Me, Myself, and AI

MIT Sloan Management Review and Boston Consulting Group (BCG)
  • 4,8 (97)
  • TECHNOLOGIES
  • DEUX FOIS PAR MOIS
Me, Myself, and AI

Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like NASA, Github, and others excited to do their jobs every day and what they consider the keys to their success.

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

    -1 J

    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.

    32 min
  2. Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun

    18 MARS

    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.

    30 min
  3. Feed Drop: How AI Will Change Your Job: MIT’s David Autor

    4 MARS · BONUS

    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.

    40 min
  4. Monetizing Data With AI: MIT CISR's Barb Wixom

    18 FÉVR. · BONUS

    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.

    34 min
  5. Tackling Injuries With AI: The NFL's Jeff Miller

    4 FÉVR. · BONUS

    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.

    30 min
  6. How a 160-Year-Old Startup Uses AI: The Heineken Company’s Ronald den Elzen

    7 JANV.

    How a 160-Year-Old Startup Uses AI: The Heineken Company’s Ronald den Elzen

    After trying his luck at the stock market, Ronald den Elzen, pursued a career in technology leadership instead. Today, as the chief technology and digital officer of The Heineken Company, he encourages his team to think about the legacy beverage company as a 160-year-old startup with global scale, operating with multiple brands in more than 80 markets. When members of his team can work with agility and less fear of making mistakes, he finds they are more successful at rolling out new technology initiatives. Heineken uses AI extensively in areas including revenue management, promotional optimization, and logistics, but Ronald believes much value still comes from traditional AI — such as predictive analytics and machine learning models — rather than chasing the latest trends like generative AI (GenAI). Heineken is focused on using these foundational tools to drive tangible. Read the episode transcript here. Guest bio: Ronald den Elzen, chief digital and technology officer at The Heineken Company, has been with the international brewer since 1996. He previously held roles in data and transformation and served as the CEO of Heineken USA. Den Elzen lives in the Netherlands. 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.

    28 min
  7. Collective Learning With Generative AI

    17/12/2024 · BONUS

    Collective Learning With Generative AI

    Over the past year, we’ve seen generative AI explode. In this episode, we review insights shared with us from five prior guests — from Microsoft, GitHub, Meta, Partnership on AI, and NASA — and consider what’s changed, what’s the same, and what new concerns organizations face. With GenAI tools becoming ubiquitous and democratized, organizations grapple with how to use them at the enterprise level and how to regulate their use for employees. They’re also struggling with openness and transparency in the name of knowledge sharing while protecting competitive advantage. The balance between openness, competition, and responsible deployment of AI is crucial as AI tools continue to evolve. Read the episode transcript here. For more, listen to these prior episodes in full: Out of the Lab and Into a Product: Microsoft’s Eric Boyd If 10% of the World Were Developers: GitHub’s Mario Rodriguez Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay Building Connections Through Open Research: Meta’s Joelle Pineau AI on Mars: NASA’s Vandi Verma 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.

    31 min
  8. Leveling the Playing Field With AI: Special Olympics's Mary Davis

    03/12/2024

    Leveling the Playing Field With AI: Special Olympics's Mary Davis

    Mary Davis, CEO of Special Olympics, wants the people she represents to “have a seat at the table” as AI evolves. In this episode of the Me, Myself, and AI podcast, Davis talks about her organization’s mission along with the growing role of AI and how it’s crucial to ensure that people with intellectual disabilities — a group often overlooked in tech discussions — are included in AI development. Special Olympics helps people with intellectual disabilities through sports, education, and leadership programs. Its Unified Champion Schools program is an inclusive education initiative that benefits all students, both those with and without intellectual disabilities, reduces bullying, and improves academic performance. Mary also shares the results of a study conducted by the Special Olympics and Harvard University citing strong support from parents, teachers, and the athletes themselves to use AI to support people with intellectual disabilities, especially in educational contexts. She sees AI as a powerful tool for “leveling the playing field” and describes specific applications that the Special Olympics is using for employees and athletes. Read the episode transcript here. Guest bio: Mary Davis has been the CEO of Special Olympics since 2016. She joined the nonprofit organization soon after college as a volunteer and coach in her native Ireland. She progressed through various leadership roles before becoming its global CEO: She was CEO of the Special Olympics World Summer Games Dublin 2003, the first such event held outside the United States; CEO of Special Olympics Ireland; and president and managing director of Special Olympics Europe/Eurasia. Davis was awarded a Person of the Year Award for her work on the 2003 World Summer Games and her years of service with Special Olympics Ireland. 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.

    38 min
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À propos

Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like NASA, Github, and others excited to do their jobs every day and what they consider the keys to their success.

Informations

  • Création
    MIT Sloan Management Review and Boston Consulting Group (BCG)
  • Années d’activité
    2020 - 2025
  • Épisodes
    96
  • Classification
    Tous publics
  • Copyright
    © 858384
  • Site web de l’émission
    Me, Myself, and AI

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