Microsoft's data lakes are revolutionizing the creation of digital twins, which are critical for modern control systems. These digital replicas model physical systems in real-time, helping to simulate operations and predict outcomes. As industrial processes have grown in complexity, developing these twins has become more challenging, requiring extensive data from multiple sources. By leveraging large-scale time-series storage and machine learning, organizations can enhance operational efficiency and preemptively address potential failures in their systems, ultimately saving costs and minimizing downtime.
Microsoft's data lakes facilitate the creation of complex, large-scale digital twins by integrating data from various sources, enhancing industrial processes and predictions.
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