Using Azure Databricks, customers can take in data ingested through other services, prepare it, and process it using machine learning algorithms and other techniques.

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

Multiple enterprises are using Databricks' synthetic data API, seeing a significant time reduction to improve agent quality and deployment.

Additionally, Databricks and Microsoft will continue to deliver deep integrations between Azure Databricks and the broader Microsoft ecosystem, enabling a unified and streamlined experience.

Data + AI Summit -- Databricks, the Data and AI company, and Microsoft today announced a multi-year early extension of their strategic partnership, underscoring a shared commitment to helping ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks ...

Databricks launches Lakehouse Federation to enhance cross-platform data query and governance in enterprise data infrastructure.

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...

Databricks, a San Francisco-based startup last valued at $38 billion, released a trove of data on Wednesday that it says businesses and researchers can use to train chatbots similar to ChatGPT.