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Stewart Bond, IDC
As AI systems become increasingly agentic, capable of reasoning, acting, and governing data autonomously, the enterprise data landscape is undergoing a profound shift. Foundational models are evolving into the analytical layer itself, blurring the lines between data, application, and intelligence. Traditional warehouses and lake houses are converging into model-lakes, where data preparation, inference, and decision automation are unified.
At the same time, event-driven architectures are redefining the role of data as a live, continuously observable asset. In this new model-native paradigm, governance is no longer about control points and committees, it becomes intent orchestration, built on trust, real-time visibility, and autonomous compliance.
This session will explore how Chief Data Officers can lead this transition by modernizing architectures for real-time responsiveness, embedding AI into governance and policy, and preparing their data ecosystems for an era when “data is the application.” Drawing on 2025–2026 IDC research, the discussion will illustrate a practical path from today’s federated data models to tomorrow’s agentic enterprise.
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