Struggling to figure out why your sales reps are underperforming? Zorana, a Sales Manager at Databox, walks through how she built a dashboard that connects activity, conversion, and revenue — all in one view. See how she identifies who needs coaching (and why) Learn how she makes data-backed decisions each week Discover how Databox helps turn sales data into action No more guessing. No more gut feelings. Just clear visibility into what drives performance.

Join Anomalo’s Jonathan Karon to learn how organizations implement automated data quality natively within Snowflake to: Securely govern structured tables and unstructured documents for AI-readiness Leverage Snowflake Native Apps and Snowpark Container Services so data never leaves your environment Detect 80% of data issues automatically without manual rules Standardize quality across all data types so BI tools and AI agents can safely operate and trace decisions.

Learn how business leaders use Snowflake Intelligence to eliminate operational lag and turn fragmented data into confident decisions at enterprise speed. Snowflake chief revenue officer Mike Gannon shows how a single intelligent agent delivers trusted, multi modal analysis across emails, documents, spreadsheets, images, video, and more. See how Snowflake Intelligence uncovers the why behind critical moments, accelerates revenue and pipeline insight, and keeps every query secure and governed within your existing framework.

In this interview, Stefan Williams, VP of Corporate Development, shares Snowflake Ventures’ top priorities and why the pace of innovation across the AI Data Cloud matters for startups. Learn how native platform capabilities, including Cortex Search, Cortex Analyst, and the Cortex REST API, help reduce complexity and unlock faster innovation. The Snowflake ecosystem is where startups gain secure, trusted access to data and the opportunity to work with some of the world’s largest customers.

AI agents are only as good as the data they can access. In this video, we explore the Model Context Protocol (MCP) and how it creates a bridge between AI models and Apache Kafka. Learn how MCP allows AI agents to securely produce, consume, and manage Kafka topics in real-time—transforming your event streams into actionable context for LLMs.