Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College. He is also a Visiting Professor at Oxford's Said Business School, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte's AI practice.
He is a widely published author and speaker on the topics of AI, analytics, information and knowledge management, reengineering, enterprise systems, and electronic business. Tom has written, co-authored, or edited 23 books, including the first books on business analytics, enterprise AI, business process reengineering, knowledge management, attention management, and enterprise systems. He recently published “Working with AI,” and “Advanced Introduction to AI in Healthcare.” And just published “All in on AI: How smart companies win big with artificial intelligence”
He has written over 300 articles for such publications as Harvard Business Review, Sloan Management Review, California Management Review, the Financial Times, and many other publications, and has been a columnist for the Wall Street Journal, Forbes, Information Week, and CIO. He has been named one of the world's top 25 consultants by Consulting magazine, one of the 100 most influential people in the IT industry by Ziff-Davis magazines, and one of the top 50 business school professors by Fortune magazine.
In this podcast, he shares:
- Operational transformation to maximize the use of AI
- New products and services made capable by AI
- Using AI to change customer behavior
- 5 levels of analytics organization
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Episode Timeline:
00:00—Highlight from today's episode
1:17—Introducing Tom + The topic of today’s episode
3:25—If you really know me, you know that...
4:59—What is your definition of strategy?
6:00—How does competitive advantage change with the adoption and evolution of AI?
7:13—What are the different ways in which companies are thinking about using AI?
10:15—Could you elaborate on the idea that you don't have to be a digital-first company to be an AI-fueled one?
11:17—What advice do you have for overcoming barriers to implementing AI?
13:04—Do you have any lessons form companies that were able to make a successful cultural shift to AI?
15:11—Could you talk about the different levels of tech or data maturity that companies fit into?
18:10—Where do the teams that work on AI sit within a company?
19:33—Is there a particular model or framework that you found particularly helpful that you'd like to share with us?
21:26—How can people learn from you and connect with you?
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Additional Resources:
Personal Page: https://www.tomdavenport.com/
Linkedin: https://www.linkedin.com/in/davenporttom
Twitter: https://twitter.com/tdav
Thank you to our guest, our executive producer Zach Ness, our editor James Pearce, and the Outthinker team. If you enjoyed this episode, please follow, download, and subscribe. I’m your host, Kaihan Krippendorff—thank you for listening.
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