Why Enterprises Waste $25B on AI Models: The Real Factors Behind Adoption | Frank Nagle
The Linux Foundation's Chief Economist quantifies a $24.8 billion inefficiency in AI adoption and explains why organizations ...
Kubernetes 1.35 Brings In-Place Pod Updates and Native Identity to Production | Drew Hagen
Kubernetes 1.35 Release Lead Drew Hagen explains how in-place pod updates, native workload identity, and smarter ...
Why Enterprises Fear Open Source AI Models—And Why They Shouldn’t | Frank Nagle
Chief Economist Frank Nagle explains why the biggest fear about open source AI models—that they'll make your ...
How Mirantis MCP AdaptiveOps Turns Agentic AI From Hype Into Production Reality
Randy Bias challenges conventional wisdom on AI agents: stop building custom solutions and focus on production ...
Why Enterprise AI Needs MCP Standardization—And What Could Go Wrong | Randy Bias, Mirantis
Randy Bias of Mirantis breaks down the Agentic AI Foundation launch, revealing why standardization matters for enterprise ...
Enterprises Leave $24.8B on Table by Choosing Closed AI Models Over Open Alternatives
Frank Nagle reveals how enterprises waste billions on closed AI models when open alternatives deliver comparable performance ...
Why Cloud Foundry Still Powers AI Workloads in the Kubernetes Era | Ram Iyengar
Cloud Foundry Chief Evangelist Ram Iyengar reveals how the platform powers AI infrastructure, adapts to Kubernetes, and ...
Helm 4 Releases After 6 Years: Why Stability Beats Speed for 70% of Kubernetes Users
Helm turns 10 and releases version 4 after six years. Matt Butcher and Matt Farina discuss why ...
Why Open Models Hold Trillions in Future Value: Frank Nagle on the Economics Behind AI Choices
Frank Nagle explains the economics behind open models, the misconceptions driving closed-model adoption, and how enterprises can ...
How Open Source Keeps Europe Competitive in AI and Emerging Tech — Gabriele Columbro
Gabriele Columbro explains why open source is Europe’s best tool for competing in AI and digital ...