Google Gemini Enterprise makes it easier than ever to build customer-facing AI agents. But even the most advanced agent is limited by the context it can access.

Most agents rely on CRM records, warehouse data, and enterprise systems that are hours or days behind. They miss what customers are doing right now: the products they're evaluating, the content they're consuming, and the behaviors that signal purchase intent, frustration, or churn.

See how Google and Snowplow Signals provide real-time customer context to Gemini Enterprise agents. We'll demonstrate how to connect Signals as a context source, define customer attributes from live behavioral data, and serve that context to the customer-facing agent. You'll learn how leading organizations are building more responsive, personalized customer experiences across support, commerce, and engagement use cases.

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