AI in Action – Details, episodes & analysis

In this new series, host Albert Lawrence will be joined by AI experts – technologists and business leaders alike to explore what generative AI can and can’t do, how it actually gets built, responsible ways to put it into practice, and the real world business problems and solutions we’ll encounter along the way.

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.

AI adoption requires a platform approach, with the data , AI models, and AI governance working together seamlessly. So, successful generative AI adoption means integrating data silos, managing your AI infrastructure effectively and choosing the right cloud deployment options. In this episode, our host Albert Lawrence and guests Hillery Hunter, CTO for IBM Infrastructure and GM of Innovation, and Ash Minhas, Engagement Leader at IBM Innovation Studio, explore the link between hybrid cloud and AI and discover how the right tech foundation can help take your AI workloads to the next level.

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.

Artificial Intelligence (AI) can free up time and make work easier, automating repetitive tasks so we can focus on creative and strategic work – we hear it all the time. But how exactly do we use AI assistants and virtual agents , and chatbots to achieve greater efficiency and productivity using generative AI? Listen to podcast host Albert Lawrence in conversation with Jessica Rockwood, VP of Client Engineering at IBM, and Morgan Carroll, Senior AI Engineer in Client Engineering at IBM as they explore the potential of AI in transforming the way we work and discover the role AI integration and the right AI models play in successful AI adoption.

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.