Me, Myself, and AI By cover art

Me, Myself, and AI

By: MIT Sloan Management Review and Boston Consulting Group (BCG)
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  • Summary

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

    Lights, AI, Action: Wonder Dynamics's Tye Sheridan
    Apr 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 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.
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    28 mins
  • Fashioning the Perfect Fit With AI: Stitch Fix’s Jeff Cooper

    Fashioning the Perfect Fit With AI: Stitch Fix’s Jeff Cooper
    Apr 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.
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    37 mins
  • Solving Real User Problems With Generative AI: Slack’s Jackie Rocca

    Solving Real User Problems With Generative AI: Slack’s Jackie Rocca
    Apr 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.
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    33 mins
Economics
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