Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
TEL AVIV, Israel--(BUSINESS WIRE)--Intel® Granulate™, Intel’s flagship software performance offering, today announced a new collaboration with Databricks to merge Intel Granulate’s autonomous, ...
SAN FRANCISCO--(BUSINESS WIRE)--Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced a series of new capabilities for customers of ...
The 2026 CNBC Disruptor 50 list will be revealed Tuesday, May 19th Databricks is buying Tabular, a small startup that helps companies optimize data they store in the cloud with the Apache Iceberg ...
Enhances enterprise cloud data engineering capabilities and deepens collaboration across Snowflake and Databricks ...
Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results