“Geospatial Infrastructure & Digital Twin: Empowering Circular Economy”

Today’s world runs on data. Thanks to the 4th Industrial Revolution, data has become a ubiquitous globalized commodity at the heart of economies and societies. The new Data Economy is driving digital transformation across industries. Further advancement and adoption of Artificial Intelligence, Cloud Computing, Internet of Things and Big Data Analytics in various industries have produced one of the most disruptive tools in Data Economy known as the Digital Twin.

A Digital Twin is made up of a physical system and its virtual representation, but what’s keeping the Digital Twin paramount is the data that flows between them. The real time data connection, enabled by connected sensors, keeps the virtual twin as closely in sync as possible with the physical twin. Therefore, creating myriad opportunities for organizations to predict outcomes, reimagine processes and better respond to changes.

National Digital Twin needs a robust Geospatial Infrastructure

As Digital Twin gradually becomes instrumental in every industry, many countries are now developing their own National Digital Twin program – an ecosystem of connected Digital Twins – in an attempt to democratize data access and enable collaboration between industries and disciplines.

The relationship between National Digital Twin and Geospatial Infrastructure is symbiotic in nature. Geospatial Infrastructure is required to model and simulate changes in the real world that feeds into the Digital Twin ecosystem. While a nationally-curated Digital Twin will open doors to a whole range of geospatial applications in various economic sectors, creating a robust Geospatial Knowledge Infrastructure.

A tool for sustainable economic recovery

Digital Twin has been adopted in various economic sectors, including smart cities, construction, healthcare, automotive, and manufacturing. As countries move towards a Circular Economy, Geospatial-enabled National Digital Twin will be essential as a tool to optimize development projects, building up resilience and reduce costs, especially in post-pandemic era.

Digital Twin also provide businesses with a complete visibility and situational awareness to enable informed decision making. With predictive modeling capability, businesses gain greater transparency and insight into product behaviors to future-proof operations and build more resilient contingency plans in the long term.