Zalak Trivedi

Databricks is rapidly advancing its AI capabilities—from Genie Spaces to LLM-powered analytics. But for most organizations, making that innovation accessible to everyday business users in a way that’s intuitive, governed, and scalable remains the real challenge. Sigma activates Databricks AI to build intelligent, user-facing workflows that accelerate productivity. Learn how teams use natural language querying, assistants, and agents to analyze data, automate decisions, and take action directly on live Databricks data. Through real-world examples, discover how organizations are operationalizing AI and turning investment into measurable business outcomes.

Snowflake is rapidly advancing its AI capabilities — from Snowflake Cortex AI to LLM-powered analytics. But for most organizations, making that innovation accessible to everyday business users in a way that’s intuitive, governed and scalable remains a challenge. Sigma activates Snowflake AI to build intelligent, user-facing workflows that accelerate productivity. Learn how teams use natural language querying, assistants and agents to analyze data, automate decisions and take action directly on live Snowflake data. Through real-world examples, including Love’s Travel Stops’ planning workflows, discover how organizations are operationalizing AI — turning investment into measurable outcomes.

Faced with the limitations of a legacy, on-prem data stack and scalability bottlenecks in MicroStrategy, Saddle Creek Logistics Services needed a modern solution to handle massive data volumes and accelerate insight delivery. By migrating to a cloud-native architecture powered by Sigma and Databricks, the team achieved significant performance gains and operational efficiency. In this session, Saddle Creek will walk through how they leveraged Databricks’ cloud-native processing engine alongside a unified governance layer through Unity Catalog to streamline and secure downstream analytics in Sigma. Learn how embedded dashboards and near real-time reporting—cutting latency from 9 minutes to just 3 seconds—have empowered data-driven collaboration with external partners and driven a major effort to consolidate over 30,000 reports and objects to under 1,000.