How To Be an Agentic Analyst

AI is changing the data analyst role — staying competitive requires a shift from manual tasks to architecting intelligent systems. This session provides a roadmap for analysts to move beyond technical toil toward building governed AI intelligence layers. We'll explore new ways of working and delivering value throughout the analytics lifecycle, and how Databricks can help. We will cover the following typical analyst journeys: accelerating data discovery and wrangling with agent mode in Databricks Assistant; ensuring data consistency by defining business semantics in the Metric View UI; enabling stakeholder self-service through conversational AI analytics with Genie; democratizing data products by connecting them to popular tools like Excel and Slack; building custom, high-impact interfaces for advanced scenarios using Databricks Apps. This session offers a blueprint for becoming an augmented analyst, delivering scalable AI services that grow with your organization.