London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services
Machine Learning Blog
The article details how London Stock Exchange Group (LSEG) used Amazon Q Business to enhance their client services by developing an AI-powered assistant for their London Clearing House (LCH) team.
- Developed a generative AI solution to quickly answer complex customer queries about trading and clearing services
- Created a web-based interface using multiple AWS services like ECS, Lambda, and API Gateway
- Connected data sources including internal documents and public website using web crawlers
- Used a validation process with Anthropic's Claude v2 model to verify response accuracy
- Implemented secure access through SAML 2.0 IAM federation
The project aims to improve customer experience, increase staff productivity, and provide fast, accurate responses to technical queries across diverse asset classes and products.
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