The Digital Twin Consortium (DTC) recently announced its Digital Twin Testbed initiative, an opportunity for members to showcase innovation in digital twin evolution. The initiative is a collaborative, holistic approach members can use to develop, test, verify, and validate digital twin systems and advance digital-twin-enabling technologies.
“The DTC Digital Twin Testbed initiative opens new horizons for our members, allowing them to demonstrate how they’re pushing the boundaries of digital twins and enabling technologies,” said Dan Isaacs, GM and CTO of DTC.
“Through the DTC Digital Twin Testbed initiative, Sev1Tech will be able to test the integration of emerging technologies, such as Generative AI, to enhance digital twin capabilities,” added Greg Porter, Solution Architect for Sev1TEch, a member of the DTC Technical Advisory Committee and DTC Steering Committee representative. “This includes AI co-pilots that augment digital twin intelligence and digital twin-based multi-agent generative systems that enable increased autonomy and value.”
The testbed initiative will support a maturity assessment framework of required digital twin capabilities based on quantifiable key performance indicators (KPIs) for testing, verification, and validation. This includes key attributes of digital engineering such as predictive modelling and simulation accuracy, AI-enhanced digital decision support and optimisation, real-time synchronisation and data integration, system-of-systems collaboration and information sharing, security and trust protocol implementation and validation, cross-platform interoperability and integration, and more.
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