Databricks has launched an artificial intelligence (AI)-powered business intelligence (BI) product designed to give everyone in an organization access to analytics and insights.
The new Databricks AI/BI includes both interactive dashboards and a conversational interface called Genie, the company said in a press release on Wednesday.
Both of these experiences are powered by a complex AI system that continuously learns from usage across the organization so it can accurately answer complex questions automatically, according to the release.
“AI/BI is a big step toward true self-service BI, greatly expanding the types of analysis that everyday users can perform through an AI-first approach,” Databricks said in the release.
According to the release, all Databricks SQL Pro and Serverless customers can access AI/BI with no additional licensing fees beyond warehouse compute costs. The dashboard experience is generally available and Genie is in public preview.
Databricks' composite AI systems for powering AI/BI are designed to provide inference capabilities beyond those offered by individual monolith models, according to the release.
The system continuously learns and improves performance based on human feedback, according to the release, and also learns from other information about an organization's data within the Databricks platform.
“A truly intelligent BI solution must understand the unique meaning and nuances of a business to effectively answer business users' questions,” Databricks co-founder and CEO Ali Ghodsi said in the release. “We believe this requires a different approach to BI software design than has been seen to date: one that puts AI systems at the center of the architecture, designed to leverage their strengths while also compensating for their weaknesses to address the challenge of understanding and learning from these nuances.”
The news comes the same day that Databricks and Nvidia announced an expanded partnership to bring Nvidia's accelerated computing to the core of Databricks' data intelligence platform to optimize data and AI workloads.
In another recent development, Databricks announced on June 4 that it had agreed to acquire data management company Tabular to combine the original creators of open source lake house formats Apache Iceberg and Linux Foundation Data Lake to lead the data compatibility effort.
