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Microsoft uses AI to optimise Azure data center infrastructure

· Source: datacenters.economictimes.indiatimes.com

In short

Microsoft is applying AI and agentic tools across its Azure Hardware Systems and Infrastructure lifecycle to connect insights from silicon and systems design through supply chain, deployment, and fleet operations. Demand-planning multi-agent workflows cut manual effort by about 50 per cent and cycle times by up to 75 per cent, while AI-powered failure prediction reduced disk-related VM interruptions by 92 per cent and repair time on out-of-service nodes by 53 per cent. The company credits a "Lean before AI" approach and a governed shared data foundation for the results across 80-plus regions and 500 data center campuses.

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In the issue of week 41, 2026: AI Moves Supply Chains From Planning Toward Execution, But Data and Capacity Set the Pace

Tags: supply chain, forecasting, logistics, fleet management, automation

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