engblogs

A data-centric approach to building generative AI applications with a focus on Databricks' AI innovations.

Databricks introduces open source data sharing and collaboration for Lakehouse, enabling live data set sharing across data, analytics, and AI.

Introducing materialized views and streaming tables in Databricks SQL for AWS and Azure.

Introducing LakehouseIQ: An AI-powered engine that understands and leverages the specifics of your business and data

Data teams addressing challenges of data fragmentation, consolidation time, and cost in accessing the right data through Lakehouse Federation capabilities in Unity Catalog.

The blogpost discusses the updates and advancements in the Unity Catalog at the Data and AI Summit 2023, highlighting the importance of governance principles in data management.

The winners of the 2023 Databricks Data Team Awards are announced and recognized for delivering solutions to tough global challenges.

Using crowd wisdom to label medical data for AI companies

MAGE combines image recognition and generation tasks into one computer vision system.

The blogpost chronicles Jelanah's journey from a data analyst to a frontend (UI) engineer with the help of a mentor at LinkedIn who unlocked her technical skills, supported her relocation, and championed her promotion.

The blogpost explores how Spotify's Messaging team utilizes machine learning to optimize targeted in-app messaging for their platform.

OpenAI announces first international expansion with new office in London, United Kingdom