Physical AI demands more than traditional AI infrastructure. Here’s why enterprises need real-time data architecture, ...

The people who work with the data every day often know things that aren't captured in schemas, architecture diagrams or technical documentation.

Before exploring its role in powering the effective use of gen AI tools, it is critical to understand what a "data strategy" entails in a corporate legal setting. In general, a data strategy is a ...

Imagine you're looking for a Caribbean vacation. There’s a luxury resort brand you love, and you want to compare availability, prices, and amenities across locations. You could do your research island ...

The strength and agility of an organization's data strategy determine the success of an AI initiative just as much as advanced models and advanced algorithms do. AI agents and generative AI systems ...

Data strategies and modernization initiatives misaligned with the overall business strategy—or too narrowly focused on AI—leave substantial business value on the table. In partnership withThoughtworks ...

Signal loss is forcing a shift to value-exchange collection and native identity resolution to protect pipeline revenue. The ...

Data governance is still a challenge at some organizations. Operational silos among departments, a lack of strong data governance leadership, and the ever-increasing glut of data are factors, as is a ...

The European Union is trying to engineer a digital revolution. Through its European Strategy for Data, EU officials hope to create a “single market for data,” knitting together governments, businesses ...

The Pentagon’s new data, analytics, and AI adoption strategy focuses on data shareability, with the aim of better enabling all-domain command and control. But the biggest challenge, DOD’s chief ...

Rajiv Jain is a Field CIO/CTO for the Financial Services Vertical at CDW. Financial services organizations are built around their data. They must be able to quickly access, analyze and use the data ...

Production storage is increasingly reliable and resilient, but regularly creating and maintaining quality, independent backups of production data is more important than ever. Especially with cloud ...