Moreover, Databricks Assistant can ease related tasks such as optimizing an existing Python script a company’s data scientists use for analytics projects.

The new product, which lowers the bar for workers to access the data on top of these custom AI models, represents another step in Databricks’ quest to carve out a niche in the fast-moving AI arena.

New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.

Databricks has acquired Tabular, a data management startup, in its quest to build a common standard for data lakehouses.

Databricks acquires AI-focused data governance platform Okera, addressing the demand for governance solutions in the age of LLMs.

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.