Maria Korolov is an award-winning technology journalist with over 20 years of experience covering enterprise technology, mostly for Foundry publications -- CIO, CSO, Network World, Computerworld, PCWorld, and others. She is a speaker, a sci-fi author and magazine editor, and the host of a YouTube channel. She ran a business news bureau in Asia for five years and reported for the Chicago Tribune, Reuters, UPI, the Associated Press and The Hollywood Reporter. In the 1990s, she was a war correspondent in the former Soviet Union and reported from a dozen war zones, including Chechnya and Afghanistan.
Maria won 2025 AZBEE awards for her coverage of Broadcom VMware and Quantum Computing.
In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference.
While genAI chatbots are mostly deployed as assistants or copilots, agentic AI allows companies to automate entire business processes and fundamentally transform operations. Here's how they're doing it.
The explosive growth of AI infrastructure is forcing data center engineers to rapidly master new technical skills as facilities struggle to find staff.
The explosive growth of AI applications is reshaping data center, edge and cloud networks.
Enterprise software vendors of all stripes are beginning to add generative AI features to their applications. Here’s how Stream Financial, NFP, and Thomson Reuters are (cautiously) taking advantage of the technology.
In addition to controlling the use of ChatGPT and other standalone tools, companies now have to grapple with generative AI being built into the productivity apps their employees use every day.
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