Cassie Kozyrkov built the discipline of decision intelligence at Google—making AI reliable enough to act on at scale. Now she advises organizations worldwide on closing the gap between AI capability and AI you can actually trust. AI doesn't fail because of the model. It fails because it doesn't understand your business—and no one has thought harder about that than Kozyrkov.

During her keynote at the Autonomous Intelligence World Tour in Dallas, Cassie will unpack the Context Imperative: what it takes to move from AI that processes data to AI that genuinely reasons about your business.

Most AI initiatives don't fail because of the models—they fail because AI doesn't understand the business. Data without context produces outputs that can't be trusted, or acted upon at the speed and scale enterprise agentic AI requires.

The Context Imperative brings together data and AI leaders for exploration into how enterprises can close the gap between raw data and AI intelligence. From semantic enrichment and lineage to industry knowledge models and agentic data products, attendees will discover how a true context layer transforms AI from a data processor into a genuine business reasoner.

Whether you're navigating regulated industries, scaling AI across use cases, or striving to get more reliable outputs from your existing investments, the Autonomous Intelligence World Tour event in Dallas delivers the frameworks, conversations, and innovations you need to make AI that actually understands your business.

One imperative. Bring context to your AI.