The San Francisco-based company Databricks announced on Wednesday a new natural language model called DBRX, which it says performs better than a number of popular and comparably sized LLMs, including ...

The past few months have highlighted that the battle between Snowflake Inc. and Databricks Inc. is as hot as ever. The two companies have different philosophies. But there’s no question that ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

Agentic AI requires a whole new type of architecture; traditional workflows create serious gridlock, dragging down speed and performance. Databricks is signaling its intent to get ahead in this next ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

Multi-cloud strategies are transforming how enterprises manage data, blending AWS, Azure, GCP, and Databricks for flexibility, resilience, and cost control. With orchestration, performance tuning, and ...

Palantir is combining its Artificial Intelligence Platform (AIP) with Databricks' software infrastructure. Palantir's real-time data analytics and Databricks' storage and processing specialty can help ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...