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

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

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 ...

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 ...

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 ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Indian engineering teams play a central role in the development of core products, working on areas such as large language models (LLMs), real-time data ingestion, and tools like Databricks Connect.