RPA Analytics and the Digital Twin
Gartner placed digital twin technology among the top 10 strategic technology dynamics in business today. This concept merges the physical and digital world of the workplace, where every product has a digital replica of itself. From design to development, a digital footprint is made to fully represent a company’s tangible product. Thus, the lifeblood of the organization has a fully digital replica of itself, which accesses data in real-time. Through digital twins, analyzing data is instantaneous, efficient, and goes much further than manual data stimulation. It can help detect early problems in the product life cycle, generate warnings to the user, and develop new opportunities through simulations.
Leveraging AI and big data, the digital duplicates of the physical aspects of the business are created using sensor technology. Engineers and development teams creating these digital replicas access data from various sources of the business. Paired with AI algorithms, a virtual representation of a given asset is created, stored, and can be accessed even before a physical product is manufactured. Applying analytics to these digital replicas will give deeper insight into the physical product, and provide consistent access to new data as it comes. Industries where digital twins are prominent are: