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 ...

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

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

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

It handles the millions of daily tasks—translation, tagging, and moderation—that require consistent, repeatable results ...

Newsrooms have long used AI to sift through document dumps. Now that same tech is being used to build search tools for ...

Google Agent Skills address context bloat; skills load on demand from skill.md files with YAML front matter, reducing ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

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.

Femtosecond laser synthesized FeCoNiCrMnRu high-entropy alloy nanoparticles on the laser-induced graphene enable an efficient Joule heater with high heater energy efficiency and broadband infrared ...