OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

Cloudflare details Town Lake, an internal unified data platform, and Skipper, an AI analytics agent unifying access to operational, billing, security, and business data. The platform processed ~91K ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

The new engine could let enterprises retain more telemetry data for compliance and incident response at lower cost, although migration work and missing query support may slow adoption, analysts say.

Orbital AI data centers face a credibility gap after SoftBank founder Masayoshi Son told shareholders the chip costs, launch ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

“Rob, everyone knows that the GSEs (Freddie Mac and Fannie Mae) don’t use credit scores for loan approval. They use it for pricing. The GSEs have created their own scoring system and it’s just the ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. This voice experience is generated by AI. Learn more. This ...

A new Investopedia analysis shows the average cost of a comfortable retirement in every state, along with the savings needed to afford it. Peter Gratton, Ph.D., is a New Orleans-based editor and ...

In December of last year, Microsoft told thousands of its engineers, product managers and designers that they could use Claude Code, Anthropic’s command-line coding agent, on the company dime. By ...

When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often ...

Abstract: Probabilistic top-k dominating (PTD) queries are essential for retrieving the most influential objects from uncertain data, but executing them over large datasets is computationally ...