Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

No two snowflakes may be the same, but models that fail to take these variations into consideration often fall short when calculating the way snow accumulates on roofs. In Physics of Fluids, ...

Recent performance snapshot Snowflake (SNOW) has attracted renewed attention after a mixed run in its shares, with a recent 1 ...

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.

Snowflake Intelligence and Cortex AI are being used by semiconductor manufacturer Wolfspeed across its manufacturing, supply chain and corporate operations.

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

Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...

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 ...

Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, today announced new Confluent Intelligence capabilities that connect artificial intelligence (AI) agents and uncover more accurate, ...