Digital Twin World Day 2

• Discussing the critical components needed for developing a business case to justify the need for Digital Twins within the organization, and the importance of defining key business goals.  
• Creating seamless integration with Operations to enable effective integration within business processes. 
• Embracing Digital Models Across the Entire Project Lifecycle for Digital Asset Visualisation 
• Machine Learning and predictive analytics for analysing performance data to drive actional business insights. 

• Digital Twin enablers discussed – IoT, Edge, AI, RPA and more… What do you need in your toolkit?  
• What are the opportunities posed through these synonymous technologies and what are the risks? 
• Real- life applications discussed.

• Enabling R&D and auto design – Assessing performance outcomes to develop further product refinements, before even starting production.  
• Strategies for breaking down data silo’s for an integrated approach. 
• Digital Twins enabling convergence of existing gaps between physical and virtual versions of product prototypes, shop floor and actual vehicle on the road. 

• Understand how road mapping is disciplined executed and how agile approach is being implemented
• How to work with digital twins in real life and concrete examples applied
• IOT journey is to become mobile – sharing of lessons learned

Exploring the ways in which Digital Twin technology was applied when developing the COVID-19 vaccine, accelerating drug production, enabling a faster time to market and higher quality and reliable vaccines.