Dassault Systèmes’ Virtual Twin Experiences powered by AI enables industries to enter Generative Economy

Coupling the Experience Economy - where experience counts more than product, with the Circular Economy – where reducing, reusing, and recycling are the main principles, results in a greater Generative Economy that reaches a new balance to generate more than is consumed. All the industries we serve should go beyond the current digital transformations. From inventing self-healing materials to growing products rather than manufacturing them, this requires a complete metamorphosis to continue serving the needs of 8 billion people while respecting the boundaries of our planet. 

At Dassault Systèmes, we are committed to enable our customers across-industry to think and operate in a generative way and create new net positive business models. We provide them with Virtual Twin Experiences.

Virtualisation of knowledge

While data science and AI are very hot topics, our work with AI started many years ago: our users have already augmented with AI through our Industry Solution Experiences. We are leveraging the current acceleration of AI to continue maximising the virtualisation of knowledge and know-how to open new values and potential for our customers, their businesses, and people, demonstrating the power of Virtual Twin Experiences Powered by AI. 

We believe in using AI in three complementary ways: for sustainability, by developing environmentally efficient products using circular business processes and maximizing value chains; for operational excellence, delivering efficiency and redirecting resources towards innovation for a more competitive business; and for the workforce of the future, upskilling with augmented contextual skills, knowledge and know-how and role guidance. The general trend among businesses is to use AI primarily to reduce cost – but at Dassault Systèmes, we are orienting AI with MOD/SIM/DATA to enable our customers to enter the Generative Economy. 

Successful companies gain the full benefits of data & AI by coupling them with the scientific representation of their product/factory/company. 

Examples of industry uses cases

In the Manufacturing sector, standards, regulations, and competition are raising expectations with automotive manufacturers. Every design decision is weighed against large sets of critical KPIs that contradict price, weight, CO2 emission, safety, etc.

With MOD/SIM/DATA and AI, every designer can easily understand the impact of their decisions on all criteria. They can leverage knowledge, supplier value chain content and catalogs, procurement, logistics, best practices, definition of new materials, and more to select the most relevant combination for a better product.

Here, AI-enabled virtual twins help navigate high-dimension complexity and provide a new level of synthesis to guide decisions. We offer a major Car OEM with a unique combination of artificial intelligence, machine learning, collaborative business processes, and an enriched single 3D data model of the vehicle to better manage the business impacts of market volatility.

Role of AI in revealing the invisible

They can aggregate equipment designs, configurations, historical data, and forecasts to test different design scenarios in a virtual twin. They can understand, anticipate, quantify, and optimise vehicle prices and cost and improve equipment-purchasing negotiations by sharing these insights with other stakeholders. 

In the Infrastructure & Cities sector—encompassing nuclear, oil and gas, and renewable energy—we use virtual twin experiences to elevate data from engineering and construction through maintenance and operation. Virtual twins are a game changer, providing science-based models for interpreting, understanding, and contextualizing real-world data from sensors. AI is accelerating these levers by revealing the invisible. Customers can learn from the past to navigate the future using predictive models, such as anticipating deviation risks in construction phases.

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