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Me, Myself, and AI

Technology Podcasts

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 NASA, Shopify, and others excited to do their jobs every day and what they consider the keys to their success.

Location:

United States

Description:

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 NASA, Shopify, and others excited to do their jobs every day and what they consider the keys to their success.

Language:

English

Contact:

6172537170


Episodes
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Building Connections Through Open Research: Meta’s Joelle Pineau

6/25/2024
Joelle Pineau’s curiosity led her to pursue a doctorate in engineering with a focus on robotics, which she describes as her “gateway into AI.” As vice president of AI research at Meta, Joelle leads a team committed to openness in the service of high-quality research, responsible AI development, and community contribution. In this episode, Joelle, who is also a professor at McGill University, weighs the advantages industry and academia each have for conducting artificial intelligence research. She also describes specific AI research projects Meta is working on, including scientific discovery initiatives focused on addressing societal problems like carbon capture. Read the episode transcript here. Guest bio: Joelle Pineau is vice president of AI research at Meta and a professor at McGill University. Her research focuses primarily on developing new models and algorithms for planning and learning in complex, partially observable domains. She also applies these algorithms to robotics, health care, games, and conversational agents. Pineau serves on the board of the and the . She has a bachelor’s degree in engineering from the University of Waterloo and master’s degree and doctorate in robotics from Carnegie Mellon University. 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 Andy Goffin. 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.

Duration:00:33:35

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Authoring Creativity With AI: Researcher Patrick Hebron

6/12/2024
If you’ve played with Photoshop’s Generative Fill feature or worked in Nvidia’s Omniverse platform, you’ve touched tools that Patrick Hebron’s work has made possible. A dual major in philosophy and film production, Patrick approaches creative pursuits with a deep curiosity and the belief that if a “tool gets used in exactly the way that we anticipated, then we have really failed catastrophically.” He believes that emerging digital design tools will elevate human creativity, and he aims to develop technology solutions that will empower creative end users to continue to push boundaries. On this episode, Patrick describes some of the technical challenges in building generative AI solutions for creative pursuits, as well as their vast potential. Read the episode transcript here. Guest bio: Patrick Hebron is a designer, software developer, teacher, and author. His work explores the intersection of machine learning, design tools, programming languages, and operating systems. In particular, he has focused on the development of AI-driven digital design tools. He founded the Machine Intelligence Design groups at Nvidia and Adobe and was vice president of R&D at Stability AI. He is the author of Machine Learning for Designers, published by O’Reilly Media, as well as numerous articles, including Rethinking Design Tools in the Age of Machine Learning and A Unified Tool for the Education of Humans and Machines. He has also worked as an adjunct graduate professor and scientist in residence at New York University. 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 Andy Goffin. 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.

Duration:00:28:52

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If 10% of the World Were Developers: GitHub’s Mario Rodriguez

5/28/2024
When Mario Rodriguez emigrated from Cuba to the United States at age 14 with his parents — a university professor, and a teacher turned electrical engineer — they had already instilled in him the value of education and a love of learning. That passion has guided him throughout his career — as a program manager with Microsoft; then as part of GitHub, following Microsoft’s 2018 acquisition of the developer platform; and as a cofounder of a charter school in North Carolina. Now, as senior vice president of product at GitHub, Mario oversees the team developing the GitHub Copilot AI-assisted software development tool. Mario joins this episode to share his views on product development, GitHub Copilot’s effect on productivity and job satisfaction, and a future in which more people can easily develop their own software. Read the episode transcript here. Guest bio: Mario Rodriguez leads the GitHub Product team as senior vice president of product. His core identity is that of a learner, and his passion is creating developer tools — so much so that he has spent the past 20 years in leadership roles across Microsoft and GitHub. His most recent work involves overseeing GitHub’s AI strategy and launching and growing the GitHub Copilot product line across thousands of organizations and millions of users. Rodriguez also cochairs a charter school that he cofounded in an effort to help progress STEAM (science, technology, engineering, arts, and mathematics) education in rural regions of the United States. 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 Andy Goffin. 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.

