The Komprise data management survey shows that 74% have 5PB or more of stored data and 85% of participants expect to spend more on data storage in 2026 than in 2025.

Most agribusinesses already generate the inputs that artificial intelligence needs to be useful: yield history, soil tests, as-applied records, equipment data and imagery. The key is turning that information into decisions that show up on the income statement, not just another report.

IBM chief executive Arvind Krishna has cast serious doubt on whether the tech industry’s massive spending on AI data centers can ever pay for itself. Speaking on the “Decoder” podcast, he said that at current infrastructure costs, the numbers simply ...

The global data center sector is set to nearly double in size over the coming four years, scaling to deliver up to 200 gigawatts – mainly to serve burgeoning AI requirements, along with hyperscale cloud needs. Currently, the sector delivers 103 GWs of power. For perspective, just 1 GW of power is enough to power about 750,000 homes.

Tempus AI’s TEM third-quarter 2025 results highlight the growing strategic importance of its Insights and Data & Services business, which is emerging as a high-margin and scalable revenue stream beyond traditional genomic testing. Data and Services ...

Perhaps nobody embodies artificial intelligence mania quite like Jensen Huang, the chief executive of chip behemoth Nvidia, which has seen its value spike 300% in the last two years. A frothy time for Huang, to be sure, which makes it all the more ...

AI companies are continuing to pour ungodly amounts of money into building out data centers, in an enormous bet that both analysts and tech leaders warn may not pay off for many years to come — if it ever does. Put simply, as IBM CEO Arvind Krishna told ...

BENGALURU, Nov 14 (Reuters) - Reliance Industries (RELI.NS), opens new tab plans to set up a 1-gigawatt AI data center in India's Andhra Pradesh, the state's chief minister said on Friday, adding to infrastructure capacity in India where the likes of ...

As the everyday use of AI has exploded in recent years, so have the energy demands of the computing infrastructure that supports it. But the environmental toll of these large data centers, which suck up gigawatts of power and require vast amounts of water ...