31 episodes

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

Me, Myself, and AI MIT Sloan Management Review and Boston Consulting Group (BCG)

    • Technology
    • 5.0 • 69 Ratings

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

    Transforming Transactions With Technology: eBay’s Nitzan Mekel-Bobrov

    Transforming Transactions With Technology: eBay’s Nitzan Mekel-Bobrov

    eBay is familiar as an e-commerce site that facilitates transactions between buyers and sellers. But as eBay’s first chief AI officer, Nitzan Mekel-Bobrov is focused on the role artificial intelligence technology can play in enhancing the user experience for everyone who engages with the platform.
    In this episode, Nitzan shares examples of the AI tools eBay is building, such as a 3D visualization tool for sellers create their own models, and intent detection tools to enhance customer service. He also discusses his academic background in biology and neuroscience, his purposeful progression from health care to financial services to online travel and finally to e-commerce, and the challenges of scaling up AI capabilities organizationwide to drive transformational value. 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 coordinating producers are Allison Ryder and Sophie Rüdinger.
    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.
    Guest bio:
    Nitzan Mekel-Bobrov is chief AI officer at eBay. He leads the company’s vision and strategy for transforming how it delivers value to sellers and buyers around the globe through AI-led experiences, such as semantic recommenders, reasoning systems, visual understanding, and immersive visual experiences. Mekel-Bobrov has led the AI organizations at some of the largest brands in health care, financial services, and e-commerce, spanning AI science, engineering, and product development. He holds a doctorate in computational genomics and a master’s degree in computer science from the University of Chicago.
    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.
     

    • 25 min
    The Collaboration Muscle: LinkedIn’s Ya Xu

    The Collaboration Muscle: LinkedIn’s Ya Xu

    Over the course of her nine-year tenure at LinkedIn, Ya Xu has held technology roles with increasing responsibility. Today, she heads the data function for the online professional networking platform.
    Ya joins hosts Sam and Shervin in this episode to discuss AI’s essential role in helping LinkedIn create the best “matches” — content creators with content consumers, job seekers with employers, and buyers with sellers — within its three key marketplaces. Ya also describes how the company has fostered a data-first culture from the top down, and how its vast amount of economic activity data is helping governments and policy makers worldwide. 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 coordinating producers are Allison Ryder and Sophie Rüdinger.
    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.
    We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

    Guest bio:
    Ya Xu has been a driving force in transforming LinkedIn into a data-first company since she first joined the organization in 2013. As head of data, she leads a global team of about 1,000 data scientists and AI engineers whose work is at the core of delivering economic opportunities to LinkedIn’s members and customers. Xu’s emphasis on responsible AI and data science ensures that LinkedIn’s AI systems put people first and enables the company to empower its members, better serve its customers, and benefit society.
    In addition to her work at LinkedIn, Xu has coauthored the book Trustworthy Online Controlled Experiments (Cambridge University Press, 2020), has been named to Fortune’s 40 under 40 in tech, and was nominated for VentureBeat’s Women in AI Awards. She has delivered countless speeches, including a commencement speech to Stanford’s class of 2019 in mathematics, statistics, and mathematical and computational science. Previously, Xu worked at Microsoft and earned a Ph.D. in statistics from Stanford University

    • 29 min
    Turning Sound Into Information: Warner Music Group's Kobi Abayomi

    Turning Sound Into Information: Warner Music Group's Kobi Abayomi

    Specialized teams — particularly technology teams — often face challenges as they strive to work cross-functionally, especially at legacy organizations. For Kobi Abayomi, vice president of data science at Warner Music Group, addressing such challenges starts with hiring strong talent into the technology function.
    In this episode, Kobi joins Sam and Shervin to explain how the music company is moving its infrastructure into the digital era, how it leverages vast amounts of consumer data to make informed decisions in an increasingly challenging landscape, and how AI is helping customers discover new music they’ll love. Read the full 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 coordinating producers are Allison Ryder and Sophie Rüdinger.
    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.
    Guest bio:
    Kobi Abayomi is the senior vice president for data science at Warner Music Group, where he and his team enable the company to understand, respond to, and predict trends and opportunities in listening.
    Abayomi has authored novel work in statistics (multivariate data imputation), econometrics (measures of inequality), and probability (distributions with fixed marginal and information theoretic measures) and has two patents pending in fraud detection and audience activation. Abayomi serves on the Data Science Advisory Council at Seton Hall University and on the Ivan Allen College Advisory Board at the Georgia Institute of Technology.
    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

    • 25 min
    From Journalism to Jeans: Levi Strauss & Co.’s Katia Walsh

    From Journalism to Jeans: Levi Strauss & Co.’s Katia Walsh

    Katia Walsh began her career as a journalist in her native Bulgaria and is now the global chief strategy and AI officer at retailer Levi Strauss & Co. Over the course of her career, she has developed a passion for three things: the power of information, the power of technology, and the power of machine learning. Her enthusiasm for these subjects is evident as she describes how she is ensuring that a well-known legacy clothing brand remains relevant through technological transformation.
    In this episode, Katia explains how she has organized digital transformation and employee engagement at Levi Strauss around five C’s: connections with consumers, commerce, creation, careers, and culture. She also describes the machine learning boot camps the retailer has offered to nontech employees to boost innovation and outlines how the company thinks about responsible AI practices. 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 coordinating producers are Allison Ryder and Sophie Rüdinger.
    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.
    Guest Bio:
    Katia Walsh is senior vice president and chief global strategy and AI officer at Levi Strauss & Co., where she focuses on setting the clothing company’s holistic digital and corporate strategy. Previously, she was the first chief global data and analytics officer of Vodafone Group and held strategic data analytics leadership positions at Prudential Financial, Fidelity Investments, and Forrester Research. Walsh was named the U.K.’s Data Leader of the Year for three consecutive years by the Women in IT Awards series. She holds a doctoral degree in strategic communication from the University of Missouri-Columbia.

