• A Digital Twin is a virtual, true-to-life replica of a specific real-world asset.
• Digital Twins enable timely, optimized, real-world outcomes by using synchronized virtualized models.
• The Digital Twin paradigm can be applied to most real-world scenarios once the relevant elements are available.
• There is no "one size fits all" approach when it comes to Digital Twins.
• Greenfield implementations of Digital Twins are rare and are nearly always integrated into existing solutions (processes, workflows, software, infrastructure).
• The implementation and integration challenges are heavily dependent on the context and domain of the twinned physical real-world assets.
• For new Digital Twin initiatives, best practice is to start small, with a building block approach for each step of the Digital Twin workflow.