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Viewpoint Sep. 11, 2026
From Cloud FinOps to Cloud-AI FinOps: One Discipline for Cloud and AI Economics
Enterprise AI costs are becoming harder to forecast and govern as spending expands across cloud infrastructure, model-provider APIs, AI SaaS, data platforms, GPUs, RAG pipelines, observability tools, and embedded AI capabilities. Fragmented ownership makes it difficult… -
Technology Awareness Deep Dive June 29, 2026
The Heat Barrier: How Cooling Will Define the Future of AI Infrastructure
This report examines the evolution of data center cooling as it becomes a foundational enabler of AI-scale infrastructure by supporting the rapid growth of graphics processing unit-intensive workloads, High-performance Computing (HPC) workloads, and machine learning workloads. The… -
LinkedIn Live May 28, 2026
The Context Engineering Battle: Competing Visions for an Agentic AI Future
What is the “context layer” for organizational AI, and what did it look like in the race to unlock enterprise value? Although autonomous AI systems were being deployed with greater frequency, organizations continued to face persistent… -
I recently spoke with a solo-practitioner attorney who told me she had “implemented Artificial Intelligence (AI) everywhere.” Given how aggressively the legal industry cheerleaders are pushing AI-led transformation, I expected something sophisticated, perhaps an agentic system handling contract negotiations or a custom-trained legal model. Instead, she described something far simpler: Gemini…
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