"In today's world where it seems every day there's a new surprise, having that added insight to mimic your real world and make decisions based on the information and the data that's collected is highly valuable and important," Ara Surenian, vice president of product management for Plex by Rockwell Automation, told ZDNET.
"A big mistake companies make is allowing their desire for perfect to get in the way of good enough," Christine Bush, director of the Robotic Center of Excellence for Schneider Electric, told ZDNET. "Like any digital transformation, it all starts with data. And in most every case, at the onset of the transformation, the data is rarely good enough...good enough is where the process needs to start because the transformation is a journey and needs to start in order to realize the downstream benefit."
"Begin with pilot projects to showcase tangible ROI in controlled settings," Bush said. "This approach not only validates the technology but also helps secure budget approvals and organizational support."
Digital twins have great promise -- the ability to simulate and improve the performance of systems, machines, facilities, and even entire ecosystems, at relatively low cost with software. However, there are potential roadblocks to digital twin deployment and management.
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