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As AI shifts from training to inference and call-and-response chatbots give way to autonomous agents, AMD's Brayden Mahdavi explains why enterprises are rebalancing the CPU-to-GPU ratio and turning to nimble neo-clouds for cheaper, faster compute. Get tech leader ins...

In this video interview, HyperFrame Analyst Don Gentile explains how data storage is shifting from a passive to an active participant in AI, raising a defining question: bring compute to the data, or data to the compute? He says months of supply chain pressure is pushing enterprises to squeeze more from existing infrastructure and lean on private cloud and neo-clouds. Get

As artificial intelligence innovation outpaces the early days of public cloud, CIOs face the burden of parsing through noise to build a cohesive infrastructure stack, says analyst Scott Sinclair, practice director at Omdia, in a video interview. Get

Every enterprise has vast stores of historical data. This data, if mined effectively, can help improve operational efficiency. However, traditional methods of automated analysis, called clustering, rely on manual labeling and lack sufficient granularity to create meaningful results. Our innovative, domain-agnostic analysis framework can efficiently analyze an unlabeled corpus of...

Data harvest is already underway as bad actors await the description power of quantum computers. In this Tech Barometer podcast, technology experts Marco Graziano, Steve McDowell and Don Gentile explain why IT organizations must implement quantum-resistant encryption now, not later. Get