314 | Breaking Analysis | Nvidia, AI factories and the transition to accelerated computing
The market is trying to price a transition it hasn’t fully internalized. It sees Nvidia’s market cap with a 5 handle and assumes the story is one of mostly GPUs. We believe that’s the wrong mental model. The shift underway is closer to the RISC to x86 transition, but far more substantive. While x86 became the de facto standard, it largely grew proportional to normal server and PC refresh cycles. The dynamic powering Nvidia is far more powerful and not well understood in our view. Nvidia is creating a new platform by becoming the default substrate for enterprise computing, and that platform pulls everything else into its gravity. In this cycle, the unit driving growth isn’t a PC or a server, it’s the AI factory, which is a rack-scale system that turns power, data, compute and software into intelligence through tokens, reasoning, and automated workflows.
AI-Powered Observability Moves From Monitoring to Autonomous Remediation
AI-powered observability is evolving from reactive monitoring to autonomous remediation and operational control.
Agentic AI Governance Becomes the Enterprise Bottleneck to Scale
AI investment is no longer the constraint. Execution is. With global AI spending projected to reach $2.5 trillion, the conversation has shifted from experimentation to operationalization. The real challenge facing enterprises today is not whether AI can deliver value, but whether organizations can govern, scale, and trust it across complex, distributed environments. In this episode […]
Why Engineering Velocity is the New Determinant for AI ROI
Why is 85% of enterprise AI currently stalling in “Pilot Purgatory”? While 57% of organizations are experimenting with agentic workflows, only 15% have achieved productive ROI. This research brief identifies the root cause: the AI Velocity Trap. Moving beyond the “Browser Wars” of model selection, Scott Hebner and Nitesh Bansal reveal why Engineering Velocity is the new determinant for success. Learn how the 5-Layer Enterprise Cake framework collapsed a 16-month roadmap into just 9 weeks.
314 | Breaking Analysis | Oracle front-runs AI model threat with new customer security advisory
SiliconANGLE was able to review an Oracle security alert that went out to customers this week. We believe it was a direct response to Mythos, and other frontier models, that significantly lower the cost for attackers to discover exploits. In this Breaking Analysis we give you our initial take on this development. Here’s the background… […]
AWS Elemental Inference at NAB 2026: Turning Live Video into Real-Time AI-Driven Engagement
AWS Elemental Inference, announced at NAB 2026, brings real-time AI directly into live media workflows—enabling instant vertical video creation, automated key moment detection, and multi-platform distribution. Built in collaboration with Fox, it transforms how broadcasters scale content, driving faster engagement, greater efficiency, and measurable Return on AI (ROAI).
Gemini for Government Signals a New Phase of Public Sector AI Adoption
Public sector AI adoption is accelerating as Gemini for Government enables secure, compliant, and scalable AI workflows, signaling a shift from experimentation to real mission outcomes.
GKE Becomes the Runtime Layer for Agentic AI at Scale
Kubernetes for AI is entering a new phase as GKE becomes the runtime layer for agentic AI systems, enabling scalable, secure, and cost-efficient enterprise AI operations.
Vision AI Moves From Science Project to Production Platform
Plainsight VisOps targets model drift, retraining, and scaling Vision AI from pilots into real-world production systems.