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

The Databricks Unified Data Platform, using the Google Kubernetes Engine, can be deployed in a containerized cloud environment and link to Google BigQuery and other GCP services. Databricks’ Unified ...

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

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Databricks CEO Ali Ghodsi and Nvidia CEO Jensen Huang announced an expansion of their companies’ partnership at the Databricks Data and AI Summit. I was recently back in San Francisco, attending the ...

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Is it time for a new type of operating ...

In recent years, a number of companies have chosen to go public through SPACs -- but returns have largely been poor compared to the broader market. While investment banks are likely eager to work on a ...