“Application and business intelligence leaders can use digital twins to decrease complexity in their IoT ecosystems while increasing efficiency”.
Digital twins are a design pattern that decouples each system from the physical console in order to connect and accesses the data to the business units and systems of their organization. 1) Problems include: A) “The traditional approach wastes effort and resources because the data is overlapping and redundant”, says W.Roy Schulte, Gartner. B) “It’s very complex & expensive to establish a new channel for every new application that needs to access the data”. 2) Future perspectives: A) Gartner research, 24% of organizations that either has Internet of Things (IoT) solutions in production or IoT projects in progress already use digital twins; B) 42% plan to use it within the next three years; 3) continuous intelligence. A) The twin has to been continuously updated. B) Combining the twin data with business rules, optimization algorithms or other prescriptive analytics technologies, can support human decisions or even automate decision making. 4) Encapsulation: A) the main purpose of a digital twin is to act as a proxy for its tasks. B) As the twin is a piece of software, it can be programmed to encapsulate data. C) Encapsulation significantly reduces the work needed to maintain and enhance applications and physical things. 5) Conclusion: A) as digital twins, they should be included in every purchase decision, as their capabilities will be as vital for the success of the organization. B) The rise of digital twins coincides with the rise of the IoT; C) when buying machines, support for digital twins and continuous development of twin capabilities should be a selection factor.