Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

FlowMS



FlowMS is an AI-powered utility efficiency tool built on AWS that analyses metering data to detect anomalies in water use and help conserve water in Amazon buildings. The system analyses water metering data and alerts employees when a building is using more water than usual.

FlowMS identifies abnormal water consumption patterns and detects potential issues such as water leaks in building infrastructure. By analysing utility data, the tool helps teams identify and address water usage anomalies across facilities.

The system supports building operations by enabling early detection of unusual water consumption and helping improve water efficiency. FlowMS is deployed across Amazon sites as part of the company’s use of AI and science-based tools to improve building and utility management.

Through the monitoring and analysis of water usage data, FlowMS contributes to conserving water and improving the operational efficiency of Amazon facilities.

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Tags:

  • ai
  • environment
  • water consumption

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.