{"podcast":{"title":"Winning with AI","slug":"winning-with-ai-7753332","podcast_index_feed_id":7753332,"rss_url":"https://feeds.transistor.fm/winning-with-ai","website_url":"https://www.bain.com/insights/topics/winning-with-ai-podcast/","image_url":"https://img.transistorcdn.com/zal5cG-_ojWeNG0aK2b-pN1L70Z_eW0tf2jv1K-IWUg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZGY4/ZTNlZDIwMWVhMWU3/MmEzOTM3NGJmNDQ4/NzJmMS5qcGc.jpg","author":"Bain & Company","episode_count":5,"summary":"What does it really take to scale AI across the enterprise? How do leaders move from ambition to impact? In Winning with AI, world-renowned AI pioneer Andrew Ng and Bain partner and digital re-invention expert Sarah Elk host candid conversations with global CEOs on the frontlines of AI transformation. Together, they explore the opportunities and obstacles of deploying AI at scale: reimagining operating models, empowering teams, and leading culture change to prepare their organizations for the future. Winning with AI helps leaders of global organizations navigate times of radical change with clarity and vision, uncovering the very human challenges – and opportunities – that transformation brings. About the hosts: Dr. Andrew Ng is an internationally acclaimed thought leader in artificial intelligence. He founded DeepLearning.AI, cofounded Coursera, and serves as an adjunct professor at Stanford University’s department of computer science. He was named one of the Time’s 100 Most Influential People in AI in 2023. Sarah Elk is Bain & Company’s AI practice leader in the Americas, and a leading voice on digital reinvention. She partners with CEOs and senior executives to reimagine how th…","last_synced_at":"2026-06-30T14:20:16.241243+00:00","page_url":"https://stenobird.com/podcast/winning-with-ai-7753332"},"episode":{"title":"Owning the tech stack with David Gibbs, the former CEO of Yum! Brands","slug":"owning-the-tech-stack-with-david-gibbs-the-former-ceo-of-yum-brands","published_at":"2026-04-14T02:00:00+00:00","page_url":"https://stenobird.com/podcast/winning-with-ai-7753332/owning-the-tech-stack-with-david-gibbs-the-former-ceo-of-yum-brands","show_page_url":"https://stenobird.com/podcast/winning-with-ai-7753332","url":"https://share.transistor.fm/s/a3f50215","audio_url":"https://mgln.ai/e/1714/media.transistor.fm/a3f50215/3c088a50.mp3","summary":"Leaders developing new tech stacks wonder: should I build, or buy? David Gibbs says: both. At Yum! Brands (parent company of KFC, Pizza Hut, Taco Bell and Habit Burger &amp; Grill), he developed a centralized tech stack that integrates AI into every part of the customer experience. It’s a revolutionary move, but it didn’t happen overnight. David Gibbs shares the decade of evolution it took to bring AI innovation to Yum’s restaurants and franchisees around the world. And maybe more importantly, how he led this transition, prioritizing risk-taking and moving fast. Join the Conversation: To learn more about the Winning with AI podcast check out ( https://www.bain.com/insights/topics/winning-with-ai-podcast/ ) or hit the link for additional AI Insights ( https://www.bain.com/insights/topics/ai/ ) Bain &amp; Company LinkedIn | / bain-and-company Bain &amp; Company X | https://x.com/BainandCompany","meta_description":"Leaders developing new tech stacks wonder: should I build, or buy? David Gibbs says: both. At Yum! Brands (parent company of KFC, Pizza Hut, Taco Bell and…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1953,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/winning-with-ai-7753332/episodes/owning-the-tech-stack-with-david-gibbs-the-former-ceo-of-yum-brands/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/winning-with-ai-7753332/owning-the-tech-stack-with-david-gibbs-the-former-ceo-of-yum-brands.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}