Building the Foundations for AI-Powered Research and Workflows
As AI becomes embedded across the enterprise, organizations need data that can be easily discovered, understood, accessed, and applied. This webinar series explores the technologies and frameworks helping firms prepare for AI-driven workflows, from creating machine-readable context and standardized data access to accelerating quantitative research from discovery and evaluation through production deployment.
Upcoming Events
Making Enterprise Data AI-Ready: MCP, Semantic Context & AI Skills Webinar
November 04, 2026
3:00 PM - 3:45 PM GMT
10:00 AM - 10:45 AM EST
11:30 AM - 12:15 PM HKT
Virtual
Description
AI is only as effective as the data and context it can access. This session will explore how Bloomberg is making enterprise data AI-ready through standardized access with Enterprise MCP, machine-readable semantic context, and workflow-specific AI Skills, helping AI agents discover, understand, retrieve, and apply trusted Bloomberg data within enterprise workflows.
Accelerating the Quant Journey: From Discovery to Production
November 11, 2026
3:00 PM - 3:45 PM GMT
10:00 AM - 10:45 AM EST
11:30 AM - 12:15 PM HKT
Virtual
Description
See how Bloomberg is making it easier to move from data discovery and exploration to quantitative research at scale. This session will explore how the Qube Datastore (QDS) brings Bloomberg historical data together in a cloud-based repository for research, backtesting, and model development, with flexible access through the Python-based QDS API, Cloud Data Sharing, and Enterprise MCP. Learn how these capabilities help research teams find the right data faster, streamline analysis, and move more efficiently from evaluation to production.