Duration:00:28:47

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AI Hype and Skepticism: Economist Paul Romer

5/14/2024
Paul Romer once considered himself the most optimistic economist. He rightfully predicted that technology would blow up as an economic driver coming out of the inflation of the 1970s but acknowledges he did not foresee the inequality that technology advances would lead to. On this episode, Paul shares his views on AI advances and their implications for society. Rather than pave the way for full automation, he is a proponent of keeping humans in the loop and believes that, rather than slowing down technology, it can be pointed in a direction for more meaningful and beneficial use, citing education as an area ripe to benefit from AI. 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 Andy Goffin. 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.

Duration:00:29:19

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Lights, AI, Action: Wonder Dynamics's Tye Sheridan

4/30/2024
Actor Tye Sheridan may not consider himself a technology expert, but his knowledge of visual effects (VFX) processes led him to cofound AI-driven startup Wonder Dynamics. With the company’s new product, Wonder Studio, creators can upload 2D video and transform it into 3D animations at a fraction of the cost of the motion-capture animation process typically used by Hollywood studios. Tye joins this episode to talk about the genesis of his company, plus he shares his views on artificial intelligence’s impact on creativity in the film industry and the opportunities it can offer creators. Read the episode transcript here. Guest bio: Tye Sheridan is an actor and producer who has appeared in a number of films, including and . In 2017, with Nikola Todorovic, he cofounded Wonder Dynamics, a technology company that’s creating AI-powered film production tools. Its proprietary AI software, Wonder Studio, uses artificial intelligence and machine learning to automatically animate, light, and compose computer-generated characters in live-action scenes. The company is on a mission to build AI tools that enable creators to produce studio-level visual effects and CGI-heavy content for a significantly lower cost than the traditional motion-capture process. 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 Andy Goffin. 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.

Duration:00:27:43

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Fashioning the Perfect Fit With AI: Stitch Fix’s Jeff Cooper

4/16/2024
Jeff Cooper parlayed his interest in neuroscience and human behavior into a career in data science and today works as a senior data science director for online retail subscription service Stitch Fix. Jeff joins Me, Myself, and AI to share how the company pairs human employees with intelligent technologies to keep up with customer preferences while realizing operational efficiencies. He also talks about how the company sustains extremely high feedback rates from consumers and how humans are training models, as well as vice versa, leading to interesting feedback loops. Read the episode transcript here. Guest bio: Jeff Cooper is a senior data science director at Stitch Fix, the global leader in personalized styling, where he oversees the Client Algorithms team, which develops models for product recommendations, style, and growth. He previously held data science leadership roles at Tradesy, FabFitFun, and Disney, as well as research roles in decision neuroscience at Caltech and Trinity College Dublin. Jeff has a Ph.D. in psychology from Stanford University. 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 Alanna Hooper. 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.

Duration:00:37:17

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Solving Real User Problems With Generative AI: Slack’s Jackie Rocca

4/2/2024
Like many product leaders in the technology space, Jackie Rocca took a somewhat circuitous path to that role. After beginning her career in management consulting with Bain, she earned her MBA at Stanford and then worked at Google, where she helped launch YouTube TV. Now, she serves as vice president of product at Slack, where she focuses on the collaboration platform’s Slack AI product. As a product leader, Jackie had continually heard from users that they were experiencing a common challenge: It was a struggle to keep up with the pace of information and prioritize where to focus their attention and energy. So she looked to AI as a potential source of solutions and is now leading a team that’s focused on launching AI-driven features to address user pain points. The Slack AI team’s work is already helping customers take advantage of the wealth of knowledge within Slack exchanges by providing features such as channel recaps, thread summaries, and the ability to ask questions to surface information that’s embedded within conversations. On this episode, Jackie describes how her team approaches new product design in the generative AI space and offers up some predictions for what lies ahead. Read the episode transcript here. Guest bio Jackie Rocca is vice president of product at Slack. In that role, she oversees the vision and execution of Slack AI, which brings generative AI natively and securely into the collaboration platform’s user experience. Rocca has delivered on a number of AI initiatives in her five years with the company and is now on a mission to help customers further accelerate their productivity and get even more value out of their conversations, data, and collective knowledge. Before joining Slack, Rocca spent more than six years as a product manager at Google, where she helped launch and grow YouTube TV. 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 Alanna Hooper. 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.

