Images and Inspiration With AI: Pinterest’s Jeremy King

Me, Myself, and AI

#Tech #MIT Sloan Management Review and Boston Consulting Group #Boston Consulting Group #MIT Sloan Management Review #Business #Aiimplementation #Artificialintelligence #Collaboration #Corporateaiadoption #Crossfunctionalteams #Machinelearning #Workingwithtechnology #Podcasting Education

57:50

Alex (@alex_kamenca) and Carley (@carleymitus) are both members of our Action Academy Community that purchased TWO small businesses last thursday! Want To Quit Your Job In The Next 6-18 Months Through Buying Commercial Real Estate & Small Businesses? 👔🏝️ Schedule A Free 15 Minute Coaching Call With Our Team Here To Get "Unstuck" Check Out Our Bestselling Book : From Passive To Passionate : How To Quit Your Job - Grow Your Wealth - And Turn Your Passions Into Profits Want A Free $100k+ Side Hustle Guide ? Follow Me As I Travel & Build: IG @brianluebben ActionAcademy.com…

2 years ago 20:20

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Jeremy King leads a team of 1,400 passionate engineers working on the continuous improvement of Pinterest’s image-driven platform. With a background that includes heading up a translation team at eBay and overseeing the technology behind Walmart’s U.S. retail stores and e-commerce business, Jeremy is now responsible for technology operations at Pinterest. To support the company’s mission to inspire people to “create a life that they love,” he and his team rely on advanced AI, machine learning, and a graph database to index and build a network of images so users can find inspiration — particularly when they aren’t completely sure what they’re looking for.

On this episode, Jeremy joins Sam and Shervin to talk about some recent advances Pinterest has made in the image-recognition space and shares his views on how generative AI will transform image-based content like Pinterest’s. 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:

Jeremy King is senior vice president of technology at Pinterest, where he leads the company’s technical vision and the engineering organization responsible for building and scaling a visual discovery engine.

Before joining Pinterest, he was CTO and senior vice president at Walmart, where he led the team responsible for the technology behind U.S. retail stores and e-commerce for Walmart and Jet, and oversaw customer, merchant, and supply chain technologies across cloud and data platforms. King has also held executive-level technology roles at Walmart Labs, LiveOps, and eBay.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

98 episodes

Images and Inspiration With AI: Pinterest’s Jeremy King

Me, Myself, and AI

6,479 subscribers

published 2 years ago

MP3•Episode home

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:

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

98 episodes

All episodes

Me, Myself, and AI

1
Upcycling and Upskilling With AI: Goodwill's Steve Preston 26:37

10 days ago26:37

26:37

Many of us know Goodwill Industries International as a retailer that accepts and resells donated goods. What the average consumer may not know is that the nonprofit takes in over 5 billion pounds of goods each year — and not all of it can be resold. For those unwanted or unviable items, the organization can either look into recycling or upcycling, and with the help of AI, it’s able to efficiently make that determination while also improving its process for sorting and allocating sellable goods for different retail channels. Additionally, Goodwill helps its workforce with career-development skills. Much of this training has been enhanced with AI. Tune in to this episode to hear directly from Goodwill CEO Steve Preston about how the organization is using technology to fulfill a mission that extends beyond the retail store. Read the episode transcript here . Guest bio: As president and CEO of Goodwill Industries International, Steven C. Preston leads a network of 153 local Goodwill organizations with a combined revenue of $8.2 billion. In addition to being a secondhand retail leader, Goodwill is a leading nonprofit provider of workforce training and development in North America. Positioning the organization at the forefront of workforce development has been a top focus for Preston since he joined Goodwill in 2019. He has also forged partnerships with organizations focused on sustainable practices in the secondhand retail marketplace and developed mission-focused marketing efforts to elevate the Goodwill brand. Previously, Preston served in numerous operational and financial leadership positions in both the public and private sectors. After heading the U.S. Department of Housing and Urban Development and the Small Business Administration, he led successful turnarounds as the CEO of Oakleaf Global Holdings and Livingston International. He also served as the CFO of Waste Management and ServiceMaster. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn . We encourage you to rate and review our show. Your comments may be used in M e, Myself, and AI materials.…

