Build an open, future-proof data foundation that supports analytics, operations, and AI
Maintain control over costs and data access as AI workloads scale
Design interoperable architectures that prevent platform lock-in
Enable AI agents with the real-time, reliable data they need to operate at scale
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As AI accelerates the pace of change, data infrastructure must evolve to support real-time, agent-driven workloads — not just reporting. Today’s systems struggle to deliver the fresh, diverse, and interoperable data that AI agents require at scale.
In this session, we’ll explore how organizations are rethinking their architecture with Open Data Infrastructure — an approach grounded in open standards that restores control over data, costs, compute, and context.
Build an open, future-proof data foundation that supports analytics, operations, and AI
Maintain control over costs and data access as AI workloads scale
Design interoperable architectures that prevent platform lock-in
Enable AI agents with the real-time, reliable data they need to operate at scale
As AI accelerates the pace of change, data infrastructure must evolve to support real-time, agent-driven workloads — not just reporting. Today’s systems struggle to deliver the fresh, diverse, and interoperable data that AI agents require at scale.
In this session, we’ll explore how organizations are rethinking their architecture with Open Data Infrastructure — an approach grounded in open standards that restores control over data, costs, compute, and context.

