEM product?
Leave me a voicemail at JamesCo.cc, and I will highlight you and answer your questions on an upcoming episode.
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner or guest and do not represent those of people, institutions or organizations that the owner or guest may or may not be associated with professionally.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Dr. Tracey Dowdeswell discusses how Artificially Intelligent agents are evolving to the point that they will soon acquire legal personas. Just like Corporations are legal entities, AI agents also will soon acquire legal entity status, so that you can interact with them, negotiate and sign contracts with them, and also sue for damages.
She describes the current thought on the 4 potential legal personas an Artificially Intelligent agent might acquire.
Dr. Dowdeswell is Professor of Criminology at Douglas College in British Columbia, Canada. You may connect with her here.
This podcast was inspired by the article "From the Tree of Knowledge and the Golem of Prague to Kosher Autonomous Cars: The Ethics of Artificial Intelligence Through Jewish Eyes", which she co-authored with Dr. Sean Goltz and Dr. John Zeleznikow.
Please look for an upcoming podcast with Sean and John on "Kosher Autonmous Cars".
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner or guest and do not represent those of people, institutions or organizations that the owner or guest may or may not be associated with professionally.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
John Gnadinger, Director of the Analytics and Business Intelligence Consortium at Carroll University (Waukesha WI) on how the Industry Consortium is a critical component of their analytics and business intelligence program. The Consortium creates a virtuous loop: guiding the academic program, then hiring students as interns and full-time employees.
For more information about the Carroll University program, you can go to: https://www.carrollu.edu/academics/business/analytics-and-business-intelligence-consortium.
To connect with John Gnadinger, go to: https://www.linkedin.com/in/john-gnadinger/
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner or guest and do not represent those of people, institutions or organizations that the owner or guest may or may not be associated with professionally.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Dr. Bahman Sistany discusses the surprising ways that machine learning models can leak private information. A discussion for the rest of us: understand how this data can be 'leaked' and how you can avoid it.
This recording was inspired by his article published with the Industrial Internet Consortium: https://blog.iiconsortium.org/2019/12/what-would-privacy-preserving-ml-look-like.html.
To connect with Dr Sistany, go to: https://www.linkedin.com/in/bahman-sistany/
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner or guest and do not represent those of people, institutions or organizations that the owner or guest may or may not be associated with professionally.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Joy Rajan, smart cities and telecoms expert, talks India smart cities, COVID impacts, and career lessons.
To connect with Mr Joy Rajan, go to: https://www.linkedin.com/in/joycheruvathoor/
*Any views and opinions expressed in this podcast are personal and belong solely to the podcast owner or guest and do not represent those of people, institutions or organizations that the owner or guest may or may not be associated with professionally.
This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app