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.

Telcos try to hop on the AI train, Anthropic wars with the Pentagon, and agents threaten Microsoft - SiliconANGLE ...

Learn the top gas optimization techniques for Ethereum smart contracts to reduce costs, improve efficiency, and scale dApps effectively.

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

PointFive launches DeepWaste™ AI, a four-layer system to detect waste across AI models, tokens, caching, and infra.

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, ...

Goldman Sachs resets its Snowflake price target and remains bullish on future expansion.

Report notes that LatentView is suited for brands with complex modeling needs looking for a solution that doesn’t ...

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 ...

Keebo, Inc., a pioneer in autonomous cloud data warehouse optimization, today announced the appointment of Eric Shoemaker as ...

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