The Digital Twin Consortium (DTC) has announced a significant expansion of its scope to include the development and execution of advanced digital engineering methodologies throughout the digital twin lifecycle.
This progression builds upon the consortium’s expertise in digital twin methodology and enabling technology. It expands the DTC’s focus to cover the key domains and disciplines throughout the digital engineering ecosystem, including Model-Based System Engineering (MBSE), digital thread, and related strategies.
By integrating advanced methodologies and leveraging industry-wide adoption of DTC existing frameworks and new work products in progress, the consortium is working to develop further and drive the adoption of leading practices for the digital engineering ecosystem.
“This expansion represents a natural evolution of our mission,” said Dan Isaacs, CTO and GM of the DTC. “By embracing a wider range of digital engineering practices, augmented where most beneficial by the infusion of AI including Multi-Agent GEN AI, DTC is well positioned to enhance the digital engineering ecosystem further and address the complex challenges facing the industry today.”
Key benefits of this expanded focus include:
- Improved integration of digital twin technology through advancements in digital engineering practices
- Strengthened security and trustworthiness, including AI-integrated approaches in digital engineering processes
- Enhanced data strategies and frameworks for increased accessibility and traceability towards improved interoperability
- Increased collaboration opportunities across various digital engineering disciplines
“Through our member’s value-driven innovation, collaboration, and demonstrated thought leadership, DTC is committed to driving continuous growth and evolution across the digital engineering landscape,” added Isaacs. “This expansion, coupled with the integration of AI technologies, positions DTC at the forefront of digital transformation efforts across industries.”
