IT companies have spent billions of dollars creating ways to move data more efficiently and cheaply in an increasingly distributed world of on-premises datacenters, multiple clouds, and the edge. This ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...

As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making ...