A proposal to build a new data center in Inver Grove Heights, between South St. Paul’s airport and nearby residential areas, has neighbors nervous. The center would take up part of a 14-acre lot ...

Discover how Big Tech is investing billions in AI data centers to power next-generation tech infrastructure, driving ...

As businesses continue to harness Big Data to drive innovation, customer engagement and operational efficiency, they increasingly find themselves walking a tightrope between data utility and user ...

UC Santa Barbara wraps up the Big Bee Project, a pioneering, multicampus initiative to bring natural history collections into the century of AI, big data and networked databases.

The AI & Big Data Expo North America 2026 is the leading enterprise AI event brings together industry professionals to ...

New research from the Shorebird Science and Conservation Collective at the Smithsonian's National Zoo and Conservation Biology Institute (NZCBI), published in the journal Conservation Biology, ...

For over two decades, I have worked to harness big data to uncover the root causes of chronic diseases, such as cancers. I also worked to create models that can guide individuals, physicians, and ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)—a ten-year survey ...

Kinil Doshi is a senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. Advances in technology have played a crucial and welcomed role ...

Whether you’re just starting out or looking to scale your business, understanding and utilizing big data can be a game-changer in your entrepreneurial journey. Integrating big data into small business ...

This is an installment of the Landline, a monthly newsletter from High Country News about land, water, wildlife, climate and conservation in the Western United States. Sign up to get it in your inbox.

Big data refers to large and diverse collections of data that cannot be managed by traditional data processing tools. Although the need to manage large data sets goes back to the 1960s and 1970s, it ...