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' ...

Databricks is buying Tabular, a small startup that helps companies optimize data they store in the cloud with the Apache Iceberg format. The news comes in the middle of Snowflake's summit, where the ...

With Agent Memory and AI Runtime, Databricks is refining AI development to aid customers struggling to build agents that can ...

SAN FRANCISCO, May 27, 2026--(BUSINESS WIRE)--Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and optimizes across Databricks, ...

Vendors such as Databricks, Microsoft, NVIDIA, and Snowflake offer different implementations of model routing, optimizing for ...

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 ...

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...

Databricks on September 28, 2026, introduced Lakebase Search, a built-in search engine for its Lakebase Postgres database delivered through two extensions: lakebasevector for approximate nearest ...

Databricks has announced the public preview launch of Query Tags, a new capability for Databricks SQL that allows organizations to attach custom business context as key-value pairs to every SQL ...

The name of Databricks' annual conference has gone from "Spark Summit" to "Spark + AI Summit" and now to "Data + AI Summit." The evolution of the event name tracks Databricks' own transition from the ...