Me, Myself, and AI

• Speed, Ease, and Expertise With AI: Lenovo’s Linda Yao

  Linda Yao, chief operating officer and head of strategy for Lenovo’s Strategy, Solutions, and Services Group and vice president of hybrid cloud and AI solutions, joins us to explain the organization’s transition from technology product company to managed services provider. It’s now helping organizations with the change management required to implement AI in the enterprise. She shares both a framework around speed, ease, and expertise to facilitate this adoption, as well as the four pillars of AI readiness that Lenovo guides its clients to achieve. Tune in to this episode, also, for Linda’s perspective on the role of human connection in what she calls the era of inference, a time when we should focus on the implementation of maturing AI tools. Read the episode transcript here. Guest Bio: Linda Yao serves as vice president of hybrid cloud and AI solutions at Lenovo. Yao recently also took on the role of chief operating officer and head of Lenovo’s Strategy, Solutions, and Services Group and established the company’s AI Center of Excellence. Previously, at Boeing, she incubated a data science practice in the U.S. and India, built an M&A team, and oversaw investments for one of the largest corporate retirement plans in the world. She earned her finance chops at IBM in New York and Shanghai. Yao earned her bachelor’s and master’s degrees from Harvard University and an engineering certificate from MIT. She is an active liaison for the U.S. Presidential Scholars Foundation and the YoungArts, a national foundation. 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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• Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun

  Harvard Business School professor Raffaella Sadun’s research has historically focused on digital reskilling. Now, rapid technological changes — like AI — are reshaping the nature of work. Raffaella’s research has explored how AI might empower those with intermediate expertise, such as store managers and blue-collar workers, to become more efficient and satisfied in their roles. She shares a bit about her research on today’s episode of Me, Myself, and AI and highlights the potential for AI to improve teamwork and innovation by bridging the gaps between different functional teams. Her experiments show that AI can enhance productivity and output quality, sometimes even substituting for team collaboration, while also improving speed and efficiency in problem-solving tasks. Read the episode transcript here. Guest bio: Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, where she cochairs the Project on Managing the Future of Work and is coprincipal investigator of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. She cofounded several large-scale projects to measure management practices and managerial behavior in organizations, such as the World Management Survey, the Executive Time Use Study, and U.S. Census Bureau’s Management and Organizational Practices Survey of hospitals. 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 Alanna Hooper. 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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• Feed Drop: How AI Will Change Your Job: MIT’s David Autor

  Today’s episode is a bonus drop from our friends over at the MIT CSAIL Alliances podcast. We’ll back in two weeks for Season 11 of Me, Myself, and AI. David Autor, the Daniel (1972) and Gail Rubinfeld Professor, Margaret MacVicar Faculty Fellow in MIT’s Department of Economics, says that AI is “not like a calculator where you just punch in the numbers and get the right answer. It’s much harder to figure out how to be effective with it.” Offering unique insights into the future of work in an AI-powered world, Autor explains his biggest worries, the greatest upside scenarios, and how he believes we should be approaching AI as a tool, and addresses how AI will impact jobs like nursing and skilled trades. Read the episode transcript here. Studies and papers referenced in this conversation:  AI and Product Innovation AI and the Gender Gap Robotics and Nursing Homes CSAIL Alliances connects business and industry to the people and research of MIT’s Computer Science and Artificial Intelligence Laboratory. Each month, the CSAIL podcast features cutting-edge MIT and CSAIL experts discussing their current research, challenges, and successes, as well as the potential impact of emerging tech. Follow the podcast 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 coordinating producers are Allison Ryder and Alanna Hooper. 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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• Monetizing Data With AI: MIT CISR's Barb Wixom

  Barbara Wixom, principal research scientist at MIT’s Center for Information Systems Research (CISR), draws on 30 years of research in this bonus episode of the Me, Myself, and AI podcast. She believes data monetization is the key to enterprise success with AI and breaks down why. With hosts Sam Ransbotham and Shervin Khodabandeh, Barb details case examples to highlight best practices for AI implementation and how to measure value, as well as how data governance and ethics play a critical role in successful AI projects. They also talk about what companies get wrong and the challenges and rewards of AI research. Read the episode transcript here. Guest bio: Barbara Wixom is a principal research scientist at the MIT Center for Information Systems Research (CISR). Her academic research explores how organizations generate business value from data assets. She is the author of the award-winning book, Data Is Everybody’s Business: The Fundamentals of Data Monetization, which she wrote to inspire workers to engage in data monetization. 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 Alanna Hooper. 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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• Tackling Injuries With AI: The NFL's Jeff Miller

  Jeff Miller moved from a career in government to focus on the health and safety of NFL players. Due to the nature of their sport, they are more prone to injuries, including concussions, than other professional athletes. By leveraging the game’s unique elements, such as the volume of cameras filming on-field activities, the NFL can gather large data sets to track injuries, and then segment their likelihood of occurrence by position and design equipment and update game rules to minimize them. Jeff joins us to describe how the NFL has partnered with tech companies, including Amazon Web Services (AWS), to expand its technology fluency and implement these solutions. Listen to today’s episode to learn about specific equipment the NFL has produced and rule changes it has implemented to better track and protect its players, as well as one element of the game Jeff believes technology cannot replace. Read the episode transcript here. Guest bio Jeff Miller is the National Football League’s executive vice president overseeing player health and safety. He is also the NFL’s executive vice president of communications, public affairs, and policy. During his tenure, the league has used data, artificial intelligence, and engineering to improve protective equipment, make rule changes, and support independent medical research related to players’ wellness and the rate of concussions. Before joining the league, Miller spent a decade on Capitol Hill as chief counsel and staff director for the Antitrust and Business Competition Subcommittee of the U.S. Senate Judiciary Committee. He earned his Juris Doctor from the University of Chicago Law School and his bachelor’s degree from the University of Pennsylvania.   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 Alanna Hooper. 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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