  Multiple forms of digital transformation are imminent. Digital Twins
represent one concept. It is gaining momentum because it may offer real-time
transparency. Rapid diffusion of digital duplicates faces hurdles due to lack
of semantic interoperability between architectures, standards and ontologies.
The technologies necessary for automated discovery are in short supply.
Progression of the field depends on convergence of information technology,
operational technology and protocol-agnostic telecommunications. Making sense
of the data, ability to curate data and perform data analytics at the edge (or
mist rather than in the fog or cloud) is key to value. Delivering engines to
the edge are crucial for analytics at the edge when latency is critical. The
confluence of these and other factors may chart the future path for Digital
Twins. The number of unknown unknowns and the known unknowns in this process
makes it imperative to create global infrastructures and organize groups to
pursue the development of fundamental building blocks and new ideas through
research.
