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Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate
The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...
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Pyth and Exa Explore New Market Data Model for AI Agents
Pyth Network and AI-native search provider Exa are collaborating to explore how AI agents can combine financial market data with web-based research, potentially opening up new approaches to data distribution, licensing and consumption as agentic AI becomes more widely adopted in financial services. The collaboration, currently in an early testing phase, brings together Exa’s search...
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Buy AND Build: The Future of Capital Markets Technology
Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
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AI in Capital Markets Handbook 2026
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...



