Five Takeaways from Snowflake Summit 2026

At the Snowflake Summit 2026, the focus shifted from the mere inclusion of AI in enterprise data stacks to preparing these stacks for AI's demands, with Snowflake positioning itself as the Enterprise Data Layer and Snowplow as the Customer Context Layer. Snowflake introduced two agents, CoWork and CoCo, to aid in reasoning across enterprise data and building necessary infrastructure, respectively, along with Cortex announcements that emphasize real-time AI capabilities. The notion of agentic AI, which Yali Sassoon discussed, highlights the evolving data infrastructure challenges as AI begins to generate more detailed and nuanced customer interactions, prompting organizations to reassess how they manage and utilize customer data to stay ahead. Yali's session stressed the importance of real-time data processing to provide actionable insights, as demonstrated by Snowplow Signals, which aims to fill the gaps in customer context by delivering real-time behavioral data. The summit emphasized the necessity for teams to enhance their data collection and processing strategies to enable intelligent agent operation, thus bridging the infrastructure gap that many teams currently face.