In this session, we explore why a federated, interoperable, AI-ready data foundation is now the decisive enabler of scalable AI and autonomous agent adoption. Not as a future ambition — but as a practical, value-driven reality.
We’ll share how we are laying the groundwork for a multi-agent autonomous framework — one that is open by default, composable by design, and resilient to change. Leveraging best-of-breed tools such as Genie, Kasal, Databricks ML, and an open architecture ecosystem, we enable agents to reason, act, and collaborate across the enterprise with confidence.

Attendees will see how an AI-ready data foundation — with Databricks as the core data engine — unlocks true autonomy, avoids vendor lock-in, and delivers long-term ROI by aligning AI capability directly with business strategy. This isn’t about adopting more AI. It’s about building a foundation that allows AI to scale, evolve, and continuously create business value — safely, transparently, and on your business terms.

Speaker: Parviz Shariff