Digital Twin Supported Trustworthiness of Complex Systems - Dynamic Environments

Digital twins are an essential part of digital transformation, which promises cleaner, smarter, and more efficient technology solutions across industries. However, in order to satisfy all stakeholders -- technical, business, and regulatory -- digital twins need to operate securely and safely with an understandable and interoperable model for maintaining security and safety assurance. The Digital Twin Consortium Capabilities and Technology Working Group recently published a white paper to address these concerns: Assuring Trustworthiness in Dynamic Systems Using Digital Twins and Trust Vectors. This webinar brings together authors of that paper who will: - Introduce the digital twin concept with communication and trust vectors as the foundation for system-of-system trustworthiness. - Apply the principles of the whitepaper to smart manufacturing – with a focus on adding business value through reliable and resilient operations including: - the role of the trust vector and the corresponding maturity model for each dimension. - digital twin and symbolic AI (agents) to overcome fundamental problems of complex systems – like incompleteness and ambiguity - Give an overview of the DTC trustworthiness working group goals, including data security based on zero trust and qualification of virtual models to ensure safety and security.