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PodcastEconomiaMe, Myself, and AI

Me, Myself, and AI

MIT Sloan Management Review
Me, Myself, and AI
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  • Personalization and Innovation in a Regulated Industry: Experian’s Kathleen Peters
    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.
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  • Never Fight a Megatrend: Cisco’s Jeetu Patel
    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.
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  • Protection, Provenance, and Prompts: YouTube’s Angela Nakalembe
    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.
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  • Challenging the Average With Open-Source AI: Hugging Face’s Thomas Wolf
    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.
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  • Feed Drop: MIT CSAIL Alliances Podcast
    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.
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Su 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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