42 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
    • 4.9 • 73 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.

    Digital First, Physical Second: Wayfair’s Fiona Tan

    Digital First, Physical Second: Wayfair’s Fiona Tan

    With a background in building enterprise platforms for organizations, including Oracle and Walmart, Wayfair CTO Fiona Tan oversees all of the technology initiatives for the Boston-based e-commerce company. As the home furnishings retailer begins to open brick-and-mortar stores, it’s taking lessons learned from the digital space to inform how it markets its home products to customers in physical locations.
    On this episode, Fiona joins Sam and Shervin to discuss how artificial intelligence fuels nearly everything the retailer does, from ad purchasing to product pricing, and where human decision makers fit in. She also describes how AI enables Wayfair’s marketing automation technology, as well as some innovative new programs underway to help customers experience the company’s products virtually. Read the episode transcript here.
    Read the 2022 MIT Sloan Management Review-BCG Artificial Intelligence and Business Strategy report here: sloanreview.mit.edu/ai2022.
    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:
    Fiona Tan is the chief technology officer at Wayfair, where she oversees a global innovation team responsible for creating market-leading experiences through the home furnishings retailer’s world-class e-commerce platform. Before joining Wayfair, Tan served as senior vice president of U.S. technology at Walmart, where she was responsible for innovation and engineering execution spanning its site, mobile app, and all associate and merchant-facing technology across its e-commerce business and retail stores in the United States.
    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.

    • 23 min
    Investing in the Last Mile: PayPal’s Khatereh Khodavirdi

    Investing in the Last Mile: PayPal’s Khatereh Khodavirdi

    Khatereh (KK) Khodavirdi is focused on using AI to create better customer experiences — a process she compares to creating an “AI Legoland,” in which various technology components fit together to build cohesive solutions for PayPal’s customers. This is an approach she is applying in her role as senior director of data science in the online payment systems company’s consumer products division, where she oversees data science teams for PayPal, its peer-to-peer payment app Venmo, and e-commerce coupon-finder Honey.
    On this episode, KK joins Sam and Shervin to describe how PayPal’s various consumer products work together to help users have a seamless experience across its products. She also talks about AI’s role in further personalizing the customer experience across the company’s brand portfolio, data governance challenges following corporate acquisitions, and her approach to creating effective teams. 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:
    In her role as senior director of data science, Khatereh Khodavirdi leads a cross-functional team of data scientists, analytics experts, and strategists to help accelerate revenue growth through data and insights for PayPal, Venmo, and Honey. She was a founding member of eBay’s advertising data team and has spent her career building analytics functions to accelerate growth initiatives in commerce, advertising, monetization, and digital payments, with increasing levels of responsibility.
    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
    Keeping Humans in the (Feedback) Loop: Orangetheory Fitness’s Ameen Kazerouni

    Keeping Humans in the (Feedback) Loop: Orangetheory Fitness’s Ameen Kazerouni

    Ameen Kazerouni, chief data and analytics officer at Orangetheory Fitness (OTF), believes that AI’s role isn’t to replace human experts but rather to help them make better decisions. That’s why OTF collects heart rate and telemetry data during its in-studio fitness classes: so that AI algorithms can turn that data into feedback that empowers people to make real-time choices about their workouts and enables coaches to offer personalized recommendations.
    On this episode, Ameen joins Sam and Shervin to describe how OTF’s data collection and algorithms are used to create a curated fitness experience for its members, and he explains why it’s critical to keep humans in the feedback loop when implementing artificial intelligence. 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:
    Ameen Kazerouni is chief data and analytics officer at Orangetheory Fitness. Over the course of his career, Kazerouni has had the opportunity to use machine learning in a variety of fields, including clinical research, medical imaging, data warehouse design, e-commerce, and now health and wellness. He is currently focused on the challenges of operationalizing large volumes of data into scalable customer solutions and strategic initiatives.
    A core belief of his is to “build experiences, not algorithms,” which drives his team to put forward scalable solutions with measurable impact on real-world use cases. In his free time, Kazerouni enjoys keeping up to date with the latest methods in artificial intelligence and the newest comedy specials on Netflix, burning his savings on expanding his smart home, and marching down the path of becoming bionic by quantifying himself with any and all wearable fitness tech.
    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.

