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Focus on AI Risk Management

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Companies are becoming increasingly aware of AI-related risks. New AI policies are being developed to ensure responsible use, with a focus on balancing augmented intelligence. Techniques like Retrieval-Augmented Generation (RAG) are being highlighted for producing authoritative results and improving AI transparency

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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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