January was a huge month for data lake-focused companies' funding. Now that we've ticked over into February, it looks like the data "lakehouse" is getting its due as well. Databricks, the company ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

If you wanted to raise the profile of your major tech company and had $10 million to spend, how would you spend it? On a Super Bowl ad? An F1 sponsorship? You could spend it training a generative AI ...

Silicon Valley, CA, March 05, 2026 (GLOBE NEWSWIRE) -- Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its ...

Ali Ghodsi, co-founder and chief executive officer of Databricks Inc., speaks during a Bloomberg Technology television interview in San Francisco, California, U.S., on Tuesday, Oct. 22, 2019. Ghodsi ...

New text-to-image diffusion model enables organizations to generate high-fidelity, trusted images When organizations need high-quality images for their collateral, websites, applications, or campaigns ...

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 ...

Add Yahoo as a preferred source to see more of our stories on Google. Ali Ghodsi, co-founder and chief executive officer of Databricks Inc., speaks during a Bloomberg Technology television interview ...

Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...

On Wednesday, Databricks released Dolly 2.0, reportedly the first open source, instruction-following large language model (LLM) for commercial use that has been fine-tuned on a human-generated data ...