Duration:00:33:22

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Driving Manufacturing Efficiency With AI: Pirelli’s Daniele Petecchi

3/19/2024
Daniele Petecchi didn’t realize how complex the process of producing tires was until he joined Pirelli, a company that’s been in the business of manufacturing tires for more than 150 years. But now, as head of data management and AI, he’s focused on leveraging the company’s wealth of data to meet the stringent technical, quality, and performance requirements of the Formula One racers and luxury vehicle makers — like Ferrari, Lamborghini, and BMW — that rely on Pirelli’s premium tires. In this episode, Daniele explains why virtualization and data are key to managing the complexity of an R&D and production cycle that includes using digital twins to predict how a tire will sound on the road and maximizing efficiency at plants that manufacture millions of tires each year. Read the episode transcript here. Guest bio Daniele Petecchi is head of AI and data managementat Pirelli, where he leads critical initiatives that harness artificial intelligence technology to drive innovation and efficiency for the premium tire manufacturer. Petecchi earned his degree in telecommunications engineering, specializing in digital signal processing, which laid the foundation for his career in technology. He subsequently earned a Master of Science degree in information management, which equipped him with a strong strategic perspective. In 2018, he further reinforced his skill set by completing the General Management Program at ESCP Business School, enabling him to navigate the intricate intersection of technology and business. 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 Alanna Hooper. 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.

Duration:00:25:30

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Bonus Episode: How Can Organizations Better Measure and Manage Artificial Intelligence?

3/12/2024
On this bonus episode, we head to the World Bank offices in Washington, D.C., where hosts Sam and Shervin joined organizers Jonathan Timmis and Timothy DeStefano from the World Bank and Georgetown University’s McDonough School of Business for the day-long conference, “How is Artificial Intelligence Transforming Firms?” in December 2023. In our final of three bonus episodes derived from this event, we explore how AI has shifted policy discussions, and what new types of management are needed. This episode offers an abridged listen to the panel discussion; for the full session video, please visit the conference’s website. Guest Bios Carol Corrado is a distinguished principal research fellow, conference board & senior policy scholar at Georgetown University. Olivia Igbokwe-Curry is head of U.S. congressional and political affairs at Amazon Web Services. Scott Wallsten is president and senior fellow at The Technology Policy Institute. Nikolas Zolas is a former senior economist at the Center for Economic Studies at the U.S. Census Bureau. Sam Ransbotham is cohost of Me, Myself, and AI and a professor of analytics at Boston College. 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 Alanna Hooper. 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.

Duration:00:21:06

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Bonus Episode: Artificial Intelligence Podcasts With Jennifer Strong

2/27/2024
While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Jennifer Strong, longtime journalist and creator of the SHIFT podcast, joins Sam and Shervin to talk about their favorite Me, Myself, and AI episode Find the additional podcasts mentioned in the episode below: SHIFT podcast In Machines We Trust WSJ’s The Future of Everything Guest Bio: Jennifer Strong is an audio journalist covering the impact of AI on the way we live and work. She’s the creator of several tech podcasts for newsrooms, including ProPublica, The Wall Street Journal, and MIT Technology Review. Her podcast SHIFT, with the Public Radio Exchange, covers "the far-reaching impact of automation on our daily lives," according to Apple Podcasts. Her reporting has been widely recognized, including six Webby and three Podcast Academy Award nominations. Her narrative podcasts were finalists at the New York Festivals for the last two years, and a finalist for Podcast of the Year by The Drum Awards in London for a taping she did inside an experimental fighter plane. Strong has also produced a business show for NPR and reported on national security for PRI. She’s been a keynote stage host and moderator at the AI for Good Global Summit, The Future of Everything Festival, Web Summit, among others. 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 Alanna Hooper. 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.

Duration:00:28:58

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Bonus Episode: How Is Artificial Intelligence Transforming Manufacturing?

