At AsiaFIC 2026, a recurring theme emerged across discussions on agentic AI, interoperability, governance, and cloud infrastructure: AI readiness is increasingly becoming an architecture challenge. As financial institutions move from AI experimentation to production deployment, fragmented market data, inconsistent operational contexts, and disconnected enterprise systems are creating new barriers to scale. The firms best positioned for AI success may not be those with access

Market data is reaching its AWS moment. What was once a procurement function—buying feeds and managing vendors—is becoming a strategic orchestration challenge. As AI expands data volumes and cloud delivery becomes standard, firms must move beyond ownership toward control. The competitive edge now lies in vendor-neutral integration, standardized data, cost transparency, and scalable governance. Infrastructure is no longer overhead—it is strategy.

As AI moves into production across financial services, Model Context Protocol (MCP) is emerging as a potential standard for AI-ready market data access, raising new questions about data delivery, governance, and interoperability.

💡 MDC Frankfurt 2025 – A day of insights, innovation, and connection! Yesterday’s edition of MDC Frankfurt was a true success — an afternoon filled with valuable discussions, hands-on demos, and great networking! We were delighted to welcome Finbridge GmbH & Co. KG , oraïse , and BCCG as sponsors for this edition. Each company brought unique perspectives through their presentations: 🔹 Finbridge – Market Overview 🔹 BCCG – Market and Technology Readiness 🔹 Oraise –

Join BCCG at MDC Frankfurt 2025 for expert insights on cloud-native market data architecture and deployment strategies or financial services.