Less small talk, more substance
Everyone’s chasing generative AI for flash, but a quiet revolution is happening where the real money is: predictive AI. In this episode, F5's Lori MacVittie, Joel Moses, and Dmitry Kit dig into how a team of researchers used machine learning—not an LLM—to design a paint that passively cools buildings by up to 20 degrees. No prompts. No hallucinations. Just real-world impact through smart pattern recognition. Listen in as we unpack what this means for enterprise leaders chasing efficiency, and why your ops and sales teams should be looking for better recipes—not better word salad. It's not about generating magic. It's about discovering truth at scale.
Learn how you can stay ahead of the curve and keep your stack whole with additional insights on app security, multicloud, AI, and emerging tech: https://www.f5.com/company/octo
Learn how you can stay ahead of the curve and keep your stack whole with additional insights on app security, multicloud, AI, and emerging tech: https://www.f5.com/company/octo
Creators and Guests
Host
Joel Moses
Distinguished Engineer and VP, Strategic Engineer at F5, Joel has over 30 years of industry experience in cybersecurity and networking fields. He holds several US patents related to encryption technique.
Host
Lori MacVittie
Distinguished Engineer and Chief Evangelist at F5, Lori has more than 25 years of industry experience spanning application development, IT architecture, and network and systems' operation. She co-authored the CADD profile for ANSI NCITS 320-1998 and is a prolific author with books spanning security, cloud, and enterprise architecture.
Guest
Dmitry Kit
Dmitry Kit, PhD is a Senior Principal Data Scientist at F5. He has over 15 years of experience in machine learning operations and artificial intelligence in both academia and industry. He brings deep expertise in developing scalable machine learning systems, optimizing data-driven workflows, and applying AI to solve complex business problems. He holds a PhD in Computer Science from The University of Texas at Austin and has previously held roles at Amazon and Hitachi Vantara, where he contributed to advancing AI-driven solutions across enterprise environments.
Producer
Tabitha R.R. Powell
Technical Thought Leadership Evangelist producing content that makes complex ideas clear and engaging.
