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

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Season 1 Trailer

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.

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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.

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

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.

AI Hype and Skepticism: Economist Paul Romer

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 Ready Player One and X-Men: Apocalypse. 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.

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

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.

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

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.

Season 1 Trailer

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