Me, Myself, and AI

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Overcoming AI Hallucinations: Truist’s Chandra Kapireddy 33:39

24 days ago33:39

33:39

In today’s episode, Chandra Kapireddy, head of generative AI, machine learning, and analytics at Truist, delves into the evolving landscape of AI with a particular focus on how GenAI tools reshape the way Truist and similar organizations must navigate model risk management and regulations. GenAI is more versatile than traditional AI, he notes, yet its flexibility introduces new challenges around ensuring model reliability, validating outputs, and making sure that AI-driven decisions don’t lead to unfair or opaque outcomes. Chandra’s responsible AI approach at Truist is focused on risk mitigation while emphasizing the importance of human oversight in high-stakes decision-making. He points out that while GenAI can vastly improve productivity by handling repetitive or analysis-heavy tasks, it’s essential to properly train employees in order to use the tools effectively and not over-rely on their outputs, especially given their tendency to hallucinate or produce inaccurate results. Read the episode transcript here . Guest bio Chandra Kapireddy is head of generative AI, machine learning, and analytics, at Truist. He brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams to the financial services firm. Kapireddy has held key leadership positions at some of the industry’s leading companies, including Capital One, Wells Fargo, Bank of America, Oracle, and Amazon Web Services. Most recently, he served as managing director and head of AI/ML products for JPMorgan Chase, where he served on the firm’s AI Executive Council, which influences its strategy, products, controls, and governance. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn . We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.…

Me, Myself, and AI

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Speed, Ease, and Expertise With AI: Lenovo’s Linda Yao 31:59

5 weeks ago31:59

31:59

Linda Yao, chief operating officer and head of strategy for Lenovo’s Strategy, Solutions, and Services Group and vice president of hybrid cloud and AI solutions, joins us to explain the organization’s transition from technology product company to managed services provider. It’s now helping organizations with the change management required to implement AI in the enterprise. She shares both a framework around speed, ease, and expertise to facilitate this adoption, as well as the four pillars of AI readiness that Lenovo guides its clients to achieve. Tune in to this episode, also, for Linda’s perspective on the role of human connection in what she calls the era of inference , a time when we should focus on the implementation of maturing AI tools. Read the episode transcript here . Guest Bio: Linda Yao serves as vice president of hybrid cloud and AI solutions at Lenovo. Yao recently also took on the role of chief operating officer and head of Lenovo’s Strategy, Solutions, and Services Group and established the company’s AI Center of Excellence. Previously, at Boeing, she incubated a data science practice in the U.S. and India, built an M&A team, and oversaw investments for one of the largest corporate retirement plans in the world. She earned her finance chops at IBM in New York and Shanghai. Yao earned her bachelor’s and master’s degrees from Harvard University and an engineering certificate from MIT. She is an active liaison for the U.S. Presidential Scholars Foundation and the YoungArts, a national foundation. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn . We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.…

Me, Myself, and AI

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Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun 30:02

7 weeks ago30:02

30:02

Harvard Business School professor Raffaella Sadun’s research has historically focused on digital reskilling. Now, rapid technological changes — like AI — are reshaping the nature of work. Raffaella’s research has explored how AI might empower those with intermediate expertise, such as store managers and blue-collar workers, to become more efficient and satisfied in their roles. She shares a bit about her research on today’s episode of Me, Myself, and AI and highlights the potential for AI to improve teamwork and innovation by bridging the gaps between different functional teams. Her experiments show that AI can enhance productivity and output quality, sometimes even substituting for team collaboration, while also improving speed and efficiency in problem-solving tasks. Read the episode transcript here . Guest bio: Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, where she cochairs the Project on Managing the Future of Work and is coprincipal investigator of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. She cofounded several large-scale projects to measure management practices and managerial behavior in organizations, such as the World Management Survey, the Executive Time Use Study, and U.S. Census Bureau’s Management and Organizational Practices Survey of hospitals. 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.…

Me, Myself, and AI

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Feed Drop: How AI Will Change Your Job: MIT’s David Autor 40:18

