The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center of agentic application development.

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

The user's transpiler is failing to correctly convert CREATE TABLE statements for use in Databricks. Specifically, it is not removing or properly handling unsupported clauses such as DISTRIBUTION = ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Monitor data drifts on the production data you collect. Analyze collected data using Power BI or Azure Databricks Make better decisions about when to retrain or optimize your model. Retrain your model ...

Data is the new fuel. The potential for machine learning and deep learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how to take advantage of the myriad of ...