
AI in Action
AI in Action explores what it takes to put artificial intelligence into action across a rapidly evolving business and tech landscape. Each episode focuses on responsible AI implementation and real-world business challenges, examined through a practical use case lens.
Latest episodes

Feb 25, 2025 • 27min
How the Mayo Clinic's AI medicine app helps in stroke prevention
The Mayo Clinic used years of data from 600,000 patients to build an AI model that can detect and predict what doctors sometimes cannot. Dr. Guru Kowlgi, a cardiac electrophysiologist at the Clinic, joins us to discuss the complexity of data curation for AI modeling and how that curation is tied to trust.

Jan 7, 2025 • 30min
AI Realism with NE-YO and Ed Ulbrich: How AI affects artists, from IP to CGI
Grammy Award-Winning Artist NE-YO and Ed Ulbrich, Chief Content Officer of Metaphysic, talk about AI ethics and risks when using AI to create art and entertain. Is AI in art about scaling and amplifying creativity, or just laziness? Can we maintain the artist to person connection when using their likeness to perform? Either way, AI is being used in art like any other technological tool, and we need the guardrails to keep what’s good.

Dec 17, 2024 • 26min
Gen AI for Good with James Hodson: Using AI to create a better tomorrow, today
What if instead of focusing on productivity, we used AI technology to solve our most pressing, human problems like where to find medicine or how to avoid the collapse of the banking system in Ukraine? Listen to James Hodson, Co-Founder and CEO of AI for Good, talk about how AI technology can positively transform communities, but only if we provide the necessary infrastructure and education to get people on board. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Dec 3, 2024 • 18min
Change Agents with Ethan Mollick: How AI agents will reinvent productivity
Can AI agents can make you better at your job? Listen to Ethan Mollick, Co-Director of Generative AI Lab at Wharton, for tips on how to use AI agents to be more creative and efficient. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Nov 26, 2024 • 22min
Hacking generative AI: Limiting security risk in the age of AI
While 81% of executives stress the importance of secure and trustworthy AI, only 24% of AI projects are secure. Is it ever ok to prioritize innovation over security when it comes to AI? Listen to Chris Thompson, Global Head of IBM X-Force Red, and Moumita Saha, Senior Security Architect at AWS talk about the generative AI attack surfaces, risks and how we can secure AI models. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Nov 19, 2024 • 37min
AI Pilots to Progress: The lowdown on what makes AI projects successful
Building an AI pilot is relatively easy, but implementing it in a real-life environment is much, much harder. In real life, costs, data quality and user experience become difficult to control. Listen to guests Anupam Singh, VP of Engineering at Roblox and Nick Renotte, Chief AI Engineer at IBM, talk about why 4 out of 5 of AI pilots fail and how you can avoid yours being one of them.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity

Oct 22, 2024 • 19min
Leaders v. learners: It all comes down to AI accessibility with Reshma Saujani
There's a vanguard leading the charge to make AI accessible to all, and others are still catching up. Yet, amidst this progress, a concerning reality exists: a gender gap is forming in the field of AI. Listen to Reshma Saujani, Founder & CEO of Girls Who Code, talk about “aspirational AI” and what we can do to close the gap.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity

Oct 8, 2024 • 21min
Can you afford gen AI? How AI infrastructure, integration, data and other hidden costs make AI expensive
Generative AI is expensive, and it gets even more expensive as you scale. Find out about the hidden costs of AI, like AI integration, data, and AI security with host Albert Lawrence, Rebecca Gott, IBM Distinguished Engineer and CTO of Power Platform, and Penny Madsen, IDC Senior Research Director of Cloud and Edge Services. Listen to see how you can make your AI project returns justify the cost, and how an AI center of excellence can help. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Sep 24, 2024 • 33min
Not just a chatbot: Build virtual agents that are actually helpful with gen AI
Virtual agents have been part of our lives for a long time, but can they replace humans as they become faster and more accurate with generative AI? Listen to host Albert Lawrence discuss the evolution of AI agents with Susan Emerson, Vice President of Product, AI and Data at Salesforce and Nick Renotte, Chief AI Engineer at IBM Client Engineering.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Sep 10, 2024 • 16min
Rewriting the future. How developers are driving what’s next with gen AI
Gen AI is changing life for everyone, even for those creating it, aka developers. In this episode, host Albert Lawrence and IBM Developer Advocate JJ Asghar discuss why “open” is so important, AI security, governance, and how to get started as an AI developer. Should you build your own foundation model? Are open-source AI models more secure? Listen for more advice on how to get the most from AI models.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.