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 ...

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 ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...