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1 Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs
2 Agentic reliability and evaluations : Enterprises that got burned by a bad eval are the most likely to remove humans from the loop, not the least
3 Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't
4 Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost
5 Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in five
6 Skan AI raises $63 million betting that watching how employees actually work is the missing layer of enterprise AI
7 LTX-2.5 can generate a 10-second AI video from an image in just 6.8 seconds on Nvidia superchips — and it's open weights
8 Nvidia's Switchyard router reshuffles AI models mid-task, cutting task costs to a third in its own tests
9 Your AI agent may be ready. Your sales motion probably isn’t.
10 Mistral AI wants to build 1 gigawatt of European compute by 2030 — and lock in customers now.

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