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.
Erik Brynjolfsson has a challenge for anyone worried about artificial
intelligence: Stop asking what AI will do to us, and start asking what
we will do with AI.
In this episode, the Stanford University economist explains why technology isn’t the biggest barrier to progress — people, organizations, and institutions are. Drawing on new research into AI’s impact on jobs, productivity, and economic growth, he argues that the future isn’t predetermined: It will be shaped by the choices we make today. This is a timely conversation about human agency, shared prosperity, and why the most important AI breakthroughs may have less to do with technology than with how we use it. Read the episode transcript here.
Guest bio: Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and senior fellow at the Stanford Institute for Human-Centered AI, and
director of the Stanford Digital Economy Lab. He is also the Ralph
Landau Senior Fellow at the Stanford Institute for Economic Policy
Research, professor by courtesy at the Stanford Graduate School of
Business and Stanford Department of Economics, and a research associate
at the National Bureau of Economic Research.
A best-selling author, Brynjolfsson focuses his research on examining the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets.
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.
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.
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.
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.
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.
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.
In this episode, Sam is joined by Jacqui Canney, chief people and AI enablement officer at ServiceNow. Jacqui outlines how the software company has embedded AI agents into processes like employee onboarding to automate tasks, personalize experiences, and free up people’s time to focus on higher-value work. She emphasizes that successful adoption of artificial intelligence requires strong change management, workforce training, and a focus on talent — not just technology — including companywide AI skill assessments and personalized learning paths. Tune in to learn why Jacqui sees AI as a human capital opportunity. Read the episode transcript here.
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Guest bio: Jacqui Canney is the chief people and AI enablement officer at
ServiceNow, where she leads the enterprise software company’s talent
strategies for improving employees experience and preparing them for the
future workforce through the use of technology and generative AI.
Before joining ServiceNow in 2021, Canney served as chief people
officer at WPP and Walmart. She previously worked at Accenture for 25
years. Canney currently sits on the board of directors for food delivery
platform Wonder and nonprofit Project Healthy Minds. She’s also on the
Institute for Corporate Productivity’s Chief HR Officer Board and Boston
College’s board of trustees, and she cochairs the Boston College Wall
Street Business Leadership Council.
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.
In this episode, Sam speaks with Taylor Stockton, chief innovation officer at the U.S. Department of Labor, about how artificial intelligence is reshaping the workforce. Taylor emphasizes that AI is having an economywide impact,
transforming tasks within nearly every job rather than affecting only certain
industries or specific roles. He stresses the importance of helping
workers and businesses adapt.
He also argues that AI literacy is becoming a foundational skill and should be prioritized alongside soft skills like relationship building, which will remain essential for differentiation in an AI-driven economy. Taylor calls for shifting the public narrative from fear to optimism, toward highlighting the ways that AI expands opportunity, mobility, and meaningful work, instead of deepening uncertainty. Read the episode transcript here.
Guest bio:
As the chief innovation officer of the U.S. Department of Labor, Taylor Stockton leads an exploration into how artificial intelligence and emerging technologies impact the labor market and American workers, as well as what new innovations can support workers in achieving the American dream.
Stockton cofounded venture capital firm Pathway Ventures, which focuses on the future of work, and was the chief operating officer of an AI-powered workforce development company. He received his bachelor’s in management at Boston College and Master of Business Administration from Harvard Business School.
*Please take our listener survey: mitsmr.com/podcastsurvey
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."
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.
On today’s episode, Sam talks with Alice Xiang, global head of AI governance at Sony and lead research scientist for AI ethics at Sony AI, about what it actually takes to put responsible artificial intelligence into practice at scale.
Alice shares how Sony moved early on AI ethics and why governance, not just principles, is now the real challenge as AI spreads across products and workflows. The conversation dives into FHIBE, Sony’s publicly available and ethically sourced benchmark for evaluating bias in computer vision, and why measuring fairness is often harder than fixing it. Along the way, they tackle data consent, “data nihilism,” and the very real risks of deploying biased systems in everyday and high-stakes contexts. Read the episode transcript here.
Guest bio:
As the global head of AI governance at Sony, Alice Xiang leads the team guiding the establishment of AI governance policies and governance frameworks across the company’s business units. She’s also the lead research scientist for AI ethics at Sony AI, which is working on cutting-edge sociotechnical research to enable the development of more responsible AI solutions. Xiang holds a Juris Doctor from Yale Law School, a master’s in development economics from Oxford University, and a master’s in statistics and bachelor’s in economics from Harvard University.