    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

    • 29 min
    AI in Your Living Room: Peloton’s Sanjay Nichani

    AI in Your Living Room: Peloton’s Sanjay Nichani

    Consumers have invited AI into their lives with voice-activated personal assistants like Siri and Alexa, but how do they feel about computer vision technologies that can provide visual coaching and feedback in their homes? Sanjay Nichani, vice president of artificial intelligence and computer vision at Peloton Interactive, describes one compelling use case in the at-home fitness space.
    Sanjay joins hosts Sam and Shervin in this episode to discuss how the company best known for its bikes and treadmills relied on AI and computer vision to develop Peloton Guide, a new offering that uses AI to coach at-home participants through strength-focused workouts. He also describes how Peloton approaches developing new technology-infused products with user experience and data privacy in mind, and outlines what he looks for in technical talent. Read the full 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 coordinating producers are Allison Ryder and Sophie Rüdinger.
    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.
    Guest bio:
    Sanjay Nichani is vice president of artificial intelligence and computer vision at Peloton Interactive. In that role, he leads an AI/computer vision team focused on human pose estimation, activity recognition, and movement-tracking technologies for the fitness domain. He also leads the ongoing development of Peloton Guide, a new camera-based interactive strength-training product.
    Previously, Nichani was vice president of the computer vision and machine learning team at Acuant, working on document forensics technologies for detecting fraud. Before that, he was vice president of the Mitek Labs R&D group, where he led the development of a deep learning-based image-processing pipeline for identity verification. He also founded 3D sensor technology company Merakona and cofounded Pelfunc, developer of a photo-sharing app/service. He has advanced degrees in business from Babson College and computer science from the University of South Florida.

    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

    • 21 min
    Extreme Innovation With AI: Stanley Black and Decker's Mark Maybury

    Extreme Innovation With AI: Stanley Black and Decker's Mark Maybury

    Stanley Black & Decker is best known as the manufacturer of tools for home improvement projects, but it also makes products the average consumer seldom notices, like fasteners to keep car parts secure and the electronic doors typically used at retail stores. Hosts Sam and Shervin sat down with Mark Maybury, the company’s first chief technology officer, to learn how artificial intelligence factors into this 179-year-old brand’s story.
    During their conversation, Mark described how categorizing the technology-infused innovation projects he leads across the company into six levels, ranging from incremental improvements to radical innovations, helps Stanley Black & Decker balance its product development portfolio. He also shared some insights for organizations thinking about responsible AI guidelines and discussed how Stanley Black & Decker is increasing its focus on sustainability. Read the full 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 coordinating producers are Allison Ryder and Sophie Rüdinger.
    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.

    Guest bio:
    As Stanley Black & Decker’s CTO, Mark Maybury manages a team across the company’s businesses and functions, advises on technological threats and opportunities, and provides access to all elements of the global technology ecosystem.
    Previously, Maybury spent 27 years at The Mitre Corporation, where he held a variety of strategic technology roles, including vice president of intelligence portfolios and chief security officer. Before joining Mitre, he was an officer in the U.S. Air Force, where he also served as chief scientist from 2010 to 2013.
    Maybury is on the Defense Science Board and the Connecticut Science Center Board and served on the Air Force Scientific Advisory Board and the Homeland Security Science and Technology Advisory Committee for several years. He is a fellow in IEEE and the Association for the Advancement of Artificial Intelligence. Maybury has a doctorate degree in AI from Cambridge University.

    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

    • 30 min

Customer Reviews

5.0 out of 5
69 Ratings

69 Ratings

Paul-Nor ,

Turning sound into information: Warner Music Group’s Dr Kobi Abayomi

Extremely informative and thought provoking… Enjoyed listening to your recent guest Dr Kobi Abayomi. Me Myself and AI guests deliver perspectives and experiences that are relative to our daily lives, a regardless of subject and give thought to the future. This is an excellent platform. Thank you. I am thirsty for more.

Freeeeeze amf ,

Great content!!

Fantastic learning and amazing guests. Whether you are in the industry or just want to learn more you can find something here you will enjoy. There is truly something here for everyone to learn from. Anxiously awaiting season 3!!!!

md.jonathan ,

Me, myself and AI

This podcast is great for a thoughtful approach to AI. The guests are remarkable and the hosts incredibly knowledgeable.

The podcast has been helpful to me, a novice interested in ai applications in medicine even though most episodes have been on other topics. There is a lot to be learned from the use of ai in business and other applications.

I look forward to the fall season.

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