Your weekly round-up of the questions asked by readers of CIO, Computerworld, CSO, InfoWorld, and Network World finds us ...

Most data products fail not because of bad data – but because nobody uses them. Here's how to build tools that actually drive decisions and get adopted.

AMD's current share price undervalues its long-term prospects, especially with momentum in the Data Center, Client, and ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

T hanks to its innovative approach to extracting information from notes, documents, PDFs, and online sources, NotebookLM has ...

Artificial intelligence (AI) and machine learning (ML) are now inextricably linked to the software supply chain. ML models, ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind ...

Vast has built out into data management from its roots and will now offer customisable agentic AI agents that can tap into its existing storage, database and messaging capabilities ...

RJ-PINNs, introduced by Dadoyi Dadesso, is a pioneering framework using Jacobian-based least-squares (TRF) to directly minimize residuals without traditional loss functions. This method is the first ...

One of Nayak's major initiatives involved reengineering critical ETL pipelines using a mix of Java, Scala, and Python a combination selected to address both performance needs and development agility.

This paper addresses the issue of real-time prediction of final product quality during a batch operation. First, a data-driven modeling approach is presented. This multimodel approach uses available ...