AI risk emerges from live systems and processes, not abstract policies or model behavior.

For many CIOs, data governance has become synonymous with delay. Access requests move through ticketing systems, approvals stretch across weeks, and data ...

The International Communication Effectiveness of China’s Image from the Perspective of Soft Power Pillars: A Case Study of ...

Ramakrishna Garine is a logistics transformation expert who leverages Python-based automation and integrated analytics to eliminate manual inefficiencies, recovering hundreds of thousands in costs and ...

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

MOUNTAIN VIEW, Calif., Feb. 5, 2026 /PRNewswire/ -- Enterprise use of AI is expanding rapidly across development, operations, and knowledge work, but new research shows these changes in behavior are ...

Murugan Anandarajan does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations ...

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

As enterprises rush to bring AI into business processes, data analytics is near the top of most of their wish lists. Injecting AI into data analytics promises benefits that range from improved cost ...

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...