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Five Ways to Find the Value of Digital Twins

By Floyd Baker, Vice President at Antea USA. August 20, 2021
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In today’s digital data-driven environment—which 2020 only accelerated—rapid decision making is crucial to effective asset integrity management (AIM). Operators must respond quickly and decisively to dynamic, complex, and ever-evolving data streams. 

Next-generation asset integrity data management and artificial intelligence (AI) ecosystems help operations, maintenance, and engineering teams work together to develop smarter maintenance programs, facilitate remote operations, and mitigate operational risk at scale.

However, despite the long-term time and cost savings that migrating could provide, operators are often resistant to replace legacy asset management and dated AIM systems. This is usually due to a perceived lack of return on investment or the ability to justify the business case, resistance to change, culture, complexity, and cost. The resulting challenges of maintaining and improving outdated legacy systems create manual handoffs, costing operators’ valuable recruits and causing them to lose out on new opportunities and cost savings. 

One of the most important opportunities is digitalization, visualization, and access to actionable information, which is best achieved via intelligent AIM software with digital twin technology. Yet, can it really create enough value to justify the business case?

Five Ways to Find Value of Digital Twins

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