Bonus Episode: Generative AI Trends for 2024 With Tom Davenport

Bonus Episode: Generative AI Trends for 2024 With Tom Davenport

Author: MIT Sloan Management Review February 6, 2024 Duration: 29:49
While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Tom Davenport, President’s Distinguished Professor of Information Technology and Management at Babson College, joins Sam and Shervin to talk about their predictions for AI trends in 2024. Read the episode transcript here.  Find the additional studies and resources mentioned in the episode below: Tom Davenport’s articles with MIT SMR 2024 CDO Insights: Data & Generative AI(form required for download via AWS) Why Companies That Wait to Adopt AI May Never Catch Up What the data says about Americans’ Use of Artificial Intelligence (Pew Research) What do AI chatbots really mean for students and cheating? (Stanford Graduate School of Education) Randy Bean’s 2024 Executive Survey  Guest Bio Thomas H. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford’s Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.  We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. 

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
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