Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

New executive guide helps mid-market and enterprise organizations eliminate the hidden cost of disconnected systems in ...

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

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, ...

AIStor Table Sharing reflects how enterprises actually operate today: multi-format, hybrid, and at massive scale. By supporting both Delta and Apache Iceberg (TM) tables, MinIO avoids locking ...

Snowflake CEO Sridhar Ramaswamy gave a fiscal 2027 outlook that highlighted AI adoption, Cortex Code momentum and Observe ...

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 ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

AI will only deliver real business impact when it is trusted to be deployed at scale, which requires the same rigor as ...

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

Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

Research reveals that LeapLogic delivers significantly higher conversion accuracy, faster transformation and time ...