9 weeks ago40:18

40:18

Today’s episode is a bonus drop from our friends over at the MIT CSAIL Alliances podcast. We’ll back in two weeks for Season 11 of Me, Myself, and AI . David Autor, the Daniel (1972) and Gail Rubinfeld Professor, Margaret MacVicar Faculty Fellow in MIT’s Department of Economics, says that AI is “not like a calculator where you just punch in the numbers and get the right answer. It’s much harder to figure out how to be effective with it.” Offering unique insights into the future of work in an AI-powered world, Autor explains his biggest worries, the greatest upside scenarios, and how he believes we should be approaching AI as a tool, and addresses how AI will impact jobs like nursing and skilled trades. Read the episode transcript here . Studies and papers referenced in this conversation: AI and Product Innovation AI and the Gender Gap Robotics and Nursing Homes CSAIL Alliances connects business and industry to the people and research of MIT’s Computer Science and Artificial Intelligence Laboratory. Each month, the CSAIL podcast features cutting-edge MIT and CSAIL experts discussing their current research, challenges, and successes, as well as the potential impact of emerging tech. Follow the podcast 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 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.…

Me, Myself, and AI

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Monetizing Data With AI: MIT CISR's Barb Wixom 34:31

11 weeks ago34:31

34:31

Barbara Wixom, principal research scientist at MIT’s Center for Information Systems Research (CISR), draws on 30 years of research in this bonus episode of the Me, Myself, and AI podcast. She believes data monetization is the key to enterprise success with AI and breaks down why. With hosts Sam Ransbotham and Shervin Khodabandeh, Barb details case examples to highlight best practices for AI implementation and how to measure value, as well as how data governance and ethics play a critical role in successful AI projects. They also talk about what companies get wrong and the challenges and rewards of AI research. Read the episode transcript here . Guest bio: Barbara Wixom is a principal research scientist at the MIT Center for Information Systems Research (CISR). Her academic research explores how organizations generate business value from data assets. She is the author of the award-winning book, Data Is Everybody’s Business: The Fundamentals of Data Monetization , which she wrote to inspire workers to engage in data monetization. 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.…

Me, Myself, and AI

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Tackling Injuries With AI: The NFL's Jeff Miller 30:37

13 weeks ago30:37

30:37

Jeff Miller moved from a career in government to focus on the health and safety of NFL players. Due to the nature of their sport, they are more prone to injuries, including concussions, than other professional athletes. By leveraging the game’s unique elements, such as the volume of cameras filming on-field activities, the NFL can gather large data sets to track injuries, and then segment their likelihood of occurrence by position and design equipment and update game rules to minimize them. Jeff joins us to describe how the NFL has partnered with tech companies, including Amazon Web Services (AWS), to expand its technology fluency and implement these solutions. Listen to today’s episode to learn about specific equipment the NFL has produced and rule changes it has implemented to better track and protect its players, as well as one element of the game Jeff believes technology cannot replace. Read the episode transcript here . Guest bio Jeff Miller is the National Football League’s executive vice president overseeing player health and safety. He is also the NFL’s executive vice president of communications, public affairs, and policy. During his tenure, the league has used data, artificial intelligence, and engineering to improve protective equipment, make rule changes, and support independent medical research related to players’ wellness and the rate of concussions. Before joining the league, Miller spent a decade on Capitol Hill as chief counsel and staff director for the Antitrust and Business Competition Subcommittee of the U.S. Senate Judiciary Committee. He earned his Juris Doctor from the University of Chicago Law School and his bachelor’s degree from the University of Pennsylvania. 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.…

Me, Myself, and AI

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How a 160-Year-Old Startup Uses AI: The Heineken Company’s Ronald den Elzen 28:54

17 weeks ago28:54

28:54

After trying his luck at the stock market, Ronald den Elzen, pursued a career in technology leadership instead. Today, as the chief technology and digital officer of The Heineken Company, he encourages his team to think about the legacy beverage company as a 160-year-old startup with global scale, operating with multiple brands in more than 80 markets. When members of his team can work with agility and less fear of making mistakes, he finds they are more successful at rolling out new technology initiatives. Heineken uses AI extensively in areas including revenue management, promotional optimization, and logistics, but Ronald believes much value still comes from traditional AI — such as predictive analytics and machine learning models — rather than chasing the latest trends like generative AI (GenAI). Heineken is focused on using these foundational tools to drive tangible. Read the episode transcript here. Guest bio: Ronald den Elzen, chief digital and technology officer at The Heineken Company, has been with the international brewer since 1996. He previously held roles in data and transformation and served as the CEO of Heineken USA. Den Elzen lives in the Netherlands. 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.…