2/20/2024
On this bonus episode, we head to the World Bank offices in Washington, D.C., where hosts Sam and Shervin joined organizers Jonathan Timmis and Timothy DeStefano from the World Bank and Georgetown University’s McDonough School of Business for the day-long conference, “How is Artificial Intelligence Transforming Firms?” in December 2023. In our second of three bonus episodes derived from this event, we explore how AI is used in manufacturing. Sam hosts this panel featuring Shervin alongside Ness Shroff, director of the AI Edge Institute at Ohio State University, and Matthew Wilding, colead of U.S. Steel’s Digital & Artificial Intelligence Program. This episode offers an abridged listen to the panel discussion; for the full session video, please visit the conference’s website. Guest Bios Ness Shroff is director of the AI Edge Institute at Ohio State University. Matthew Wilding is colead of U.S. Steel’s Digital & Artificial Intelligence Program. Shervin Khodabandeh is cohost of Me, Myself, and AI and a senior partner at Boston Consulting Group. Sam Ransbotham is cohost of Me, Myself, and AI and a professor of analytics at Boston College. 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.

Duration:00:29:47

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Bonus Episode: Generative AI Trends for 2024 With Tom Davenport

2/6/2024
While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Tom Davenport, President’s Distinguished Professor of Information Technology and Management at Babson College, joins Sam and Shervin to talk about their predictions for AI trends in 2024. Find the additional studies and resources mentioned in the episode below: Tom Davenport’s articles with MIT SMR 2024 CDO Insights: Data & Generative AI(form required for download via AWS) Why Companies That Wait to Adopt AI May Never Catch Up What the data says about Americans’ Use of Artificial Intelligence (Pew Research) What do AI chatbots really mean for students and cheating? (Stanford Graduate School of Education) Randy Bean’s 2024 Executive Survey Guest Bio Thomas H. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford’s Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). 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.

Duration:00:29:19

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Bonus Episode: How Is Artificial Intelligence Transforming Retail Organizations?

1/30/2024
*New! for a limited time, please take our short listener survey. We value your feedback!* On this bonus episode, we head to the World Bank offices in Washington, D.C., where hosts Sam and Shervin joined organizers Jonathan Timmis and Timothy DeStefano from the World Bank and Georgetown University’s McDonough School of Business for the day-long conference, “How is Artificial Intelligence Transforming Firms?” in December 2023. In our first of three bonus episodes derived from this event, we explore how AI is used in retail in a discussion facilitated by Shervin featuring Walmart’s Prakhar Mehrotra (who you may remember from the very first episode of Me, Myself, and AI!) and Tapestry’s Fabio Luzzi. This episode offers an abridged listen to the panel discussion; for the full session video, please visit the conference’s website. Guest Bios Prakhar Mehrotra is corporate vice president, applied AI at Walmart. Fabio Luzzi is head of data and analytics at Tapesty. Shervin Khodabandeh is cohost of Me, Myself, and AI and a senior partner at Boston Consulting Group. 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.

Duration:00:24:25

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Punk Rock, the Peace Movement, and Open-Source AI: The Mozilla Foundation’s Mark Surman

1/17/2024
*New! For a limited time, please take our short listener survey. We value your feedback!* When Mark Surman produced a pro-peace public service announcement for his local TV station as a self-proclaimed “punk rock kid” in the 1980s, he wasn’t thinking about a future career evangelizing fair, equitable, and trustworthy technology access for everyone. But today, as president of the Mozilla Foundation, he is focused on exactly that. Mark went on to study filmmaking and has parlayed his communications expertise into technology leadership roles, where he has continued to work to “change hearts and minds by telling the truth.” On this episode, Mark shares his take on the roles of both big tech and startups in the responsible AI conversation and also describes a recent report on trustworthy AI from the Mozilla Foundation. Read the episode transcript here. Guest bio: Mark Surman is president of the Mozilla Foundation, a global nonprofit that does everything from developing the Firefox web browser to advocating for a more open, equitable internet. His current focus is fueling Mozilla’s efforts to invest in responsible tech startups (via Mozilla Ventures) and to create foundational technology for more trustworthy AI (via Mozilla.ai). Before joining Mozilla, Surman spent 15 years leading organizations and projects that promoted the use of the internet and open-source technology for social empowerment. 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.