*Please take our listener survey: mitsmr.com/podcastsurvey
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."
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.
In this bonus episode, Nobel Prize-winning economist Daron Acemoglu joins Sam to challenge some of the most common assumptions about artificial intelligence’s future. Drawing on his book Power and Progress, Daron argues that technology doesn’t have a fixed destiny — and that today’s choices will determine whether AI boosts workers or simply accelerates automation and inequality. He makes a case for focusing on new tasks that complement human skills, rather than replacing them, and warns that current incentives push AI toward centralization and automation by default. The conversation tackles productivity myths, reliability risks, and why regulation should proactively steer AI toward social good. Read the episode transcript here.
Guest bio:
Daron Acemoglu is an institute professor at MIT, faculty codirector of the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work, and a research affiliate at MIT’s newly established Blueprint Labs. He is an elected fellow of the National Academy of Sciences, American Philosophical Society, the British Academy of Sciences, the Turkish Academy of Sciences, the American Academy of Arts and Sciences, the Econometric Society, the European Economic Association, and the Society of Labor Economists. He is also a member of the Group of Thirty. He has authored six books, including Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity with Simon Johnson. His work in economics has been recognized around the world, notably with the Nobel Prize in economic sciences, along with co-laureates Johnson and James A. Robinson, in 2024.
*Please take our listener survey: mitsmr.com/podcastsurvey
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."
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.
In this bonus episode, Princeton University professor and artificial intelligence researcher Tom Griffiths joins Sam to unpack The Laws of
Thought, his new book exploring how math has been used for
centuries to understand how minds — human and machine — actually work.
Tom walks through three main frameworks shaping intelligence today — rules and symbols, neural networks, and probability — and he explains why modern AI only makes sense when you see how those pieces fit together.
The conversation connects cognitive science, large language models, and the limits of human versus machine intelligence. Along the way, Tom and Sam dig into language, learning, and what humans still do better — like judgment, curation, and metacognition. Read the episode transcript here.
*Please take our listener survey: mitsmr.com/podcastsurvey
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."
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.
On today’s episode, Wendy’s product manager Will Croushorn joins Sam to share how FreshAi, the fast-food restaurant’s voice-based AI ordering system, is reinventing the drive-through experience for millions of customers. From handling 200 billion ways to order a Dave’s Double burger to making fast food more accessible for guests in multiple languages, Will reveals how empathy and innovation will positively impact the future of convenience. Learn how his team turns speech data into insight, builds trust in automation, and can even hide a few Easter eggs in your next order. Read the episode transcript here. That's a wrap on Season 12!
We'll back in January with a bonus episode.
*Please take our listener survey: mitsmr.com/podcastsurvey
It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI."
Guest bio:
Will Croushorn is a product leader at Wendy’s and cocreator of its drive-through voice agent, FreshAi, which handles more than 150,000 orders each day across hundreds of stores throughout the U.S. Recognized by <cite>Fast Company</cite> as one of the “Next Big Things in Tech,” the artificial intelligence platform shows that AI can deliver measurable impact at enterprise scale. Croushorn’s career has been shaped by relentless curiosity: He started a school in northern Iraq, became fluent in Behdini Kurdish, and now advances vision and multimodal AI serve customers in entirely new ways.
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.
On this episode, OpenAI’s chief economist Ronnie Chatterji describes how artificial intelligence is reshaping both the economy and scientific innovation. Ronnie discusses the dual economic impacts of AI — the near-term boost from infrastructure investments like chips and data centers, and the longer-term productivity gains as AI tools integrate into enterprises and consumer life. Beyond consumer convenience, he notes, the key question for economists and corporate leaders alike is when — and how — AI will unlock sustained economic value inside organizations.
Tune in for Ronnie's perspective on how AI can help researchers test ideas faster, combine insights across disciplines, and make better choices about which problems to pursue. Read the episode transcript here.
Guest bio:
Aaron (Ronnie) Chatterji is OpenAI’s first chief economist. He is also the Mark Burgess & Lisa Benson-Burgess Distinguished Professor at Duke University. He served in the Biden administration to implement the CHIPS and Sciences Act and was acting deputy director of the National Economic Council. Before that, he was chief economist at the Department of Commerce and a senior economist at the White House Council of Economic Advisers. He also previously taught at Harvard Business School, worked at Goldman Sachs, and was a term member of the Council on Foreign Relations. Chatterji is on leave as a research associate at the National Bureau of Economic Research. He holds a Ph.D. from University of California, Berkeley and a B.A. in economics from Cornell 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.
