Data management professionals are facing increasing difficulties in managing the vast amounts of real-time data generated by IoT devices, straining traditional processing methods.
Digital twins serve as effective tools for managing live data complexities, offering powerful analytics and prediction capabilities that improve operational monitoring and decision-making.
Unlike traditional methods reliant on human intervention, digital twins continuously monitor live operations, ensuring organizations can respond swiftly to dynamic challenges with enhanced situational awareness.
Emerging technologies like digital twins and generative AI can revolutionize data management and analytics, addressing the challenges posed by real-time data in today's complex systems.
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