Digital twin group signs two liaison agreements
The Digital Twin Consortium is developing AI and IoT enabling technologies and propelling them across manufacturing.
The Digital Twin Consortium and AIoT User Group have entered into a liaison agreement to create and develop digital twin enabling technologies. The goal is to accelerate the adoption and monetization of digital twins.
Both have agreed to the following:
- Aligning work in Digital Twin Consortium horizontal domains for adoption within vertical environments and use cases, proof of concepts and programs
- Making AI and IoT best practices available for digital twin practitioners through frameworks and trainings
- Creation of open-source reference implementations and solution blueprints
- Realizing interoperability by harmonizing technology components and other elements
- Collaborating on standards requirements
“We are excited about our collaboration with the AIoT User Group,” said Dan Isaacs, CTO, Digital Twin Consortium. “AI and IoT are key enabling technologies for digital twins. AIoT User Group’s network of AI and IoT practitioners, good practices and framework for smart, connected products will be key as we work together to advance the use of digital twins.”
“Digital twins are the key design paradigm for any company dealing with the digitalization of physical products or equipment. AI and IoT are fundamental, both in creating as well as utilizing Digital Twins,” said Dirk Slama, Chairman of the AIoT User Group. “Being able to build on Digital Twin Consortium’s strong digital twin foundation and partner network make them the perfect liaison for us.”
“In order to build really accurate digital twins, you need to combine the power of physics-simulation based approaches with data-analytics-AI based approaches,” said Prith Banerjee, Digital Twin Consortium Steering Committee member and Chief Technology Officer at Ansys. “This is why the AIoT User Group was formed and is a core part of the Digital Twin Consortium’s observations. I am delighted to represent this point of view in being a member of both the boards of AIoT User Group and Digital Twin Consortium.”
Digital Twin Consortium and AIoT User Group will exchange information through regular consultations, seminars and more.
The Digital Twin Consortium and CESMII – The Smart Manufacturing Institute have also entered into a liaison agreement to influence the creation and development of digital twin enabling frameworks and technologies. The goal is to accelerate the adoption and effective use of digital twins to create value. The digital twin is disrupting the entire product lifecycle management, from design to manufacturing, to service and operations. Digital twins offer a great amount of business potential by predicting the future instead of analyzing the past of the manufacturing process.
Both have agreed to the following:
- Collaborating on standardization requirements
- Realizing interoperability by aligning technology components and other elements
- Aligning work in horizontal domains for adoption in vertical domains and use cases, proof of concepts
- Value Innovation Platforms (VIP) programs including:
- Technology, terminology and taxonomy
- Security and trustworthiness
- Conceptual, informational, structural and behavioral models
- Enabling technologies, such as simulation and AI
- Technology stack across the digital twin lifecycle
- Case Study development from initial concept through implementation and operational analysis
- Collaboration on open-source projects, contributions and reference implementations
“Manufacturing corporations can leverage digital twins for reduced downtime and increased performance, among other benefits,” said Dan Isaacs, CTO, Digital Twin Consortium. “We’re excited about our liaison with CESMII, and our efforts to accelerate the use of digital twins in manufacturing.”
“CESMII is excited to engage with the Digital Twin Consortium,” said John Dyck, CEO of CESMII. “Our member organizations and the market more broadly are looking for a more holistic scope, definition and use of digital twins, including a more integrated information framework that spans process design, manufacturing and maintenance.”
– Edited from Digital Twin Consortium press releases by CFE Media.
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