Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its platform on the Databricks Platform to power large-scale, ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...
Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...
Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow ...
Migrating on-premise databases and data platforms to a cloud-based data lakehouse can be challenging for organisations that run multiple data management products on different systems to serve ...
Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...
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 ...
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