How do we navigate AI for Industrial Transformation?
From design to industrialization, 80% of vehicles and aircraft today have developed their complete digital twin and now their virtual twin with Dassault Systèmes, especially with CATIA. Those solutions help the company extend its reach to other critical sectors, such as smart cities, energy infrastructures, and even the human heart.
AI serves not just as a tool for automation but as an enhancer of human capability, allowing engineers, designers, and architects to explore more innovative and sustainable solutions within development cycles. The core of AI lies in data, transforming it into valuable knowledge and expertise. This resembles a modern renaissance, where accumulated industrial know-how is made accessible across the entire product creation and industrialization value chain.
We are not automating to replace engineers, but augmenting their abilities to explore more innovative and sustainable solutions.
Olivier SAPPIN, CATIA CEO
Virtual Twins: Bridging the Virtual and Real Worlds
Virtual twins are pivotal in integrating AI with industrial data, offering a comprehensive digital representation of physical assets. By creating virtual twins of products such as vehicle batteries, Dassault Systèmes with the 3DEXPERIENCE platform enables detailed simulation and testing in a virtual environment, reducing the need for costly and time-consuming physical prototypes.
Detailed Simulation with Virtual Twins
- Simulation and Testing: Virtual twins allow the simulation of product characteristics such as battery autonomy, heat resistance, and steering angle, predicting performance under various conditions.
- Design Optimization: Engineers and designers can refine product designs virtually, enhancing efficiency and sustainability at the early concept before physical production begins.
This approach not only saves time and resources but also enhances competitive advantage by enabling rapid prototyping and testing.
AI-Driven Enhancements in Virtual Twin Solutions
AI is crucial for advancing virtual twin solutions. It provides predictive insights that accelerate design and decision-making processes. AI can foresee potential issues and optimize performance by capturing and analyzing data from both virtual models and real-world usage.
Predictive Capabilities
- Rapid Prototyping: AI algorithms enable quick generation and testing of multiple design alternatives within CATIA
- Risk Management: Predictive analytics help in identifying and mitigating risks in complex projects, ensuring timely and cost-effective delivery.
“AI allows us to explore solutions rapidly, providing insights that would traditionally take months to discover.”
One Single Source of Truth
For more than 13 years, Dassault Systèmes has introduced the 3DEXPERIENCE platform to capitalize on the potential of virtual twins. This data-driven platform elevates information to knowledge and expertise, making it accessible and reusable across various domains.
Some key features:
- Data Structuring: Ontologies are used to intelligently structure data, enhancing its usability.
- Integration of Real and Virtual Data: By combining real-world usage data with virtual models, the platform delivers comprehensive insights for decision-making.
Protecting Industrial Data in the Age of AI
Data protection is paramount as industries leverage AI for innovation. Data anonymization ensures that proprietary industrial knowledge remains secure while benefiting from AI advancements.
Data Security Strategies
- Anonymization Techniques: Used in sectors like healthcare, these techniques protect sensitive data while enabling advanced simulations.
- Proprietary Data Utilization: AI is trained on industrial data for the exclusive benefit of its originators, ensuring competitive advantage.
Ready to embrace the Generative Economy
Dassault Systèmes prepares industries for a generative economy, where the focus shifts from products to experiences, with a new factor in the balance: circularity. By leveraging AI and virtual twin technology, engineers and designers can innovate sustainably, reducing development cycles and enhancing operational excellence.
AI gives engineers superpowers to accelerate product development, reduce life cycles, and optimize production.
Olivier SAPPIN, CATIA CEO
As industries face increasing demands for competitiveness and sustainability, adopting these advanced technologies becomes imperative. Watch our latest webinar to learn how you, as an industrial company, can harness generative AI for your business needs.
And explore how CATIA transform your design and decision-making processes by integrating AI and virtual twins into your operations.
