Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

The integration between WTW Radar and Databricks enables Radar to access data by selecting Databricks as a data source and to retrieve data straight from the Databricks Data Intelligence Platform in a ...

Three main pressure points are transforming the modern data landscape: 1) Increased interest in adopting open table formats to allow any compute to operate on any data; 2) The point of control is ...

TechCrunch recently covered Databricks’ financial performance in 2020, contrasting its recent performance to some historical 2019 data that the company shared. The data-and-analysis-focused unicorn ...

Qualytics partners with Databricks to deliver proactive, automated data quality natively on the Databricks Data Intelligence Platform, enabling trusted, AI-ready data without data leaving the ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – ...

How much will the changing valuation profile of software companies impact the highest-flying private unicorns? Also, why hasn’t Databricks gone public yet? The answer to the former might be the answer ...

At our inaugural Supercloud22 event this week, we sought community input to evolve the concept of a supercloud by iterating on the definition, the salient attributes and examples of what is and is not ...