Today, we are excited to announce Databricks AI/BI, a new type of business intelligence product built from the ground up to deeply understand your data's semantics and enable anyone to analyze data for themselves. AI/BI is built on a compound AI system that draws insights about your data from its full lifecycle across the Databricks platform – including ETL pipelines, lineage, and other queries. It powers two complementary product experiences:
- AI/BI Dashboards: an AI-powered, low-code dashboarding solution that includes all the conventional BI capabilities you'd expect out-of-the-box, for answering a fixed set of business questions; and
- Genie: a conversational interface that can learn the underlying data and semantics continuously based on human feedback, and can answer a much broader set of business questions based on its reasoning capabilities, while still providing certified answers for query patterns specified by the data teams.
These features make AI/BI a significant step towards true self-service BI, significantly broadening the range of analytics that everyday users can perform. Additionally, AI/BI integration with Databricks' Data Intelligence Platform ensures unified governance, lineage tracking, secure sharing, and top-tier performance at any data scale.
In the rest of the blog, we discuss the reasons why GenAI struggles to work so far in BI beyond demos. We then discuss why we believe AI/BI's design can overcome these issues, and validate it through real-world evidence.
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