Jotne Connect Launches AI Unit to Enhance Digital Engineering
In a pivotal move towards the future of digital engineering, Jotne Connect, a prominent subsidiary of the Jotne Group, has announced the establishment of an advanced Artificial Intelligence (AI) unit. The initiative is designed to innovate and accelerate the standards-based interoperability of Model-Based Systems Engineering (MBSE), Product Lifecycle Management (PLM), and Digital Twin technologies. Under the helm of the esteemed Dr. Aditya Gupta, a researcher of notable repute, this unit promises to infuse a wealth of academic and industrial expertise into the project.
Pioneering Interoperability and Innovation
For over thirty years, Jotne Connect has been a trusted name in the realm of engineering data solutions, particularly known for implementing international standards such as ISO 10303 (STEP). Their robust solutions have found traction in crucial sectors like aeronautics, defense, and manufacturing, with a continued focus on long-term data traceability and digital continuity. The new AI unit aims to enrich Jotne Connect’s existing suite of software platforms, enhancing their capabilities in managing the intricate data associated with engineering practices from inception to decommissioning.
Advancements in PLM and Digital Twin Technology
The newly formed AI unit is set to revolutionize PLM and Digital Twin technologies by embedding intelligent functionalities such as:
1.
Automated Classification and Retrieval: Enhancing the classification and searching processes of engineering and simulation assets through AI.
2.
Intuitive Querying: Introducing AI-driven language models to facilitate user-friendly data analysis.
3.
Predictive Maintenance Solutions: Utilizing structured operational data to predict maintenance needs effectively.
4.
Dynamic Data Linking: Allowing seamless connections between design, requirements, and analysis data over the product lifecycle.
5.
AI-Enhanced Validation: Streamlining validation and verification pipelines to minimize errors while increasing regulatory compliance.
Transforming MBSE with Open Standards
As MBSE reshapes the methodologies for the design and maintenance of sophisticated systems, Jotne Connect's AI initiative will augment these practices significantly. The unit aims to:
- - Integrate semantic reasoning with machine learning within model-based design frameworks.
- - Foster interoperability between diverse engineering models across multiple domains.
- - Facilitate continual improvement of models via intelligent validation and comprehensive data impact analysis.
- - Leverage ISO 10303 data structures, ensuring persistent access to federated models.
This forward-thinking approach is crucial for laying the groundwork for future aerospace systems, smart infrastructures, and sustainable industrial ecosystems, all reliant on effective digital engineering foundations.
The Future of Digital Engineering
Jotne Connect is committed to advancing the application of ISO 10303 beyond its traditional uses. The AI unit will explore:
- - Integration of real-time data feedback loops into digital twins.
- - Development of autonomous systems where cross-domain data convergence is essential.
- - Creation of collaborative MBSE/PLM environments that span entire supply chains.
- - Innovations in smart manufacturing and Industrial Internet of Things (IIoT) with context-aware data analytics.
- - Analyzing discrepancies in multi-domain data using AI-driven modeling approaches.
According to Vilde Marie Sørensen, CEO of Jotne Connect, “The future of digital engineering lies at the intersection of open standards and intelligent technologies. By embedding AI into the core of MBSE, PLM, and SDM workflows, we don’t just enhance productivity but also cultivate interoperable digital ecosystems.”
About Jotne Connect
Jotne Connect specializes in delivering sophisticated, standards-focused software aimed at ensuring data interoperability and managing data across digital lifecycles. Pioneering initiatives in ISO 10303 (STEP), the company is recognized for enabling secure sharing and long-term preservation within the realms of aerospace, defense, and manufacturing. With this new venture into AI, Jotne Connect is set to reshape the landscape of complex engineering data management.
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Jotne Connect.