Working Groups
In Our Digital Twin Working Groups, DTC Members Collaborate to Tackle Industry-Specific Business and Technology Needs.
Digital twin technology is used for a wide range of applications such as digital engineering, simulation, monitoring, and operational efficiency across industries. Our digital twin Working Groups foster collaboration, knowledge sharing, and innovation by focusing on:
- Horizontal use cases and vertical industry applications: Developing and sharing insights about how digital twins can be applied across a wide range of industries.
- Standards and interoperability: Creating recommendations and advocating for standards and best practices to ensure digital twins can communicate and work seamlessly across different platforms and systems.
- Data modeling, simulation, and analytics: Focusing on the data structures, modeling techniques, and analytics methods used to create and analyze digital twins.
- Security and privacy: Addressing concerns related to the security and privacy of data within the digital twin system.
- Technology innovation: Exploring innovative solutions and technology breakthroughs in areas such as AI that advance digital twin capabilities.
What Digital Twin Working Groups Do:
Working Groups bring together industry experts and stakeholders to collaborate, develop, and promote solutions, frameworks, and best practices that will drive the adoption and advance digital twins. Working Group chairs are members who are business and technology leaders. They are selected by other members.
Some common initiatives and activities of our Working Groups are:
- Presenting research, innovations, use cases and demos
- Exploring digital twin use cases and semantic ontologies
- Designing frameworks to establish cross-domain interoperability
- Producing white papers, webinars, and educational resources
- Investigating ways to leverage innovations such as GenAI in digital twin ecosystems