Databricks

Databricks AI/BI Genie

Databricks Genie Agents (part of Databricks AI/BI) give business and nontechnical users a natural-language interface to talk with their data: users ask questions in plain language and get immediate answers without needing BI tools or SQL. Genie Agents use agentic reasoning that adapts to evolving business concepts, and ask for clarification when unsure how to answer. Subject matter experts can add curated instructions, example queries and predefined functions so users receive trusted, verified answers, and integration with Unity Catalog ensures answers are governed, secure and auditable. Activity monitoring tracks every question asked and how answers are rated to improve quality over time.

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4published use cases
4industries
1countries on record
Conversational AI
top AI capability

Evidence mix: High 4 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

4 use cases

Technology & SoftwarePredictive AnalyticsConversational AI

HP Indigo Boosts Manufacturing Yield and Traceability with Databricks and Unity Catalog

HP Indigo migrated more than 3,500 data volumes (~10 terabytes) of disparate ERP, manufacturing and field data, previously tracked manually across spreadsheets and legacy systems, onto Databricks and Unity Catalog. Unity Catalog's built-in data lineage reduced consumable traceability time from two to three days down to about one hour. HP Indigo also built a prediction model on Databricks to optimize manufacturing parameters for one of its parts, increasing yield from 60% to 92%. Databricks AI/BI Genie provides natural-language, self-service data access for business users, replacing ad hoc requests to technical teams.

HP IndigoUnity Catalog · Databricks AI/BI Genie · Lakehouse Federation +1
EnergyNatural Language Processing

Building a clean energy future with natural language analytics

Williams, a large-scale natural gas infrastructure operator, deployed Databricks AI/BI Genie to give commercial, regulatory, accounting and technical staff natural-language, self-serve access to analytics. The team flattened 27 disparate tables into SQL models that Genie Spaces reason over, encoding internal acronyms and business logic into Genie's instructions, powered by Databricks Unity Catalog. A data request that previously took an analyst five days now completes in seconds with validated accuracy, and the weekly backlog of data requests dropped from up to ten to one or two, freeing analysts for predictive modeling and enterprise projects.

WilliamsDatabricks AI/BI Genie · Databricks Unity Catalog