{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Unlocking Momentum","title":"Great Leaders Listen Before Innovating","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/d5998747\"></iframe>","width":"100%","height":180,"duration":3272,"description":"Technology transformations don't fail because of technology alone. They fail when organizations overlook the people, processes, and systems needed to make change work.\nIn this episode of Unlocking Momentum, Aaron Kopel sits down with John Willis, technology leader, author, one of the founders of the DevOps movement, and owner of Botchagalupe Technologies, to discuss what decades of transformation have taught him about AI, leadership, and building resilient organizations. John shares why technology leaders must focus on protecting the brand while enabling businesses to move faster.\nThe conversation explores why failure should be treated as a learning opportunity, why DevOps principles still matter in the age of AI, and why organizations need to look beyond adoption metrics to measure real business value. John also explains why successful AI strategies start from the bottom up by understanding the people closest to the work, balancing innovation with responsible risk management.\nKey takeaways:The right work matters more than more workLeadership is about empowering others, not staying in the weedsIT earns its seat at the table by speaking the language of business outcomes\nEpisode highlights(00:00) Introducing John Willis(01:27) Protecting the brand through operations(02:17) Five decades of technology transformation(03:48) Why failure drives learning(05:15) Toyota’s blameless learning culture(07:40) Finding momentum through DevOps(08:09) DevOps and the control plane(11:17) Is DevOps really dead?(16:33) Why AI needs talent strategy(24:28) Finding insights from frontline teams(29:20) Why lines of code failed(30:05) Measuring AI value over adoption(32:17) Why AI token metrics fail(34:30) Learning through AI’s J curve(36:30) Avoiding AI hype cycles(38:34) Building AI risk controls(40:23) AI audit trails explained(44:36) The hidden cost of AI evaluation(46:34) John Willis’ books and resources(49:06) Rapid fire questions\nJohn Willis on LinkedIn:...","thumbnail_url":"https://img.transistorcdn.com/7rZrEihJrWTFpsFbH_1Jl73zPau7oG4Sx-C4hWGa7po/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iM2Fh/MTY3ZGUxNTU5NDgw/NzAzOGVlNTVjNTQ2/Nzk4My5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}