Leaders in small Minnesota communities are helping big tech companies dot the state with gigantic computers used to power AI, ...
The City of Hermantown, muzzled by nondisclosure agreements, called a proposal “Project Loon” in early planning documents. If ...
In a push to transform medical school curriculum and education to keep pace with modern developments, first and second year students at NYU School of Medicine will have to complete a project using big ...
SOUTH CAROLINA (WCIV) — Before the COVID-19 pandemic, more than 13 million Americans were living with low or no vision. Vision loss rates continue to soar five years later. "There's very little ...
22hon MSN
AI growth fuels Eaton acquisition as industrial companies tap into big U.S. data-center buildup
Eaton is spending $9.5 billion to acquire Boyd Thermal, as the company takes aim at the fast-growing data-center-construction ...
The local family looking to sell some of its farmland for a big data center in Howell Township has launched a new project ...
“Big data” may have become an over-hyped buzzword, but there is still a growing demand for new ways to store, manage, analyze, and exploit the massive amounts of electronic data being generated by ...
Over at InformationWeek, a profile on Ford predictive analytics group leader Michael Cavaretta reveals the main reason Big Data projects fail. The biggest difficulties have to do with expectations.
Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...
Kubernetes may be known as a key component for managing thousands of small container pods, but some see an even broader future in enterprise big data for the open source orchestrator. Sean Suchter, ...
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