Me, Myself, and AI

• Challenging the Average With Open-Source AI: Hugging Face’s Thomas Wolf

  Thomas Wolf is the cofounder and chief science officer of open-source AI platform Hugging Face, which provides access to thousands of pretrained AI models that can be downloaded and run locally. With over 10 million users, getting started on the site can be a daunting task. Thomas explains how the company aims to improve its accessibility through documentation on the company blog as well as community feedback, similar to social media likes and upvoting. Thomas and Sam discuss the benefits and trade-offs of both open-source and closed-source AI models, as well as the evolution of microchips and the future of hardware and software development — as well as the hopes Thomas has for the future of coding with AI, starting with his children’s generation. Read the episode transcript here. Guest bio: Thomas Wolf is cofounder and chief science officer of Hugging Face, a collaborative AI platform. Wolf likes creating open-source software (OSS) that makes complex research, models, and data sets widely accessible. He can also be found pushing for open science in research in AI and machine learning, to try lowering the gap between academia and industrial labs through projects like the BigScience Workshop. He also writes and produces education content on AI, machine language, and natural language processing, including the reference book Natural Language Processing with Transformers, The Ultra-Scale Playbook, his blog, and videos. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

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• Feed Drop: MIT CSAIL Alliances Podcast

  Today’s episode is a bonus drop from our friends over at the MIT CSAIL Alliances podcast. We'll be back on September 16 with new episodes of Me, Myself, and AI. Chris Miller is professor of international history at Tufts University. He joins the MIT CSAIL Alliances podcast to share insights from his recent book, Chip War: The Fight for the World's Most Critical Technology. 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 executive producer is Allison Ryder. 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.

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• Training AI to Detect Disease: Stand Up To Cancer’s Julian Adams

  Julian Adams tried but didn’t succeed at retirement after a productive career as a medical chemist with several U.S. Food and Drug Association approvals of cancer-related treatments, including cell therapy for bone marrow transplantation. Soon after, his participation in a Stand Up To Cancer advisory group led to his appointment as the nonprofit’s president and CEO. The research organization raises money to advance the diagnosis of numerous cancers. Given rapid technological advancements, our podcast hosts were eager to invite Julian on the show to share how Stand Up To Cancer uses artificial intelligence to aid in this pursuit. Read the episode transcript here. For more information on Stand Up To Cancer and how to donate to the organization, please visit this website. Guest bio Julian Adams, president and CEO of Stand Up To Cancer, is among the world’s foremost oncology researchers. He was previously CEO of biopharmaceutical company Gamida Cell and president of R&D at Infinity Pharmaceuticals, where he oversaw development of small molecule drugs to treat cancer. He has also held roles at Millennium Pharmaceuticals, Boehringer Ingelheim, LeukoSite, and ProScript. Adams’s recognitions include the 2012 Warren Alpert Foundation Prize for his role in the discovery and development of bortezomib, an anti-cancer drug; the 2012 C. Chester Stock Award Lectureship from Memorial Sloan Kettering Cancer Center; and the 2001 Ribbon of Hope Award for Velcade from the International Myeloma Foundation. He holds more than 40 patents and has authored more than 130 papers and book chapters. He received his bachelor’s degree and an honorary doctor of science degree from McGill University and his Ph.D. from MIT in synthetic organic chemistry. 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 executive producer is Allison Ryder. 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.

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• Delivering More Connected Care Through AI: CVS Health's Josh Weiner

  Josh Weiner, senior vice president of consumer engagement and analytics at CVS Health, is passionate about making health care more personalized, connected, preventative, and accessible. On today’s episode, Josh joins Sam and Shervin to explain how the integrated health care company is structured and how it is using AI to achieve those goals. Read the episode transcript here. 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 executive producer is Allison Ryder. Guest bio At CVS Health, where Josh Weiner is the senior vice president of consumer engagement and analytics, his priority is personalizing consumer experiences and developing the health care company’s app. Previously, he was a health care leader at Meta, where he supported product development, algorithm engineering, and acquisitions. He was also a senior analytics expert at McKinsey and Co. Weiner is a board member at nonprofits Enduring Hearts and Docs for Tots. He holds a bachelor’s degree from Carnegie Mellon University and a master’s from Northwestern University. 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.

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• Building Better Answers With AI Agents: SAP’s Walter Sun

  The suggestions and support offered by AI are helpful only if they’re relevant. On today’s episode, Walter Sun, senior vice president and global head of artificial intelligence at SAP, joins Sam and Shervin to share how his organization is helping employees get smarter about artificial intelligence through the company’s AI Days. Additionally, Walter gives specific examples of support that AI agents could provide to an end user, and makes the case that small language models (fine-tuned large language models) can be built to assist in decision-making. Read the episode transcript here. Guest bio: Walter Sun is senior vice president and global head of artificial intelligence at SAP, where his team applies AI across applications for improved automation, natural human-machine interaction, and augmentation of decisions. Sun joined SAP in 2023 from Microsoft, where he was vice president of Copilot Applied Artificial Intelligence. While there he founded Bing Predicts, which leveraged anonymized and aggregated data for predictive analytics. He also delivered many AI features for the Bing search engine, Microsoft Windows, Microsoft Dynamics 365, and Microsoft Power Platform. Previously, Sun worked at BlackRock Financial Management and at Apple as a senior software engineer. Sun has taught at Seattle University and the University of Washington, and he is currently an advisory board member at Georgia Tech and the University of Rochester, and an MIT Tech Review Global Insights panelist. He obtained his bachelor’s from Georgia Tech and his Ph.D. and master’s from MIT. 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 executive producer is Allison Ryder. 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.

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