Me, Myself, and AI

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Collective Learning With Generative AI 30:52

20 weeks ago30:52

30:52

Over the past year, we’ve seen generative AI explode. In this episode, we review insights shared with us from five prior guests — from Microsoft, GitHub, Meta, Partnership on AI, and NASA — and consider what’s changed, what’s the same, and what new concerns organizations face. With GenAI tools becoming ubiquitous and democratized, organizations grapple with how to use them at the enterprise level and how to regulate their use for employees. They’re also struggling with openness and transparency in the name of knowledge sharing while protecting competitive advantage. The balance between openness, competition, and responsible deployment of AI is crucial as AI tools continue to evolve. Read the episode transcript here . For more, listen to these prior episodes in full: Out of the Lab and Into a Product: Microsoft’s Eric Boyd If 10% of the World Were Developers: GitHub’s Mario Rodriguez Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay Building Connections Through Open Research: Meta’s Joelle Pineau AI on Mars: NASA’s Vandi Verma 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.…

Me, Myself, and AI

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Leveling the Playing Field With AI: Special Olympics's Mary Davis 38:28

22 weeks ago38:28

38:28

Mary Davis, CEO of Special Olympics, wants the people she represents to “have a seat at the table” as AI evolves. In this episode of the Me, Myself, and AI podcast, Davis talks about her organization’s mission along with the growing role of AI and how it’s crucial to ensure that people with intellectual disabilities — a group often overlooked in tech discussions — are included in AI development. Special Olympics helps people with intellectual disabilities through sports, education, and leadership programs. Its Unified Champion Schools program is an inclusive education initiative that benefits all students, both those with and without intellectual disabilities, reduces bullying, and improves academic performance. Mary also shares the results of a study conducted by the Special Olympics and Harvard University citing strong support from parents, teachers, and the athletes themselves to use AI to support people with intellectual disabilities, especially in educational contexts. She sees AI as a powerful tool for “leveling the playing field” and describes specific applications that the Special Olympics is using for employees and athletes. Read the episode transcript here . Guest bio: Mary Davis has been the CEO of Special Olympics since 2016. She joined the nonprofit organization soon after college as a volunteer and coach in her native Ireland. She progressed through various leadership roles before becoming its global CEO: She was CEO of the Special Olympics World Summer Games Dublin 2003, the first such event held outside the United States; CEO of Special Olympics Ireland; and president and managing director of Special Olympics Europe/Eurasia. Davis was awarded a Person of the Year Award for her work on the 2003 World Summer Games and her years of service with Special Olympics Ireland. 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.…

Me, Myself, and AI

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Bonus Episode: Lessons From Jobs in the Age of AI 26:24

23 weeks ago26:24

26:24

On Sept. 4, 2024, Me, Myself, and AI host Sam Ransbotham moderated a panel discussion at a Georgetown University/World Bank event, Jobs in the Age of AI . Afterward, he interviewed keynote speaker Carl Benedikt Frey, Dieter Schwarz Associate Professor of AI and Work at the Oxford Internet Institute, and panelist Karin Kimbrough, LinkedIn’s chief economist. In this bonus episode recorded during this discussion, hear from Frey and Kimbrough about how artificial intelligence is impacting workers, labor trends, and the economy. Read the episode transcript here . For further information: Watch sessions from the AI in Action event on demand. Access on-demand recordings from all prior AI in Action events. Read event organizers Timothy DeStefano and Jonathan Timmis’s paper, “ Do Capital Incentives Distort Technology Diffusion? Evidence on Cloud, Big Data, and AI .” 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.…

Me, Myself, and AI

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Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay 41:26

