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Me, Myself, and AI

MIT Sloan Management Review
Me, Myself, and AI
Latest episode

120 episodes

  • Me, Myself, and AI

    AI Upskilling at Scale: Bank of America’s Bernard Hampton

    16/06/2026 | 29 mins.
    Today’s episode, the final one of Season 13, explores how Bank of America is preparing a massive global workforce for an AI future through upskilling and reskilling. Bernard Hampton, head of the financial institution’s Academy, explains how the learning and development organization focuses on workforce agility and a building combination of technical and soft skills.

    Bernard outlines a three-level approach to adopting artificial intelligence
    and shares situations in which he feels humans need to stay in the loop. Read the episode transcript here.

    Guest bio:

    Bernard Hampton leads The Academy, which is responsible for onboarding and upskilling more than 200,000 employees as Bank of America’s chief people organization. The Academy, a team of more than 1,000 dedicated professionals, provides expert facilitation and coaching, compliance education, and immersive technology.

    Hampton joined the bank in 2004 and has served in many leadership roles, including as a consumer banking division executive. In addition to serving as the bank’s executive market sponsor for the West Palm Beach market, he is an executive sponsor for multiple employee engagement groups, networks, and development programs including the Intergenerational Employee Network.

    Hampton also serves on the global advisory board for Operation Hope, and he is a Herndon Directors Institute fellow and a 2022 inductee to the Executive Leadership Council. He also serves as an executive board member of the Urban League of Palm Beach County.

    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.

    ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
  • Me, Myself, and AI

    AI for Interoperability in Health Care: Philips’s Carla Goulart Peron

    01/06/2026 | 33 mins.
    On today's episode, Philips’s chief medical officer Carla Goulart Peron shares how artificial intelligence is reshaping health care — not by replacing clinicians but by expanding access, improving diagnostics, and freeing doctors to focus more time on patients. Drawing on her experience practicing medicine in Brazil’s strained public health system, she explains how technologies like AI-assisted imaging and remote collaboration can bridge critical gaps in care. Carla also explores the challenges of trust, bias, interoperability, and women’s health data in the next era of AI-enabled medicine. She offers a grounded, global perspective on how technology can make health care more human. Read the episode transcript here.

    Guest bio:

    Dr. Carla Goulart Peron is chief medical officer at Philips. A physician by training, she leads the global team shaping the health technology company’s medical strategy for achieving scientific excellence across medical affairs, clinical research, medical safety, and health economics. Before joining Philips, she was vice president and chief medical officer for surgical innovations and robotics at Medtronic.

    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.

    ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
  • Me, Myself, and AI

    A Need for Nuance: The Economist’s Andrew Palmer

    19/05/2026 | 40 mins.
    On today’s episode, Andrew Palmer, senior editor at The
    Economist, describes how organizations can experiment with
    generative AI while balancing speed, quality, and risk. At his own
    organization, Andrew and others test AI with human oversight to develop editing and publishing efficiencies.

    As the host of The Economist’s Boss Class podcast, Andrew speaks with leaders as well as early-career professionals, and highlights interesting insights from recent conversations around skills and hiring. Read the episode transcript here.

    Guest bio:

    A senior editor at The Economist, Andrew Palmer writes about
    the workplace for the “Bartleby” column and hosts Boss Class,
    a limited-season podcast about management. His previous roles at the
    publication, which he joined in 2007, include Britain editor, executive editor,
    business-affairs editor, head of the data team, Americas editor, finance editor, and banking correspondent.

    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.

    ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
  • Me, Myself, and AI

    Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla

    05/05/2026 | 38 mins.
    In this episode, Sam speaks with Vineet Khosla, CTO of The Washington Post, about how AI is reshaping the way news is produced, delivered, and consumed. Vineet argues that journalism itself isn’t broken — but the formats people use to consume news are rapidly evolving, especially as audiences increasingly interact with information through AI.

    The conversation explores how the Post is experimenting with
    personalized AI podcasts, AI-powered research tools for journalists, and conversational news experiences that help readers understand not just what happened but why it matters and how it connects to
    other world events.

    Behind the scenes, the Post is deploying artificial intelligence across the entire organization, and Vineet shares details about the organization’s “AI everywhere” philosophy. Read the episode transcript here.

    Guest bio:

    Vineet Khosla, chief technology officer at The Washington Post, is a renowned AI engineer whose career has been marked by groundbreaking
    achievements. Before joining the Post in 2023, Khosla created Uber’s global maps routing system with cutting-edge AI tools. He was the first engineering hire for Siri’s natural language engine, and as a senior AI engineer with Apple, he played a central role in developing the core natural
    language understanding engine and the architectural framework that allowed the virtual assistant to operate on devices.

     Khosla has been working with AI since 2005 and is the holder of two patents and multiple white papers published on the subject. He earned a master’s in artificial intelligence at the University of Georgia and a bachelor’s in computer science at Pittsburg State University.

    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.

    ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
  • Me, Myself, and AI

    Industrial AI for the Physical World: Siemens’s Peter Koerte

    21/04/2026 | 31 mins.
    In this episode, Sam talks with Peter Koerte, member of the managing board and chief strategy and technology officer of Siemens, about how industrial AI is quietly transforming the infrastructure that powers everyday life.

    While consumer AI grabs headlines, Peter explains how artificial
    intelligence is improving factories, transportation systems, energy
    grids, and buildings behind the scenes. The conversation explores what
    makes industrial AI different — from the need for near-perfect accuracy
    to the challenge of working with proprietary, domain-specific data.

    Peter shares examples like predicting train door failures days in
    advance, optimizing building energy use, and accelerating complex
    engineering simulations. Peter and Sam also discuss the importance of
    domain expertise, the value of data-sharing partnerships across
    companies, and why transformation is as much about people and workflows
    as it is about technology. Read the episode transcript here.

    Guest bio:

    As a member of the managing board, chief strategy officer, and chief
    technology officer of Siemens, Peter Koerte is responsible for
    developing the company’s strategy and leading its worldwide research and
    development activities. His current priorities include accelerating
    development of innovative sustainable technologies and continuing
    development of the Siemens Xcelerator business platform.

    Koerte previously headed Digital Health, a Siemens Healthineers unit
    that develops AI-supported diagnostic procedures for health care. He
    joined the corporate strategy side of the company in 2007 after working
    for the Boston Consulting Group. Koerte holds a master’s degree in
    business and engineering from the Karlsruhe Institute of Technology and a
    doctorate in strategy and international management from the WHU-Otto
    Beisheim School of Management. He also completed the General Management Program at Harvard Business School.

    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.

    ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
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About Me, Myself, and AI
Discover what separates AI success from AI hype. In this series from MIT Sloan Management Review, AI winners share their secrets and success stories from the front lines. Explore the future of artificial intelligence with leaders from companies like YouTube, Cisco, and Hugging Face who are turning AI's potential into measurable business value.
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