You may have formed an impression of digital twins based on The Matrix movies or The Sims video game series. But advances in cloud infrastructure, edge computing, IoT, distributed data management platforms, and machine learning capabilities have transformed digital twins from science fiction to a more mainstream business capability. Bringing digital twin capabilities to companies requires technologists to cross the chasm and better understand their business’s operations and operational technologies (OT). “CIOs and IT leaders need to understand that OT is a different world than IT and a perfect digital twin is the merger of both,” says Jens Beck, partner of data management and innovation at Syntax . For a long time, businesses could afford a separation between OT and IT, but that’s no longer the case for manufacturers, construction, retail, and other businesses that must connect the physical and digital worlds. A digital twin is one conduit to enable this connection , which has operational benefits for optimizing production and improving quality. Sometimes, more importantly, it can drive strategic benefits when machine learning on real-world data is used to improve products, services, and business processes. [ Read the InfoWorld reviews: Amazon Honeycode | Microsoft Power Apps | Google […]
7 steps to take before developing digital twins
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