(1) The sources or owners of the datasets. (2) A description of how the datasets further the intended purpose of the artificial intelligence system or service. (3) The number of data points included ...

As companies race to adopt agentic AI to spur innovation and gain efficiency, building the right enterprise data infrastructure has become a critical component of success.

Artificial intelligence can be a godsend in collecting and analyzing data at commercial real estate firms. It can also jeopardize the security of that very data. Solving that conundrum is becoming ...

Trillions are wasted annually in B2B transactions because decision-makers lack access to contract analytics. This is a failure failure of data liquidity, not processes.

Network as a service is gaining momentum as enterprises rethink connectivity for distributed architectures, hybrid cloud environments and AI workloads.

March 12 (Reuters) - Oracle's Mike Sicilia is the latest software CEO to wade in to the debate on whether artificial intelligence tools that heavily automate human tasks will mean the demise of his ...

Fears that AI will disrupt the software sector may be overblown for two key reasons.

Multiple Chinese smartphone makers are planning price hikes in March due to soaring memory chip prices, media reported, ...

AI, security, data, and digital modernisation are reshaping IT's mandate, and organisations that address these demands in isolation often struggle to convert that effort into sustained enterprise ...

ATIS announced the release of Accelerating Telco API Monetization in North America, a new white paper providing a baseline assessment of how telco APIs enable monetization across North America.

Anyone who wants to use AI agents must also be able to contain them. Salesforce aims to make this possible with its Einstein Trust Layer.

PGIM Jennison Global Infrastructure Fund reported an 18.42% return for 2025, driven by strong utility performance. Read the full analysis for more details.