AI isn’t taking jobs — it’s changing what jobs are. On today’s episode, GeekWire’s Todd Bishop joins host Sam Ransbotham to dive into how artificial intelligence is reshaping work, learning, and creativity — not by replacing humans but by amplifying what we can do.
From classrooms where students use AI on exams to newsrooms rethinking how news stories get written, they explore the opportunities (and headaches) of this new era. It’s a smart, funny, and refreshingly real look at how we’re all learning to work with our newestcoworker — artificial intelligence. Read the episode transcript here.
Guest bio:
Todd Bishop is cofounder of GeekWire, the Seattle-based business and technology news site, where he covers topics like AI, Microsoft, and Amazon, in addition to hosting a weekly podcast.
A native of Orland, California, the longtime journalist previously worked at The Philadelphia Inquirer, Puget Sound Business Journal, and the Seattle
Post-Intelligencer.
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.
Vishal Gupta, engineering manager, machine learning at Reddit, joins the podcast to explain how the social media community platform uses artificial intelligence to improve user experience and ad relevance. Much of the advertising work relies on increasingly sophisticated recommender systems that have evolved from simple collaborative filtering to deep learning and large language model–based systems capable of multimodal understanding.
Vishal and Sam also explore the philosophical and ethical aspects of
AI-driven platforms. Vishal emphasizes the importance of balance —
between exploration and exploitation in recommendations, between
advertiser goals and user experience, and between human- and
machine-generated content. He argues that despite the rise of
AI-generated material, authentic human conversation remains vital and
even more valuable as models depend on it for training. Read the episode transcript here.
Guest bio:
Vishal Gupta is a seasoned engineering leader who leads multiple
artificial intelligence and machine learning teams at Reddit in the ads
domain. He has a decade of experience working on cutting-edge machine
learning techniques at companies like DeepMind, Google, and Twitter.
Gupta is passionate about applied AI research that significantly
contributes to a company’s top and bottom lines.
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.
Kathleen Peters brings a background with digital communications companies and tech startups to her role as Experian’s chief innovation officer. On this episode, Kathleen shares a bit about Experian’s Innovation Lab, outlining some of its projects and explaining how the recent democratization of generative AI tools has made even more innovative thinking possible, both for tech experts and for contributors who have other core competencies. Read the episode transcript here.
Guest bio:
As Experian’s chief innovation officer, Kathleen Peters explores new ways to solve market challenges in identity, risk, and fraud detection. She and her team define business strategies and investment priorities while incubating new products, analyzing industry trends, and leveraging the latest technologies to bring ideas to life.
Peters joined Experian in 2013 to lead business development and global product management for its newest fraud products. She later led its Fraud &
Identity business in North America until being named chief innovation officer for decision analytics in 2020. Peters has twice been named a “Top 100 Influencer in Identity” by One World Identity (now Liminal), which annually recognizes influencers and leaders in the identity space.
Peters is regularly quoted in prominent media outlets, including Forbes and Bloomberg, and she frequently shares her insights on innovation, AI, and fraud prevention at industry events.
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.
Cisco is well known for its data, networking, security, and collaboration products. On today’s episode, Cisco’s president and chief product officer, Jeetu Patel, joins Sam for a discussion about artificial intelligence, a “megatrend” Jeetu sees as perhaps more significant than the development of the internet or the automobile because of its ability to build on past technological advances.
Jeetu and Sam discuss how to manage AI and how to staff for it — Jeetu argues that replacing less experienced or younger workers with technology deprives organizations of key perspectives and new ideas, and instead advocates for developing reverse-mentoring programs inside organizations. Read the episode transcript here.
Guest bio:
Jeetu Patel, Cisco’s president and chief product officer, combines product design and development expertise, operational rigor, and market understanding to create high-growth businesses. He is tasked with building world-class products to solve customers’ problems, and connect and protect every aspect of their organization in the AI era. Previously a general manager at Cisco, he led the strategy and development of its Security and Collaboration businesses.
