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Future-proofing trading infrastructure is no longer just about cloud adoption. As front-office systems grow more fragmented, firms are discovering that scalability alone does not solve the problem. The real challenge lies in how data moves, connects, and becomes usable across platforms — especially in an AI-driven environment.

A hidden structural dependency is reshaping the economics of market data. As vendors tighten control and switching costs rise, financial institutions face an invisible tax embedded in their architecture. This article explores why the problem isn’t your vendor choice but your integration model and how AURELIA restores data sovereignty in an AI driven world.

Bob Iger’s decision to acquire Pixar rather than rebuild Disney Animation offers a powerful lesson for modern market data strategy: smart capital allocation means knowing when to buy versus build. Instead of assuming the risks of internal development for commodity infrastructure, financial institutions should focus on owning differentiated analytics while integrating external data sources. By prioritizing integration and governance, organizations can accelerate capability and