Duration:00:34:16

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Making Magic With Gen AI: Capital One’s Prem Natarajan

1/3/2024
Growing up in a multilingual community, Prem Natarajan became interested in language at a young age. Eventually that interest, aptitude, and curiosity translated into an interest in machine learning and technical development, and today Prem works as the chief scientist and head of enterprise AI at financial services company Capital One. Prem joins this episode to share how Capital One’s technology teams are delivering value to customers by applying artificial intelligence in areas like fraud detection, how generative AI’s strengths stand to transform the developer experience, and why the right combination of product, science, and engineering expertise is key to successful AI and machine learning initiatives. Read the episode transcript here. Guest bio: As chief scientist and head of enterprise AI at Capital One, Prem Natarajan leads technology strategy, architecture, and development for the company’s enterprise data, analytics, and AI and machine learning initiatives, including advancing its AI capabilities, tools, and research efforts. Natarajan has more than two decades of experience leading science, technology, and commercialization efforts in natural language processing, speech recognition, computer vision, forecasting, and other applications of machine learning. 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.

Duration:00:28:53

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AI on Mars: NASA’s Vandi Verma

12/19/2023
When Vandi Verma saw the Spirit and Opportunity rovers land on Mars while she was working toward a Ph.D. in robotics, it set her on a path toward working at NASA in space exploration., Perhaps unsurprisingly, today, as chief engineer for robotic operations at Nasa’s Jet Propulsion Laboratory (JPL), Vandi sees the biggest opportunities for artificial intelligence in robotics and automation. She describes the ways in which the Mars rovers rely on AI, including the technology’s use in digital twin simulations that enable JPL scientists at to practice their driving skills before actually controlling the rovers on Mars. She also discusses how NASA’s use of AI — and its approach to risk — offer lessons for organizations that are looking to simulate real-world scenarios here on Earth. 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: Vandi Verma is a principal engineer and the deputy section manager for the Mobility & Robotics section at the NASA Jet Propulsion Laboratory. She also serves as chief engineer of robotic operations for the Mars 2020 Perseverance rover. She was previously the assistant section manager of the Mobility & Robotics section, the supervisor of the section staff group, and the supervisor of the Operable Robotics Group. Verma works on new robotics capabilities, including R&D; mission design; prototyping; flight development, testing, and launch; and landing and surface operations. She has been engaged in robotic operations on Mars since 2008 with the Mars Exploration Rover mission's Spirit and Opportunity, Curiosity rover, Perseverance rover, and Ingenuity helicopter. Before joining JPL, she led the NASA Ames Research Center team that developed PLEXIL (Plan Execution Interchange Language) for operating autonomous systems, as well as the development of technology that has been deployed on rovers and human spaceflight projects. Verma earned a Ph.D. in robotics from Carnegie Mellon University in 2005. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Duration:00:26:44

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Operational Safety With AI: Chevron's Ellen Nielsen

12/5/2023
Ellen Nielsen, Chevron’s first chief data officer, sees data as the common thread throughout a career that has spanned systems, digital data, procurement, and supply chain. In her current role, she applies what she’s learned to Chevron’s wide-ranging AI and machine learning initiatives, including the use of robots and computer vision to inspect tanks, digital twins to simulate operations, and sensors to monitor equipment in refineries. On this episode, Ellen shares examples of the integrated energy company's use cases for machine learning and generative AI, and she describes the company’s citizen development program, which puts safe, secured AI and machine learning tools in the hands of employees throughout Chevron. 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: Ellen Nielsen is the chief data officer at Chevron, where she focuses on creating a data-oriented culture partnered with value-chain thinking. A multidisciplinary leader, Nielsen has over 30 years of global experience as an executive in IT, digital, data, procurement, and supply chain. She has worked with industry leaders in oil and gas, fast-moving consumer goods, automotive, manufacturing, retail, and banking and insurance. Nielsen is a regular speaker at industry events and has received numerous awards and recognitions, including being named to CDO Magazine’s 2023 Global Data Power Women list. She was also ranked fifth on the 2023 DataIQ 100 list of the most influential people in data in the United States. She also serves on a variety of boards, including PIDX (Petroleum Industry Data Exchange) International and Women Leaders in Data & AI. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Duration:00:35:13

