New IT Roles Emerge to Tackle AI Evaluation (6 minute read)
A new class of IT roles is popping up around AI evaluation as companies realize agents need continuous review, not one-time approval. This is the operational side of enterprise AI getting real: security, compliance, workflow fit, and bad outputs all now need owners.
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The Clownpocalypse (12 minute read)
A hilarious yet terrifying deep dive into how we are sleepwalking into an "AI clownpocalypse" driven by the reckless deployment of autonomous agents with broad permissions and fundamentally insecure architectures. It highlights how the industry's "go-fast" culture is prioritizing feature velocity over basic security hygiene. This shift toward agentic systems without robust sandboxing risks a "hot mess" of unpredictable, self-replicating damage across enterprise infrastructure.
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Anthropic vs. SaaS: The "Enabler" Nuance (4 minute read)
While Claude Code and agents are seen as "SaaS killers”, they are actually becoming the primary interface layer for the enterprise. The takeaway for CIOs: don't rip and replace your ERP. Instead, use these agents as the connective tissue to modernize legacy workflows without a migration.
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Red Hat and NVIDIA Launch AI Factory to Accelerate Scalable Production (3 minute read)
Red Hat and NVIDIA have launched a joint "AI Factory" to streamline the development and deployment of generative AI across hybrid cloud environments. By integrating Red Hat OpenShift with NVIDIA's full-stack AI platform, enterprises can now build, tune, and scale production-ready models using a consistent, pre-validated infrastructure. This partnership aims to bridge the gap between AI experimentation and enterprise-grade execution by offering a "factory-like" approach to model lifecycles.
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Massive AI Infrastructure Spending Is Reshaping Data Centers (3 minute read)
Big Tech is pouring billions into new AI data centers and infrastructure projects, with Microsoft, Meta, Google, and OpenAI driving the largest build-out since the early cloud era. Why it matters for IT: AI workloads are accelerating the shift toward GPU-heavy infrastructure and specialized AI clouds, which will influence enterprise compute architecture and pricing.
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Siddhi Bansal, Rush Deshpande, & TongChen Yang
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