Alteryx, Inc., an AI-ready data and analytics company, is expanding its cloud-native analytics capabilities with Live Query for Snowflake-enabling organizations to execute data transformation, ...

Snowflake (NYSE: SNOW | SNOW Price Prediction) and MongoDB (NASDAQ: MDB) both delivered Q1 FY2027 results in late May that ...

A U.S. official says one of Anthropic’s artificial intelligence models identified vulnerabilities in highly sensitive and ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...

As enterprises move from AI experimentation to production deployments, one challenge is becoming increasingly apparent: AI systems are only as reliable as the business context they operate in.

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

Back in December 2025, I upgraded the stock, considering what I thought was a timely opportunity. By now we know that it seems to be too early, as I didn't quite expect the market to turn. It's very ...

Microsoft has opened a new front in the AI data wars, blocking partners from connecting their data management tools to a popular product as it tries to defend its business software strength in the era ...

In its first major announcement since being acquired by Salesforce Inc., data management vendor Informatica today unveiled a “headless” version of its flagship Intelligent Data Management Cloud, ...

Snowflake is enhancing Snowflake Intelligence and Cortex Code to create a unified experience connecting enterprise systems, data sources, and AI models with Snowflake data. It’s part of the company’s ...

Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a ...