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The AI Advantage
MP3•Episode home
Manage episode 230033618 series 2086922
Content provided by Mariposa Leadership. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mariposa Leadership or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Sue Bethanis hosts Thomas Davenport, one of the top three business/technology analysts in the world, one of the 100 most influential people in IT, and one of Fortune’s top 50 business school professors.
Tom is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article. An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems.
In his new book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, Tom recommends enterprises avoid AI moonshots and instead look to advance AI more incrementally.
Tom and Sue discuss:
-How AI technologies are being used
- How to become a cognitive corporation
- How AI will impact jobs
- How to manage the organizational, social, and ethical implications of AI
- Leading case studies and top strategies to make the most out of AI implementation
…
continue reading
Tom is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article. An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems.
In his new book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, Tom recommends enterprises avoid AI moonshots and instead look to advance AI more incrementally.
Tom and Sue discuss:
-How AI technologies are being used
- How to become a cognitive corporation
- How AI will impact jobs
- How to manage the organizational, social, and ethical implications of AI
- Leading case studies and top strategies to make the most out of AI implementation
82 episodes
MP3•Episode home
Manage episode 230033618 series 2086922
Content provided by Mariposa Leadership. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mariposa Leadership or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Sue Bethanis hosts Thomas Davenport, one of the top three business/technology analysts in the world, one of the 100 most influential people in IT, and one of Fortune’s top 50 business school professors.
Tom is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article. An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems.
In his new book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, Tom recommends enterprises avoid AI moonshots and instead look to advance AI more incrementally.
Tom and Sue discuss:
-How AI technologies are being used
- How to become a cognitive corporation
- How AI will impact jobs
- How to manage the organizational, social, and ethical implications of AI
- Leading case studies and top strategies to make the most out of AI implementation
…
continue reading
Tom is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article. An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems.
In his new book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, Tom recommends enterprises avoid AI moonshots and instead look to advance AI more incrementally.
Tom and Sue discuss:
-How AI technologies are being used
- How to become a cognitive corporation
- How AI will impact jobs
- How to manage the organizational, social, and ethical implications of AI
- Leading case studies and top strategies to make the most out of AI implementation
82 episodes
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