Data Reconstruction can be a confusing contract to take on at first in Marathon, but it can be completed fairly easily once you know what to do.

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.

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

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 ...

Estimates show some facilities use at least 500,000 gallons of water a day to cool their equipment. AI data centers are also driving up consumers’ electricity rates. However, we found no public data ...

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

New capability unifies in-flight data preparation with AI agent development, cutting AI development timeSAN FRANCISCO, Feb. 24, 2026 (GLOBE NEWSWIRE) -- The leading cause of AI project failure is data ...

The leading cause of AI project failure is data preparation bottlenecks created by disconnected tools. Today, Tray.ai, the leader in enterprise orchestration ...

Here’s a little secret for you: The next wave of AI success is going to be completely dependent on structured data. Maybe that’s a no-brainer to you. Maybe I’m telling you that the next time you take ...

AUSTIN (KXAN) — Utility regulators in Texas will start asking data centers and crypto-mining operations statewide within a narrow timeframe to share information about how much water they’re using and ...