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AI Advancements and Power Consumption

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Generative AI and other advanced AI applications are in the spotlight for driving up energy consumption. Experts are exploring more efficient models to reduce power usage. The emergence of energy networking—integrating AI with power grids—is also gaining traction, offering a smarter way to manage and optimize energy consumption and emissions within organizations

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Shifts in IT Spending

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Companies are focusing IT investments on outcomes that directly impact business metrics. This includes moving from legacy systems to more flexible, cloud-based and hybrid solutions, driven by a growing emphasis on predictability and adaptability in operations​

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Hyperscalers Driving Real-Time Data Ecosystems

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Large-scale data infrastructure providers, known as hyperscalers, are revolutionizing real-time AI applications. This trend is poised to enhance the speed, accuracy, and scalability of AI-driven solutions across sectors like healthcare, finance, and marketing.

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Rise of Quantum Technologies

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Post-quantum cryptography (PQC) is being integrated into conventional systems, addressing concerns about future quantum threats. Additionally, quantum networking is anticipated to facilitate communication between quantum computers in the coming years, potentially transforming industries reliant on secure and rapid data processing​

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