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Micro Utility With Gen AI: Shopify's Miqdad Jaffer

11/21/2023
Miqdad Jaffer brings a background in engineering to his role as director of product for digital marketplace platform Shopify. Users might recognize the commerce platform as one that enables a fast and secure online checkout experience. On the merchant side, Shopify enables business owners to set up e-commerce sites where they can list and sell their products. Using generative AI, the platform also now offers merchants the ability to complete administrative tasks much more quickly, including writing product descriptions and customizing their sites. As Miqdad explains, a key to enhancing Shopify’s offerings with generative AI technology is ensuring that users always remain in control. He shares Shopify’s approach to doing this while incorporating cutting-edge tools to help entrepreneurs start, operate, and grow their businesses more efficiently. Read the episode transcript here. Guest bio: Miqdad Jaffer is the director of product for Shopify, where he is responsible for the oversight and development of the company’s AI-powered offerings. He joined the company in 2018 and has overseen the launch of Shopify Magic, its suite of AI-powered tools, and Shop.AI, an AI-powered shopping assistant. Before joining Shopify, Jaffer was the director of product management for the mobile consumer marketplace app Flipp. He has more than 15 years of product development and oversight experience. 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.

Duration:00:35:16

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Marketing With Generative AI: Harvard Business School’s Ayelet Israeli

11/7/2023
As an associate professor at Harvard Business School and cofounder of the Customer Intelligence Lab at the school’s Digital Data Design Institute, Ayelet Israeli’s work is focused on how data and technology can inform marketing strategy, as well as how generative AI can be a useful tool in eliminating algorithmic bias. One of the products of her recent work is a paper she coauthored with two Microsoft economists and researchers on how generative AI could be used to simulate focus groups and surveys to determine customer preferences. Ayelet joins Sam and Shervin to discuss the opportunities and limitations of generative AI in market research. She details how the research was conducted and how artificial intelligence technology could help marketers reduce the time, cost, and complexity associated with traditional customer research methods. Read the episode transcript here. Guest bio: Ayelet Israeli is the Marvin Bower Associate Professor of Business Administration in Harvard Business School’s Marketing Unit. She is also the cofounder of the school’s Customer Intelligence Lab at the Digital Data Design Institute. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their internal data, customer data, and market data to improve outcomes. Her research interests include retail, pricing strategy, channel management, marketing analytics, and algorithmic bias. Israeli has a Ph.D. in marketing from the Kellogg School of Management at Northwestern University. 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.

Duration:00:34:33

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Entrepreneurial AI in the Enterprise: LG Nova's Shilpa Prasad

10/24/2023
A former startup employee herself, Shilpa Prasad knows the level of commitment and effort required to begin a new venture. That’s what led her to join LG Nova, electronics manufacturer LG’s innovation incubator, as an entrepreneur in residence. In her role, Shilpa identifies promising startups — particularly those working with AI — and coaches and nurtures entrepreneurs while keeping a close eye on the products that might one day find their way into LG’s ecosystem. On this episode, Shilpa explains how keeping a finger on the pulse of startups helps LG Electronics stay open to innovation and new business opportunities. She also discusses why artificial intelligence is at the forefront of her work with startups, and the promising future she sees for using augmented reality and AI technologies to change how skills training is delivered. Read the episode transcript here. Guest bio: Shilpa Prasad is an experienced leader in the startup ecosystem with a strong passion for entrepreneurship and corporate startup engagement/innovation. She brings over 15 years of global experience in corporate startup strategy and venture-building to her role as entrepreneur in residence at LG Nova, where she is helping the company identify market trends and build partnerships. Prasad has been instrumental in driving innovation for various open innovation projects across corporations, governments, and accelerators and in establishing new partnerships across the global startup ecosystem. An experienced founder, she has also contributed her time to mentoring and advising startups. 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.

Duration:00:26:06