The data and artificial intelligence landscape is undergoing a rapid transformation as enterprises move beyond experimentation into large-scale adoption. Hybrid cloud and AI-driven data architecture ...

The Automotive Edge Computing Consortium (AECC) today announced the release of its latest white paper, "Data-First Architecture for Data-Driven Automotive Service Development." Developed by the AECC ...

The artificial intelligence moment has a new focal point, and it isn’t a model — it’s the mess of files, logs and transactions where work actually happens. The winners may very well be those who ...

For many federal agencies, the clean audit has long served as a North Star: visible and aspirational, yet frequently obscured by legacy infrastructure, fragmented data, and manual processes. Today, a ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...