Databricks Genie AI is the new hot topic among our customers. It is a conversational analytics feature that empowers business teams to interact with their data using natural language. Genie AI leverages generative AI tailored to your organisation’s terminology and data, enabling users to ask questions, generate visualisations, and explore insights, without needing technical expertise or writing SQL.

In this session, we’ll introduce Genie AI, demonstrate how it works, and welcome a special guest who will showcase how their organisation is empowering business users with Databricks Genie AI.

Agenda:

• Welcome & Introduction
• What is Databricks Genie AI?
  A clear, jargon-free introduction to Genie AI including what it is, why it matters, and how it fits into the Databricks ecosystem.
• What Does Genie AI Look Like?
  • Live Demo: See Genie AI in action, how to make data available, tune the system, and set it up for your organisation.
  • Use Cases: Explore practical applications and benefits for different teams.
• Customer Spotlight: Heathrow Airport
  Hear directly from a Genie AI customer about their implementation journey, key benefits, and lessons learned.
• Roadmap & What’s Next
  Get a sneak peek at upcoming Genie AI features, including the new streamlined Databricks workspace for end users and how Databricks is evolving to support analytics and BI.
• Q&A
  Your chance to ask questions, submit in advance or live during the session.

Key Features:

• Natural Language Interface: Ask business questions in plain English and get instant answers, including text summaries, tables, and visualisations.
• Self-Service Analytics: Genie AI enables users to query enterprise data directly, supporting questions beyond the scope of traditional dashboards and reports.
• Customisable Genie Spaces: Domain experts configure Genie spaces with datasets, sample queries, and guidelines, making it easy for business users to explore operational and financial data.
• Continuous Learning: Genie AI incorporates user feedback to refine its responses and semantic knowledge over time.
• Integration with Unity Catalog: Genie spaces are built on data registered to Unity Catalog, ensuring secure, governed access to managed tables, views, and more.
• File Uploads: Users can blend local CSV and Excel files with Unity Catalog data for deeper analysis (currently in Public Preview).

How Genie AI Works:

Genie uses a compound AI system which consists of multiple interacting components rather than a single large language model to interpret business questions and generate answers. It selects relevant names and descriptions from annotated tables and columns, converts natural language questions to SQL queries, and responds with results. If Genie can’t generate an answer, it can ask follow-up questions for clarification.

Example Use Cases:

• Healthcare: Clinical teams can ask Genie for trends in patient outcomes or treatment effectiveness and instantly generate visual summaries.
• Emergency Services: Dispatchers can query Genie for real-time incident hotspots and visualise response time patterns across regions.
• Manufacturing: Operations managers can ask Genie to highlight supply chain bottlenecks or predict equipment maintenance needs with instant dashboards.
• Retail: Merchandisers can use Genie to identify top-selling products by location and visualise customer buying trends.
• Financial Services (FSI): Risk analysts can ask Genie to surface fraud patterns or visualise credit risk exposure by customer segment.
• Legal: Legal teams can query Genie to summarise contract risks or track upcoming renewal deadlines across large document sets.