Today’s enterprises are developing and operating physically accurate, AI-enabled digital twins and this gives them the flexibility to design, simulate, and optimize products, equipment, and processes in real time before going to production.
Downtime reduction: Downtime, planned or unplanned, can cost a company significant money. With digital twin technology, businesses can be better prepared to solve issues faster, or avoid them altogether.
Product improvements: Product designers can use the insights from digital twins to improve the product in future iterations or uncover opportunities for new product lines or features based on product usage data.
Optimize service capabilities: Support service technicians and customers with guidance via augmented reality to deliver remote expert service or improve first-time fix rates.
Operational efficiency: Digital twins can expose previously undetectable issues and guide managers to make data-driven improvements.
Improve customer experience: Digital twins can be used to deliver novel experiences and features to customers.
Consistent product quality: Because digital twins have a physical counterpart, operators can see detailed data and insights, find patterns, and resolve quality or service issues proactively.
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