Mastering AI with the experts
Mastering AI with the experts
Podcast Description
Welcome to "Mastering AI with the Experts," a comprehensive series where we delve into the vast and evolving world of artificial intelligence. This playlist brings together thought leaders, innovators, and top experts from various fields to explore the impact of AI across industries. From cutting-edge technologies to practical applications, we cover the past, present, and future of AI, providing you with insights and knowledge to stay ahead in this rapidly changing landscape.
Podcast Insights
Content Themes
The podcast focuses on the evolving landscape of artificial intelligence, with episodes covering AI maturity assessment, customer service enhancements through AI, and the impact of AI on sales processes, emphasizing practical applications and expert experiences.
AI Frontier Playbook exists because the real conversations about enterprise AI deserve to be heard. The guests here are the practitioners, researchers, and executives actually making decisions inside organizations, not summarizing trends from the sidelines. Every episode is a front-row seat to how AI is reshaping work, leadership, and business strategy in real time.
Whether you are leading an AI initiative, advising your organization, or just trying to cut through the noise, this is your space to think clearly, lead confidently, and stay ahead.
AI projects stall when nobody names the real business bottlenecks first. In this episode of The AI Frontier Playbook, I sit down with Ryan Cunningham, Microsoft CVP of Copilot Studio and Power Platform, to talk about why, and what actually separates a good AI use case from a wasted one.
Ryan leads agents, apps, and automation across the entire Microsoft stack, and in this conversation we get into why most AI projects stall before they even start, whether apps and low code still matter now that you can generate almost anything from a chat window, how to actually choose between pro code, low code, and vibe coding, and how Copilot Studio's credit based pricing is reshaping the way teams think about cost. Ryan shares the real story behind a customer who turned a 36 hour quote generation process into a 2 hour one, and why that is the model for a good AI use case. Quick thanks to Kezber, a Microsoft partner, for sponsoring this episode.
You'll learn:
- Why most AI projects fail because nobody defined the outcome before picking a tool
- How to turn a vague business problem into a measurable AI use case with a clear ROI
- Why apps and structured interfaces are not going away even as chat based AI expands
- What actually happens to custom software and SaaS as vibe coding becomes mainstream
- How to decide between pro code, low code, and vibe coding for a given problem
- Why credit based consumption pricing is replacing flat per user licensing for AI
- How Power Apps turning into MCP servers changes what agents can do with your data
- What governance and oversight look like once agents start operating with less human involvement
Whether you are a business leader trying to justify your first AI investment or a developer deciding which tool fits the job in front of you, this episode gives you a practical framework for making that call.
Thanks to Kezber for sponsoring this episode. Learn more about Kezber: https://kezber.com/
📌 Resources & Links
Ryan Cunningham on LinkedIn: https://www.linkedin.com/in/rycu
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Visit my website: https://frontierplaybook.ai
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