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.

When you are expected to modernize millions of lines of code fast, AI code generation may seem like a great idea. But to effectively use generative AI, developers need a fundamental understanding of code and programming principles. Listen to host Albert Lawrence, Miha Kralj, Global Senior Partner of IBM Hybrid Cloud Services, and David Levy, Advisory Technology Engineer at IBM Client Engineering, as they explore the use of AI models in application development and application modernization as well as the potential pitfalls to avoid.

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 using generative AI and natural language processing make AI agents really be empathetic, personal and proactive? Can they answer the questions that we have without human agent intervention? Listen to host Albert Lawrence, Jeannie Walters, customer experience speaker and trainer, and Morgan Carroll, senior AI engineer at IBM, as they discuss the use of virtual agents, artificial intelligence and generative AI in customer service. Learn why transparency and honesty are important when using AI assistants and chatbots, and how best you can use data and AI to predict and prevent customer issues.

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.

Want to know how generative AI and artificial intelligence can bring the human back into human resources and help both the employers and the candidates. Listen to host Albert Lawrence, Jon Lester, VP of HR Technology, data and AI at IBM, and David Levy, Advisory Technology Engineer at IBM, as they discuss the different ways AI adoption can help optimize the hiring process—automating tasks, providing insights and offering recommendations to hiring managers. And learn more about the different outcomes AI orchestration helps deliver, including improved candidate experience, reduced time to hire and increased quality of hire.

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.