Databricks new Data Intelligence for Cybersecurity, built on the same data lakehouse architecture as the company’s flagship data and AI platform, is designed to help security teams more efficiently ...

Transactional database technology “hasn’t actually changed that much in the last 40 years” and is inadequate for today’s operational AI applications and agents, Databricks co-founder and CEO Ali ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

NEW YORK, June 11, 2025--(BUSINESS WIRE)--Superblocks, the leading platform for secure enterprise application development, today announced an expanded partnership and native integration with ...

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 ...

Enterprises are racing to harness the power of data and AI, but they face the same challenge: a shortage of skilled talent. According to World Economic Forum data, eight out of ten business leaders ...

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 ...

As part of the Data + AI Summit, Databricks announced a number of new features, including the launch of Agent Bricks, an automated method for creating customized AI agents for companies, and the ...

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 ...

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' ...