AI & Machine Learning

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AI Gateway Operating Model: Identity, Policy, Observability, and Cost Controls

TL;DR An AI gateway is only useful in production when it has an operating model around it. The gateway can route model calls, enforce token limits, apply policy, collect telemetry, and control tool access, but those controls do not define themselves. The practical work is deciding who owns routes, who approves model and tool access, […]

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Microsoft Azure Arc Mission Control: Turning Hybrid, Multicloud, and Edge Resources into One Operating Model

TL;DR Microsoft Azure Arc extends the Azure management plane to supported servers, Kubernetes clusters, virtual infrastructure, data services, and multicloud resources that operate outside Azure. It can create a more consistent inventory, governance, security, monitoring, and lifecycle-management experience across a distributed estate. The image captures that mission-control vision well, but the dashboard is the final

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The Board-Level AI Readiness Scorecard: 12 Questions CEOs Should Ask Before Approving Enterprise Scale

TL;DR Boards should not approve “AI at scale” as a broad technology initiative. They should approve a bounded portfolio of AI use cases with measurable value, named owners, governed data, production-ready architecture, constrained authority, tested controls, workforce readiness, and a credible exit path. This scorecard gives CEOs and boards 12 questions to ask before enterprise

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