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.

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.

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.

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.

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.

Stéphane Lannuzel has worked in the beauty industry for 15 years and now directs the Beauty Tech program at L’Oréal. His team uses artificial intelligence to improve customer experience in a variety of ways, including helping them try on cosmetics virtually and providing product recommendations. L’Oréal recently developed TrendSpotter, an AI-based social listening tool that tracks macro-influencer posts and other online content and informs the cosmetics, skin care, and hair products company of upcoming trends that can then inform new product development. Listen to this episode to learn how Stéphane sees AI, and technology more broadly, as a force of good and the enabler of more meaningful professional and customer experiences. 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:Stéphane Lannuzel is director of L’Oréal Groupe’s Beauty Tech program, which aims to personalize the customer experience through technology. He started his career in project finance in Australia at Caisse des Dépôts et Consignations, a large French bank, after graduating from École Nationale des Ponts et Chaussées (Paris) and Imperial College (London). He then spent seven years with Kearney, a consulting firm specializing in the luxury and consumer goods industries.For the past 15 years, Lannuzel has been working in the beauty industry, first for Shiseido and then for L’Oréal, where he has been for the past seven years. He has held various positions in the role of operations director, most recently serving as chief digital officer in charge of Operations 4.0, a large-scale digital and tech transformation program within L’Oréal Operations. Lannuzel is also a member of the GS1 management board.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.

Frank Nestle, Sanofi’s global head of research and chief scientific officer, was inspired to enter the health sciences field after reading an Albert Camus novel and realizing his calling was to help others. In his current role, Frank oversees the pharmaceutical company’s transition from primary care to specialty care, which includes developing medicines for immunology, oncology, and rare diseases. In this episode, Frank explains how artificial intelligence enables Sanofi to work toward drug discovery in more agile ways. 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:Dr. Frank O. Nestle is global head of research and chief scientific officer at Sanofi, with responsibility for its main therapeutic research areas of immunology and inflammation, oncology, neurology, rare diseases, hematology, and genomic medicine. Before joining Sanofi in 2016, Nestle was a professor and chair of cutaneous medicine and immunotherapy at King’s College London and practiced medicine at Guy’s and St. Thomas’ Hospital. At King’s College, he led research, translational clinical trials, and teams in dermatology, allergology, and immunology. He also held several executive roles, in particular at the Guy’s and St Thomas’ Biomedical Research Center.Nestle is a fellow of the Academy of Medical Sciences, a senior investigator emeritus at the National Institute for Health Research, and past president of the Federation of Clinical Immunology Societies. He has published over 220 scientific articles and has received several awards and honors, including the Alfred Marchionini Research Award at the 20th World Congress of Dermatology.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.

Me, Myself, and AI returns on Tuesday, August 2. Hear what others are saying about the show — and leave us a review!(Your review comments may be used in Me, Myself, and AI materials.)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.

It might seem like cosmetics and perfume are products shoppers need to try out in person before buying, but artificial intelligence is opening up new avenues for reaching and understanding consumers — as well as new ways to manage supply chains.In this episode, we learn how Estée Lauder’s Sowmya Gottipati leveraged her earlier technology leadership experience in telecommunications and broadcast media to deploy brand technology projects for a portfolio of cosmetics, fragrances, and skin and hair care product brands. She talks about AI’s role in product development, a virtual try-on tool for lipsticks and foundations, and a fragrance recommendation engine, as well as an application for supply and demand planning. Sowmya also explains why, despite AI’s power, she believes human-machine interaction will always be necessary. Listen to 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.Watch Shervin Khodabandeh's recent TED talk on human-machine collaboration here.Guest bio:Sowmya Gottipati is an accomplished business and technology leader who has managed and delivered products across the telecom, media, and retail industries. She is currently vice president of global supply chain technology at Estée Lauder, leading digital transformation and providing oversight of all technology solutions globally. Previously, she was the company’s vice president of technology in the capacity of brand CIO.Before joining Estée Lauder, Gottipati was vice president of digital and emerging technologies at NBCUniversal. She also served as a technology leader at AT&T, where she managed and delivered products in data, web, mobile, and cloud services. Gottipati has a master’s degree in engineering from North Carolina State University and MBA from Columbia Business School, as well as a private pilot license.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.

As Boeing China’s regional director of airspace and airport programs, Helen Lee is helping the aerospace giant work toward improving airport and airspace operational efficiency and enhancing flight safety for its aviation customers. In this episode, Helen discusses ongoing research that involves using AI to analyze the wake turbulence of aircraft with computer vision systems, using speech recognition to analyze interactions between pilots and air controllers to minimize the potential for human error, and using image recognition to scan planes for needed repairs. Helen also talks about the challenges of implementing such technology across a complex industry in which there’s no tolerance for error and systems must be impenetrable to hackers. 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.Watch Shervin Khodabandeh's recent TED talk on human-machine collaboration here.Guest bio:Helen H. Lee is responsible for managing and coordinating Boeing’s airport, airspace, and air traffic management programs in the Greater China region. She also initiates and provides technical guidance and insight to related programs in the region. She is the first China-based employee to be selected as a Boeing Technical Fellow, the company’s most elite team of technical experts.Previously, Lee served as air traffic management (ATM) research lead for Boeing Research & Technology-China, where she planned and managed all ATM-related research projects involving Chinese domestic research partners. Before joining Boeing, she was a senior consultant at Boeing Jeppesen Airspace and Airport Services Group, where she led a project team that provided simulation and consulting services in support of major airport and airspace modernization efforts worldwide. Lee earned a doctoral degree in aerospace engineering from the University of Minnesota.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.