How London Stock Exchange Group is detecting market abuse with their AI-powered Surveillance Guide on Amazon Bedrock
Machine Learning Blog
London Stock Exchange Group (LSEG) has developed an AI-powered Surveillance Guide using Amazon Bedrock to improve market abuse detection and surveillance operations.
- Uses Anthropic's Claude Sonnet 3.5 model to analyze news articles
- Automatically predicts the probability of news being price sensitive
- Processes approximately 250,000 RNS articles over 6 months
- Achieved 100% precision in identifying non-sensitive news
- Provides automated analysis with detailed classification justifications
The solution reduces manual review time for analysts, improves assessment consistency, and enables faster response to potential market abuse cases by leveraging generative AI technology.
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