Apple has begun delivering Houston-made AI servers to its data centers nationwide ahead of schedule, a step in scaling its in-ecosystem AI while reshoring some of its manufacturing. Apple's Houston ...

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

Data contextualization is the key to understanding and preventing the implications of bad factory floor data in downstream applications. When your IT colleagues talk about data lineage, they are ...

Lineage (LINE), the world’s largest cold storage operator, is trading over 50% below recent highs but remains a dominant industry force. LINE is well-positioned for long-term growth and industry ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

MCP Server enables AI agents to handle a full range of data-driven queries of Data Commons data sources, from initial discovery to generative reports, Google said. Looking to make public data access ...

Abstract: With the widespread adoption of complex SQL queries in modern data environments, traditional data lineage tools face challenges in parsing accuracy and coverage, struggling to meet the ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

Shares of cold-storage REIT Lineage, Inc. (LINE) are down 50% from their all-time high, set shortly after the company’s IPO in July 2024, as industry overcapacity has squeezed growth prospects. The ...

The once heavily lopsided rivalry between AMD and Intel in pursuit of market share and the revenue that comes with it has become a much more tightly contested battle. Case in point, AMD sent us a ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. AI rarely fails because of bad models alone. More often it fails ...