Integration Platform: The Foundation of an AI-Ready Data Platform
Modern organizations are investing heavily in data platforms and AI, but the quality and reliability of these capabilities ultimately depend on something that often receives less attention: how data moves between operational systems.
In this session, we explore the architectural principles behind the platform, the boundary between an Integration Platform and a Data Platform, and the technology and engineering decisions required to operate integrations reliably at scale.
Beyond architecture diagrams, we share real-world challenges and lessons around event-driven integration, streaming, schema evolution, data contracts, reference-data enrichment, scalability, observability, and cost optimization.
Because AI models are only as good as the data feeding them.
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