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Hyperscale data center development is shifting inland as AI demand surges, with Texas and Midwestern states gaining ground due to power availability, lower costs, and faster permitting.
New research shows sensitive corporate data is increasingly flowing through unsanctioned GenAI apps as workers bypass official controls, widening the gap between frontier adopters and organizations struggling to govern AI use.
As AI workloads surge, U.S. data centers are straining an outdated grid — but a new ITIF report argues the power crunch is solvable with smarter integration, better planning, and near-term capacity gains.
Despite widespread adoption, corporate real estate firms struggle to translate AI pilot projects into measurable ROI, a new JLL report finds.
Most generative AI projects fail to show measurable ROI despite billions in investment. Experts point to weak data infrastructure as the underlying cause preventing enterprise AI from reaching profitable scale.
As AI agents multiply, static identity systems fail. Dynamic IAM and zero-trust access models help enterprises secure data and maintain control at machine speed.
Hewlett Packard Enterprise used its 2025 analyst meeting to argue it is entering a new phase of profitable growth, driven by AI infrastructure, networking, and the Juniper integration.
AMD’s sweeping partnership with OpenAI goes beyond GPU supply. With a six-gigawatt buildout and the Helios rack-scale platform, AMD is redefining power, scale, and trust in the next era of AI data center infrastructure.
The digital certificate supply chain is a critical resiliency issue, yet certificate lifecycle management is often treated as a routine IT task rather than a board-level priority.
Google is partnering with utilities to throttle AI-driven data center power demands, using demand-side strategies to help keep grids stable and services uninterrupted.
Small tweaks to AI model size, prompt length, and compression techniques can deliver major energy savings, according to a new UNESCO report. Experts say that tailoring large language models to specific tasks could reduce energy use by up to 90% while lowering costs and computational overhead.
In this article, we’ll walk you through what Microsoft covers (and what it doesn’t), explore real-world data loss scenarios, and explain how SaaS-based protection can help you build a resilient, compliant, and secure email environment.
With open-source tools and strong benchmark results, AMD is challenging the AI market status quo and expanding its role in next-gen performance computing.
IT leaders are expressing growing concern over the risks of shadow AI, including data leaks, regulatory exposure, and the use of unvetted tools without IT oversight.
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