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Amazon taps TBC to make AI models faster, cheaper with human neurons

Trane Technologies, a global climate innovator with over $21 billion in annual revenue, manages millions of connected HVAC assets worldwide. However, accessing operational insights from these assets can take up to 20 minutes due to the need to cross-reference multiple dashboards. To address this issue, the company built an AI-powered agentic solution on Amazon Bedrock AgentCore, reducing the time to a mere 20 seconds.

This represents a 60x improvement in time-to-insight, shifting operations from reactive response to proactive, data-driven optimization. The solution employs a multi-agent architecture, with each specialized assistant governed by its own system prompt, ensuring focus on a single capability domain. These agents enable role-based access control, real-time HVAC analytics, intelligent search across Trane's knowledge base, and an extensible architecture that evolves with advancing AI capabilities.

Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 1 other outlet

Read the original at asia.nikkei.com →

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