AI in Action

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.

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.

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.

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. 

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

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

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.

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.

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.

Data driven decision making exceeds any intuition in fantasy football (or any other sport). When you get your data ready the right way, you can use AI model so gain powerful insights. Insights that can help you drive growth—or win at fantasy football. In this episode, ESPN host Mike Greenberg joins podcast host Albert Lawrence and Elizabeth O'Brien, Senior Executive of Sports and Entertainment Sponsorship Marketing at IBM, to discuss the importance of making game decisions based on data and how generative AI is changing the game in the fantasy football space. Learn about the powerful AI models co-created by IBM and ESPN that transform football data into insights to help fantasy team owners set their lineups.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.