On this episode of the Decision Intelligence podcast, Tom Davenport discusses the drivers, the hurdles, and what’s standing in the way of becoming data-driven, self-driving organizations. He shares how economic value from AI can only be achieved by moving from experiment to production — and how this will enable entirely new and better ways of making complex decisions and improving work.

Tom is recognized as one of the 100 most influential people in the technology industry and was named one of the top 50 business school professors in the world by Fortune magazine. Ranked among the top 25 consultants in the world, Tom’s career has focused on helping organizations digitally transform management practices across AI, analytics, information and knowledge management, process management, and enterprise systems. Tom has authored and co-authored more than 25 books and more than 300 articles – including his recent book, All Hands on Tech: The AI-Powered Citizen Revolution.

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