25 weeks ago41:26

41:26

Rebecca Finlay, CEO of Partnership on AI (PAI), believes that artificial intelligence poses risks — and that organizations should learn from one another and help others avoid the same hazards by disclosing the mistakes they’ve made in implementing the technology. In this episode, Rebecca discusses the nonprofit’s work supporting the responsible use of AI, including how it’s incorporating global perspectives into its AI governance efforts. She also addresses the complexities of integrating AI into the workforce and the misleading narrative around the inevitability of AI taking over humans’ jobs. She advocates for a proactive approach to adopting the technology instead, where organizations, policy makers, and workers collaborate to that ensure AI enhances jobs rather than eliminating them. Read the episode transcript here . Guest bio Rebecca Finlay is CEO at Partnership on AI (PAI), a global nonprofit that brings together a cross-sector community of over 100 partners in 17 countries to ensure that developments in artificial intelligence advance positive outcomes for people and society. Working at the intersection of technology and society, Finlay has held leadership roles in civil society, research organizations, and industry. Before joining PAI, she founded global research organization CIFAR’s AI & Society program, one of the first international multi-stakeholder initiatives on the impact of AI in society. Her insights have been featured in books and the media, including the Financial Times, The Guardian, Politico, and Nature Machine Intelligence. She has spoken at venues such as South by Southwest and the U.K. AI Safety Summit. Finlay is a fellow of the American Association for the Advancement of Sciences and sits on advisory bodies in Canada, France, and the U.S. She holds degrees from McGill University and the University of Cambridge. 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.…

Me, Myself, and AI

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The Risks of Too Much AI: Fortune’s Jeremy Kahn 35:12

27 weeks ago35:12

35:12

Jeremy Kahn’s investigation into the risks and effects of artificial intelligence are reflected in a new book, Mastering AI: A Survival Guide to Our Superpowered Future . But he has also written extensively about the technology in his role as Fortune magazine’s AI editor. On today’s episode, he joins Sam and Shervin to share the insights on AI that he has gained through his work. heir conversation explores a range of subjects, including people’s growing reliance on AI technology — specifically, generative AI, whose outputs are difficult, if not impossible, to trace back to a reliable source. They also discuss AI’s effect on critical thinking, how best to educate people about the technology’s risks and limitations, the value of cultivating employees’ adaptability, and how GenAI’s ability to simulate human interactions could be affecting people’s real-life interpersonal skills. Read the episode transcript here . Guest bio: Jeremy Kahn is an award-winning journalist for Fortune magazine, where he covers artificial intelligence and other emerging technologies. In addition to writing cover stories and features, he pens Fortune ’s weekly “Eye on AI” newsletter and cochairs its Brainstorm AI technology conferences in his role as AI editor. Previously, he wrote about technology, including AI, for Bloomberg. His writing on a range of subjects has also appeared in The New York Times , Newsweek , The Atlantic , Smithsonian magazine , The Boston Globe , The New Republic , and Slate. He has reported from India and much of South Asia, the Ivory Coast, Iraq, Venezuela, and most countries in Western Europe. He is the author of Mastering AI: A Survival Guide to Our Superpowered Future (Simon & Schuster, 2024). 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.…

Me, Myself, and AI

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Never Too Much AI: Upwork's Andrew Rabinovich 36:37

29 weeks ago36:37

36:37

Andrew Rabinovich began his career in technology working on AI applications for cancer detection. He also spent time at Google, working on early iterations of products like Google Glass. Now at Upwork, as vice president and head of AI and machine learning, Rabinovich and his team are working to enhance the digital labor platform’s capabilities with AI solutions to enable more sophisticated matching of resources to projects. On today’s episode, Andrew shares his views on the ways AI could take on more complex projects while using fewer resources. In the way of AI’s rapid progress, however, are slow advancements in hardware. While AI has made huge strides in cognition, he says, hardware struggles to match its capabilities, especially in wearable tech and robotics. Still, Andrew envisions a future with hyper-personalized digital assistants for everyone. Read the episode transcript here . Guest bio Andrew Rabinovich is vice president and head of AI and machine learning at Upwork. He previously held R&D leadership positions at Google before joining augmented reality company Magic Leap as head of AI in 2015. In 2020, Rabinovich cofounded Headroom, an AI-powered videoconferencing platform that was acquired by Upwork in 2023. He holds a Ph.D. in computer science from University of California, San Diego, and has studied machine learning with an emphasis in computer vision and multimodal AI for over 20 years. He has also authored more than 100 peer-reviewed publications and patents. 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.…

Me, Myself, and AI

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Ethically Sourced Creativity: Shutterstock's Alessandra Sala 36:50

31 weeks ago36:50