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.
Notes from Appian World’s 2026 Keynote – “East Coast AI” and the architecture of safe action
AI’s value in regulated, high-stakes work depends on reliability and innovation moving together, so that agentic action can be taken with confidence, while humans remain in the loop. This is the premise Appian CEO Matt Calkins’ put forth on stage in front of thousands of his customers across a diverse set of industries. Appian is leaning into a difficult part of enterprise AI with a focus on turning probabilistic output into governed action. In our view, this puts the company on a credible path toward what we would call a System of Agency, even if lacks the deep semantics of a true System of Intelligence. The ultimate destination in our mental model continues to be a real time Digital Twin of an enterprise that can not only determine what happened and why it happened, but also what to do next; and then do it with confidence. While this capability remains aspirational for the industry and will take the better part of the next 4-6 years to play our, Appian is putting its stake in a key piece of the emerging AI software value chain.
Vultr and SUSE Partner for Sovereign AI Infrastructure at Scale
Vultr and SUSE announced a formalized partnership at SUSECON 2026, combining Vultr’s globally distributed cloud and GPU infrastructure with SUSE’s enterprise Linux and Kubernetes platforms. The collaboration targets enterprises building AI-native applications across regulated, multi-region environments where data sovereignty and cost predictability are non-negotiable.
Vultr at HumanX 2026: Enterprise AI Infrastructure at Scale
At HumanX 2026, Vultr made its case as a full-stack AI infrastructure platform built for global enterprise inference. We examine the governance, composability, and cost dynamics shaping the next phase of enterprise AI adoption.