Building the Perfect Digital Twin: 6 Essentials for Success

If your business isn't using AI-powered digital twins, you might be stuck in the past—while your competitors simulate the future.

Digital twins, once limited to manufacturing, are expanding across industries (and humans as my digital twin has been online for nine months now!), and AI is giving them a serious upgrade. These virtual models of physical assets, systems and even humans allow companies to simulate scenarios, predict outcomes, and optimize performance.

Six critical components are necessary for success:

1: Physical assets (the objects being replicated) 2: Data assets (high-quality data to fuel predictions) 3: IoT sensors (real-time data collection) 4: Immersive user interfaces like XR and VR 5: Governance and oversight (to ensure data quality) 6: Robust infrastructure (cloud and edge computing)

With AI and generative models, businesses can now deploy digital twins faster, tapping into vast unstructured data for real-time insights. As AI helps refine digital twins, the question remains: are businesses prepared to embrace the full potential of these models and reshape their operations from the ground up?

Read the full article on ZDNET.

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