Before Cisco, Patel was the chief product officer and chief strategy officer at cloud content management company Box. He’s also held roles at EMC, including chief executive of its Syncplicity business unit, CMO for the Information Intelligence Group, and chief strategy officer. He currently serves on the board of JLL, a commercial real estate services company. Jeetu has a bachelor’s degree in information decision sciences from the University of Illinois at Chicago, and lives in the San Francisco Bay Area.
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.
A chemical engineer by training, Angela Nakalembe worked in the sciences and management consulting before landing at YouTube as the company’s engineering program manager for trust and safety.
At YouTube, Angela explains, AI has become a first line of defense against harmful content. The technology not only accelerates content moderation tasks but makes the process more humane, by filtering out problematic content before it reaches a human reviewer. To combat the proliferation of AI-generated content that may be hard to discern from assets created by humans, YouTube, its parent company Google, and others have joined the Coalition for Content Provenance and Authenticity Alliance to establish standards for the origin of content they observe. Also on today’s episode, Angela shares some personal experiences using large language models (LLMs) and Google’s own AI tools to illustrate how she sees individuals using AI in the future. Read the episode transcript here.
Guest bio
Angela Nakalembe is an operations leader, internet safety expert, and advocate for responsible AI development. As an engineering program manager at YouTube, she leads strategic initiatives focused on protecting billions of users through innovative safety features and risk mitigation strategies, work that has earned multiple Google product excellence awards. Nakalembe developed her strategic expertise as a management consultant, when she supported multimillion-dollar technology migrations for Fortune 50 companies. She currently provides mentoring through TechWomen, a U.S. Department of State initiative creating the next generation of women technology leaders worldwide, and she teaches yoga.
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.
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.
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.
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.
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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.
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.
Many of us know Goodwill Industries International as a retailer that accepts and resells donated goods. What the average consumer may not know is that the nonprofit takes in over 5 billion pounds of goods each year — and not all of it can be resold. For those unwanted or unviable items, the organization can either look into recycling or upcycling, and with the help of AI, it’s able to efficiently make that determination while also improving its process for sorting and allocating sellable goods for different retail channels.
Additionally, Goodwill helps its workforce with career-development skills. Much of this training has been enhanced with AI. Tune in to this episode to hear directly from Goodwill CEO Steve Preston about how the organization is using technology to fulfill a mission that extends beyond the retail store. Read the episode transcript here.
Guest bio:
As president and CEO of Goodwill Industries International, Steven C. Preston leads a network of 153 local Goodwill organizations with a combined revenue of $8.2 billion. In addition to being a secondhand retail leader, Goodwill is a leading nonprofit provider of workforce training and development in North America.
Positioning the organization at the forefront of workforce development has been a top focus for Preston since he joined Goodwill in 2019. He has also forged partnerships with organizations focused on sustainable practices in the secondhand retail marketplace and developed mission-focused marketing efforts to elevate the Goodwill brand.
Previously, Preston served in numerous operational and financial leadership positions in both the public and private sectors. After heading the U.S. Department of Housing and Urban Development and the Small Business Administration, he led successful turnarounds as the CEO of Oakleaf Global Holdings and Livingston International. He also served as the CFO of Waste Management and ServiceMaster.
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.
In today’s episode, Chandra Kapireddy, head of generative AI, machine learning, and analytics at Truist, delves into the evolving landscape of AI with a particular focus on how GenAI tools reshape the way Truist and similar organizations must navigate model risk management and regulations. GenAI is more versatile than traditional AI, he notes, yet its flexibility introduces new challenges around ensuring model reliability, validating outputs, and making sure that AI-driven decisions don’t lead to unfair or opaque outcomes.
Chandra’s responsible AI approach at Truist is focused on risk mitigation while emphasizing the importance of human oversight in high-stakes decision-making. He points out that while GenAI can vastly improve productivity by handling repetitive or analysis-heavy tasks, it’s essential to properly train employees in order to use the tools effectively and not over-rely on their outputs, especially given their tendency to hallucinate or produce inaccurate results. Read the episode transcript here.
Guest bio
Chandra Kapireddy is head of generative AI, machine learning, and analytics, at Truist. He brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams to the financial services firm. Kapireddy has held key leadership positions at some of the industry’s leading companies, including Capital One, Wells Fargo, Bank of America, Oracle, and Amazon Web Services. Most recently, he served as managing director and head of AI/ML products for JPMorgan Chase, where he served on the firm’s AI Executive Council, which influences its strategy, products, controls, and governance.
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.
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.
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 <cite>Me, Myself, and AI</cite> 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.
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.
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.
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.
