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 of the Me, Myself, and AI podcast 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. Listen to the new episode now >> https://mitsmr.com/3yDBC1j
Me, Myself, and AI
Broadcast Media Production and Distribution
Cambridge, MA 1,914 followers
Why do only 10% of companies succeed with AI? Our podcast is on a mission to figure it out.
Über uns
Why do only 10% of companies succeed with AI? We’re on a mission to figure it out. In our podcast, Me, Myself, and AI, you’ll meet the people who are achieving big wins with AI. Next season we’ll talk to leaders from Sanofi, L'Oréal, PayPal, and more about their experiences with human/machine collaboration.
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https://sloanreview.mit.edu/audio-series/me-myself-and-ai/
External link for Me, Myself, and AI
- Industrie
- Broadcast Media Production and Distribution
- Größe des Unternehmens
- 11-50 Mitarbeiter
- Hauptsitz
- Cambridge, MA
- Gegründet
- 2020
- Spezialitäten
- artificial intelligence and podcasting
Aktualisierungen
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Have you listened to the Joel Beasley | Modern CTO #podcast yet? If not, this episode is a good place to start. Takeaways below ⬇️
Excellent episode this week from Me, Myself, and AI: “Why Only 10% of Companies Succeed With AI“, with Professor Sam Ransbotham at Boston College Take aways: 1. 🏠Infrastructure (Good Data, a way to connect to it or easily scrape it) is Key 2. 🌓Getting a baseline for your users’ hopes or fears around Gen AI can help you tailor your approach around adoption 3. 🎓 Thanks to more varied tech adoption or lack there of Tech Education is leveraging AI to “meet learners where they are” to help or challenge them more depending their need. I see this as less emphasis around Competition between students too, and more emphasis around deeply learning. Direct Quotes Below: ———————————— “And the first few [for those 10% successful companies] are things that you might, I think we would expect, right? They're got to get their technology house in order. You can't have something like artificial intelligence, complicated machine learning models. If you're basically working on an outdated copy of Excel that is run on a dated PC, right? So there's a certain sort of infrastructural element to that. And also there's talent. You have to have somebody use these tools here. Now, so what we found was that 10 percent, to get to be one of those 10 percents, you got to have some of those basic building blocks in place. And we think of those as talent, infrastructure, and strategy.” “We did a study a few years ago, and we asked people, hey, what do you think about artificial intelligence? Do you hope that it's going to do some of your tasks, or do you fear that it's going to do some of your tasks? 73% of the people said they hoped it would do some of their tasks. 33% said fear. And I think that's where we are. Now, I'm not saying that those numbers are not going to change as we get more general or more knowledge-oriented tools. Maybe those numbers change. But right now, we've got a lot of people doing stuff that they don't want to be doing. And probably not adding value.” “What I mean by that is that we have some people who've gotten super curious about technology and come in and are just amazing and on top of things already, and I'm not sure what I can teach them. On the other hand, we also have some people who seem to be getting further and further. What it means is that that bell curve that we think about teaching to is changing. A bell curve is really nice in class if it's tall, because what that means is it's narrow. Because then I in class can talk about the same topic, and I'm going to bore two or three, and I'm going to lose two or three. But I'm going to hit that sweet spot in the middle. But when that thing spreads out, then I'm more in trouble, because I can still cover the same sliver, but then my tails get bigger, and I lose more and more people either through boredom or not being prepared. I think that's actually what I'm most excited about with artificial intelligence right now because I think it can help with that.”
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On today’s episode of the Me, Myself, and AI podcast, Patrick Hebron describes some of the technical challenges in building generative AI solutions for creative pursuits and their vast potential. What do you think are some of the challenges in building generative AI solutions for creative pursuits? Listen to the new episode now: https://mitsmr.com/4c8yTeG
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Paul Romer, a professor at Boston College Carroll School of Management, 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 of the Me, Myself, and AI podcast, Paul shares his views on AI advances and their implications for society. How do you think AI's advancement is implemented in today's society? https://mitsmr.com/3UYBVfC
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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. How do you think artificial intelligence will impact creativity in the film industry? Listen to the new episode now: https://mitsmr.com/4bhA1vX
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Me, Myself, and AI reposted this
☕ What is the link between the sound of a coffee machine and the whisper-quiet close of a car door? 🚗 Porsche used an AI sound recognition algorithm that could tell a cappuccino from an espresso—a technology that was perfect for fine-tuning car door design. This is just one of the many surprising insights we've gained on how AI is transforming industries on BCG and MIT Sloan Management Review’s podcast. 🎧 From Delta Air Lines and NASA - National Aeronautics and Space Administration to Expedia Group, Duolingo, Airbnb, and beyond, dive into the dynamic world of AI innovation across 8 seasons of the Me, Myself, and AI podcast. https://on.bcg.com/3TN8PQ0 #AI #Innovation #Podcast
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How are you seeing digital twins and generative AI being used at work? Listen to Daniele Petecchi, head of data management and AI at Pirelli, explain 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. https://mitsmr.com/43oaIpg
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Listen to host Sam Ransbotham on the Joel Beasley | Modern CTO podcast discuss why the vast majority of companies are falling behind the AI curve, why most people just slap AI onto a problem instead of fixing it, and the ways in which technology can improve not only our business processes but also our quality of life. https://lnkd.in/evhVpqUc
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🎙️ Love the Me, Myself, and AI Podcast? 🚀 Share your thoughts and shape future episodes by taking a moment to complete our survey! 📋 Your feedback is invaluable in enhancing your listening experience. https://lnkd.in/eNfccUFP
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On this episode of the Me, Myself, and AI podcast, Mark Surman, president of the Mozilla Foundation, shares his take on the roles of big tech and startups in the responsible AI conversation and previews a forthcoming report on trustworthy AI from the Mozilla Foundation. Listen to the new episode and give us your take on your industry's role in the responsible AI conversation. 🎧 https://mitsmr.com/48D52JT
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