Technology is not what powers a data-first culture, but people, operating models, and disciplined delivery. Most organizations already possess more tools and data than they can effectively utilize.

Explore the booming AI funding landscape—over $11.4B invested in enterprise, healthcare, consumer and developer AI tools in ...

“Unlike piecemeal AI deployments, Workday Illuminate embeds AI directly into the natural flow of work within the Workday ...

Leaders from Xendee, Eaton and ChargePoint detail how collaboration at the edge is revolutionizing electrical infrastructure ...

Columbia University M.P.S. in Insurance Management graduate Phil Offutt shares how AI is leveraged to find correlations and ...

Scientists at NYU Abu Dhabi (NYUAD) have developed an artificial intelligence (AI) model that can forecast solar wind speeds ...

At Yili Group's Chifeng Ecological Smart Pasture, the daily life of cows is fully safeguarded by intelligent systems, with fresh milk flowing from automatic milking devices into pipelines. The changes ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

The Microsoft partner envisions helping FP&A teams to adjust strategies “without the weeks or months traditional planning ...