MINOT — Thousands of North Dakota families — farmers and ranchers and other independent business people who purchase independent health insurance policies on the federal exchange — are getting a ...
In the rush to build colossal data-processing centers for Silicon Valley’s suddenly booming artificial intelligence industry, San Jose is positioning itself as the Bay Area’s epicenter for data center ...
The Wisconsin Building Trades Council views data centers as a source of long-term, high-skill jobs for its members. The author argues that communities can negotiate terms with data center companies to ...
MBX Biosciences Inc. (NASDAQ:MBX) is one of the stocks that will double in 2026. On December 4, Goldman Sachs initiated coverage of MBX Biosciences with a Sell rating and $18 price target. The key ...
This coal plant in central Pennsylvania, once the largest in the state, was shuttered in 2023 after powering the region for over 50 years. Earlier this year, wrecking crews blasted the plant’s cooling ...
LONDON, Dec 12 (Reuters) - As AI fever has propelled global stocks to record highs, the data centres needed to power the technology are increasingly being financed with debt, adding to concerns about ...
From emails to social media to online shopping, banking and chatting — everything we rely on everyday goes through an AI data center. The biggest concentration of those centers anywhere in the world ...
Data is undoubtedly a key asset today, but all it takes is a breach to turn it into a dreaded liability. With more data generated than ever, organizations have a hard time tracking and storing it.
Data centers present both potential benefits, like jobs and tax revenue, and risks, such as depleting freshwater and raising energy costs. Grassroots opposition to data centers is growing in Wisconsin ...
Surveillance video shows a woman crouching beside a Waymo self-driving taxi, trying to lure a beloved neighborhood cat to safety. A second later, the car drove off. By Heather Knight Reporting from ...
How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...