Azure's GPU fleet used to need more people with every cluster. Now a control plane runs it with near-constant human effort.

Diego Iruretagoyena explains how at #QConAI New York 2026.

Read the session abstract: buff.ly/qKXejH8

What changes when AI moves from an employee tool to a system that carries out work across an organization?

Jason Zhou covers that shift at #QConAI New York.

Read the session abstract: buff.ly/ZQ7I4Qz

ASSERT turns natural-language requirements into executable evaluations.

ACS attaches policies to runtime intervention points such as inputs, tool calls, and outputs.

Mehrnoosh is speaking at QCon AI New York, Dec 15-16.
#QConAI #AIGovernance

Dataset size changes label collection, validation, and deployment strategy.

She'll also cover sensor vs. phone vs. cloud inference, with real latency and battery numbers.

Nina is speaking at QCon AI New York, Dec 15-16.

#QConAI #OnDeviceML

His session uses the seven-part DORA AI Capabilities Model to look beyond adoption metrics and examine the organizational conditions shaping what teams get from AI.

Nathen is speaking at QCon AI New York, Dec 15-16.
#QConAI #DORA

Can you use the magic to defeat the magic?

Static testing breaks when #AIagents hit real users.

Zhou Yu shares how using AI agents to simulate complex user behaviors helps test your product automatically and at scale before deployment.

🎬 buff.ly/0E4c3qm

#AITesting #InfoQ #QConAI #LLMs