    • 24 min
    The Three Roles of the Chief Data Officer: ADP’s Jack Berkowitz

    The Three Roles of the Chief Data Officer: ADP’s Jack Berkowitz

    As chief data officer of payroll and benefits management company ADP, Jack Berkowitz has three primary responsibilities. One is to oversee the organization’s data overall, ensuring that functions like data governance, security, and analytics, are running well. Another is to build ADP’s data products, such as people analytics and benchmark tools. But the responsibility that’s of most interest to our hosts is Jack’s oversight of the organization’s use of artificial intelligence.
    In this episode of the podcast, Jack describes how focusing on the outcomes the organization wants to achieve leads to better processes and results. He also dives into the topic of AI ethics and outlines how other organizations might consider assembling an AI ethics board. 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:
    Jack Berkowitz is chief data officer at ADP, where he leads the company’s data security and governance, data platforms, and analytics/machine learning operations. His role also involves partnering with stakeholders to develop new data initiatives to improve clients’ experience and ADP’s competitive position.
    Berkowitz joined ADP in 2018 as the senior vice president of product development for the DataCloud people analytics and compensation benchmarking solution. Before that, he was vice president of products and data science for Oracle’s Adaptive Intelligence program. Previously, he spent 20 years in product development and the implementation of intelligent information systems. He has been on the executive team of four startups involved in search, reasoning, or metadata-driven applications, and he cofounded Edapta, which enabled dynamic user interfaces and personalization for mobile and web clients.
    Berkowitz has a master’s degree in industrial engineering and operations research from Virginia Tech and a bachelor’s degree in psychology from the College of William and Mary.
    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.

    • 24 min
    From Data to Wisdom: Novo Nordisk’s Tonia Sideri

    From Data to Wisdom: Novo Nordisk’s Tonia Sideri

    Tonia Sideri was a data scientist herself before taking on her role as head of Novo Nordisk’s AI and Analytics Center of Excellence. Now she’s putting her experience to use helping the Danish pharmaceutical company in its quest to develop medicines and delivery systems to treat diabetes and other chronic diseases, such as hemophilia, obesity, and growth disorders.
    In a highly regulated industry where failures are costly, Tonia’s philosophy is to fail fast through what she calls “data-to-wisdom sprints.” These two-week hackathons enable her group to rapidly test the feasibility of new product ideas with input from their colleagues on the business side.
    Tonia joins this episode to discuss her team’s approach to hypothesis testing, the benefits of incorporating design thinking into building data and AI products, and why she believes empathy is the most important skill a data scientist can have.
    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:
    Tonia Sideri is head of the AI and Analytics Center of Excellence (CoE) at Novo Nordisk, a global pharma company based in Denmark that develops diabetes care products, as well as solutions that target other chronic diseases, such as obesity, growth disorders, and hemophilia.
    The CoE is a group of data scientists, machine learning engineers, and software developers located within Novo Nordisk’s Global IT group who work cross-functionally with the company’s machine learning/analytics systems and its machine learning operations platform.
    Sideri was a data scientist before taking on a management role. She has years of experience in startup incubators and corporate transformation labs, where she helped unlock the potential of data across the banking, pharma, and biotechnology industries and across a variety of business models, including B2C, B2B, and digital native vertical brands.
    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.

    • 26 min
    Big Data in Agriculture: Land O’Lakes’ Teddy Bekele

    Big Data in Agriculture: Land O’Lakes’ Teddy Bekele

    You might have seen Land O’Lakes’ dairy products on store shelves without giving much thought to how they got there, but that’s something CTO Teddy Bekele thinks about every day. While the farmers and agricultural retailers of Land O’Lakes work to produce the cooperative’s products, starting from the seeds used to grow animal feed, Teddy Bekele is focused on supporting agriculture’s “fourth revolution” — one that’s embracing technologies like artificial intelligence. On this episode of the Me, Myself, and AI podcast, Teddy explains how Land O’Lakes uses predictive analytics and AI to help farmers and other agricultural producers be more productive and make better decisions about the business of farming. 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.
    Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai.
    Guest bio:
    Teddy Bekele is the CTO of Land O’Lakes, leading the organization’s digital transformation by leveraging existing and emerging technologies to discover, implement, and deliver solutions and ecosystems. Previously, Bekele served as vice president of ag technology for WinField United. Bekele holds an MBA from Indiana University and a bachelor of science degree in mechanical engineering from North Carolina State University. His community leadership includes serving as chair of the Minnesota Broadband Task Force and the Federal Task Force on Precision Ag Connectivity, and as a board member for Stella Health, Genesys Works Twin Cities, and the Minnesota Technology Association.

    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

Customer Reviews

4.9 out of 5
73 Ratings

73 Ratings

Arlie K ,

Don't miss this one!

I always learn so much every time I listen! Me, Myself, and AI is a can't-miss resource for anyone looking to discover the latest in artificial intelligence and technology. So excited about the work happening here!

scottbundgaard ,

Substance would be enriching

I was looking forward to listening to all 40 episodes to date, but after the first few, I won’t waste any more time. The content is largely high level and lacks substance for those who want to apply key learnings to some endeavor.

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.

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