AI production
3 stories filed under AI production on Beyond Market Intelligence. The newest of them: “Taming AI's Real-World Demands: Agents, Evals, and Rising Token Costs”, “Explore the Future of AI Deployment: Key Topics at QCon AI New York”, and “Enterprises race to buy AI compute while costs stay out of focus”. When AI hits production, code arrives faster than teams can review it, tokens start costing real money, and agents need permissions that actually hold. QCon AI New York has confirmed 23 sessions that dig into the real mechanics of AI deployment: agent authorization, production guardrails, shared inference infrastructure, and post-deployment evaluation. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every AI production story on Beyond Market Intelligence, newest first.
Taming AI's Real-World Demands: Agents, Evals, and Rising Token Costs
When AI hits production, code arrives faster than teams can review it, tokens start costing real money, and agents need permissions that actually hold. Engineers at QCon AI New York 2026 (December 15-16) are sharing how they manage these constraints, no theory, just what works. For a deeper look at how teams are building practical guardrails, see our piece on Anthropic restricting internal AI tests from live internet.
Explore the Future of AI Deployment: Key Topics at QCon AI New York
QCon AI New York has confirmed 23 sessions that dig into the real mechanics of AI deployment: agent authorization, production guardrails, shared inference infrastructure, and post-deployment evaluation. That is a refreshingly practical lineup. We talk a lot about building AI, but the hard part is running it responsibly at scale. If you are moving from experimentation to production, this agenda feels like a direct response to the questions we are all asking.
Enterprises race to buy AI compute while costs stay out of focus
TheAI infrastructure is being bought faster than it can be understood. Across 107 enterprises, GPU utilization sits at 50% or less, and fewer than half can track what their compute actually costs. Yet 64% plan to switch providers within the year, and 45% are evaluating specialized clouds they don't even use today. That gap, between aggressive investment and limited visibility, is where decisions are stalling. Explore how enterprises can close it.