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 &

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

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

Guest bio

Julian Adams, president and CEO of Stand Up To Cancer, is among the world’s foremost oncology researchers. He was previously CEO of biopharmaceutical company Gamida Cell and president of R&D at Infinity Pharmaceuticals, where he oversaw development of small molecule drugs to treat cancer. He has also held roles at Millennium Pharmaceuticals, Boehringer Ingelheim, LeukoSite, and ProScript.

Adams’s recognitions include the 2012 Warren Alpert Foundation Prize for his role in the discovery and development of bortezomib, an anti-cancer drug; the 2012 C. Chester Stock Award Lectureship from Memorial Sloan Kettering Cancer Center; and the 2001 Ribbon of Hope Award for Velcade from the International Myeloma Foundation. He holds more than 40 patents and has authored more than 130 papers and book chapters. He received his bachelor’s degree and an honorary doctor of science degree from McGill University and his Ph.D. from MIT in synthetic organic chemistry.

Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder.

Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

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.