In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery ...

This story has been updated to reflect that while the protesters call the University of Michigan project a “data center,” the university identifies it as a “high performance computing facility.” ...

Policing data hosted in Microsoft’s hyperscale cloud infrastructure could be processed in more than 100 countries, but the tech giant is obfuscating this information from its customers, Computer ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...

Neil is a freelance tech journalist with 20 years of experience in IT. He’s the host of the popular Tech Talks Daily Podcast, picking up… Enterprise data teams have been wrestling with the complexity ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

SPONSORED POST: As organizations race to harness the potential of AI, many are discovering that their existing data architectures are struggling to keep up. Traditional warehouses and lakes often lack ...

Abstract: The data-driven method with strong approximation capabilities can be employed for the efficient computation of multi-period optimal power flow (MPOPF). However, existing methods usually ...

Spending on data centers increased 50% last year and is projected to keep rising, but there are limits to how many of these centers the tech industry can build. An AI-ready data center on a seven-acre ...

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 ...