Digital solutions promise significant value for an organization—value that could never have been realized prior to the advent of connected, smart technologies.

 

Of interest is the notion of a digital twin: a real-time digital image of a physical object, system, or process that helps optimize business performance. Until recently, the digital twin, and the massive amounts of data it processes, often remained elusive to enterprises due to limitations in digital technology capabilities as well as prohibitive computing, storage, and bandwidth costs. In August 2014 a Digital Twin Research Expert, Carlos Miskinis, described the concept of an ontological digital twin technology that includes distinctive parts: "A physical twin it can draw the structure and building elements from, and  A digital Field or a digital simulation that can project he structure it adopted." 

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"At D2K we have been exploiting the use of digital twin technology within our Enterprise AI solutions since our inception.  Domain models that serve as digital twins are conveniently constructed using a generic modeling environment that delivers drag-and-drop capability across a wide variety of domain, equipment and process libraries. More importantly, the digital twins are tightly coupled within our reasoning engine software which allows users to rapidly exploit the benefits – including model-based systems engineering, requirements traceability and management, offline analysis from historical data, online state and health assessment, automated scheduling and planning, system level test and validation, guided maintenance, and operator training – just to name a few.  With the creation of a digital twin, companies solve physical issues faster by detecting them sooner, predict outcomes to a much higher degree of accuracy, design and build better products, realize value and benefits iteratively and faster, and ultimately, better serve their customers."