Causal Artificial Intelligence, potential AI pitfalls, getting executive buy-in

John K Thompson is co-author of "Causal Artificial Intelligence: The Next Step in Effective Business AI" and Global Head of Artificial Intelligence (AI) at EY.

John's career path went from being an assembler programmer, to creating the first neural network utility at IBM, and now running the AI group at Ernst & Young. We'll unfold the pages of his acclaimed book, Causal Artificial Intelligence, and gain insights into his fascinating writing process. A relentless seeker of the 'why' behind data and analytics, John's insights are sure to fuel your curiosity.

Fasten your seat belts as we navigate through the multifaceted world of artificial intelligence. With the rise of AI, we are looking at a portfolio approach, focusing on several types such as generative and causal AI. Understand how these AI types generate context-specific responses, and the role of retrieval augmented generation in enhancing AI models. We'll also uncover how John masterly built a production generative AI infrastructure for UI, and some smart ways to sidestep pitfalls while implementing AI.

We examine how AI can be a game changer for businesses. John delivers invaluable advice on team collaboration, secure data management, and the crucial link between data, analytics, and measurable business outcomes. In an era where AI is revolutionizing industries, John's practical insights are the compass you need to chart a successful course.

Check out John's book on Amazon: Causal Artificial Intelligence: The Next Step in Effective Business AI
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