Helping Industry Leverage Data Science and AI to Enter the Generative Economy

Our science-based virtual twins combine data science, industry know-how, modeling and simulation boosted by AI, and are helping to form the Generative Economy

UNTiL NOW

Virtual twin experiences powered the Experience Economy, helping our clients meet customer demands from design to production and use of products

 

FROM NOW ON

UNIV+RSES – the combination of multiple virtual twins – will unify all stakeholders, facilitating the sharing of knowledge and know-how to shape the Generative Economy

Information Intelligence has been core to Dassault Systèmes’ strategy and portfolio for years. Today, we’re harnessing the acceleration of AI to help our clients do even more with their data.

Discover more about our approach in a conversation with Patrick Johnson, Executive Vice-President, Corporate Research & Sciences and Morgan Zimmermann, Chief Executive Officer, NETVIBES.

What is Dassault Systèmes’ approach to Artificial Intelligence?

M.Z.: While data science and AI are very hot topics, our work with AI started many years ago: our users are already augmented with AI through our Industry Solution Experiences. As the Experience Economy and Circular Economy converge into the Generative Economy, our aim is to provide our customers with the means to create their own sustainable universes to address their greatest challenges. Our approach consists of observing and revealing insights about our complex world: learning from those observations, uncovering actionable evidence and truly elevating the understanding of our complex world through sharable, multi-scale, multidiscipline representations. We’re thus bringing the power of modeling and simulation to data, delivered into the core of our customer’s processes thanks to virtual twin experiences. Generative technologies are the key pillars and enablers of this new era. Ultimately, we’re creating virtual universes – powered by representations, simulations and next-generation AI engines – in the three sectors of the economy we serve. We’re helping organizations create next-generation products and services for people and for our planet. We do this by empowering our customers to connect the dots: structuring data into information, giving it meaning through contextualization and ultimately revealing the invisible. Maximizing the virtualization of knowledge and know-how opens new value and potential for industry, businesses and people. This is the power of virtual twin experiences.

What competitive advantage does Dassault Systèmes’ virtual twins bring to AI?

P.J.: We’re passionate about supporting industry knowledge and know-how. We’ve accumulated a wide set of industry-specific knowledge and deep understanding of processes and practices through massive investments. Consequently, our solutions enable customers to capitalize and leverage a profound “Knowledge Book” of data, information, relationships, models, semantics, ontologies, domain corpuses and experiences – providing an industry-grade guiding path toward data-centric values and a Generative Economy. This approach opens a totally new category of solutions, with MOD/SIM/DATA acting as an unbreakable paradigm for shareable, explainable representations and meaningful experiences to transform business.

M.Z.: 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 knowledge and know-how and role guidance. The general trend among businesses is to use AI primarily to reduce cost – but we’re orienting AI with MOD/SIM/DATA to enable our customers to enter the Generative Economy.

Can you share some concrete examples of how AI-enabled virtual twins are helping Dassault Systèmes customers?

M.Z.: Absolutely. In the Manufacturing Industries sector, standards, regulations and competition are raising the level of expectations with automotive manufacturers. Every design decision must be weighed against large sets of critical KPIs that might be in contradiction: 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 and value chain content and catalogs, procurement, logistics, best practices, new materials definition 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. In medicine, our AI-powered MEDIDATA solutions allow pharmaceutical companies to model and simulate data to create virtual patients (simulants) and cohorts (synthetic control arms) for wider, more diverse and more effective clinical trials. MEDIDATA’s Synthetic Control Arm (SCA) leverages cross-industry historical data from 30,000 clinical trials and 9 million patients, unleashing scientific research, lowering costs and accelerating timelines when a control group is hard to recruit or retain, such as with rare diseases. An SCA offers a vast improvement over the most common method: searching existing medical literature for comparisons. Here, AI-enabled data opens a new world of generative possibilities, fueling creativity, innovation and new business avenues. Finally, our customers in the Infrastructure & Cities sector – including nuclear, oil and gas and renewable energy – 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.

How do you foresee data sciences shaping a more positive future for industry and our planet?

P.J.: We’re focusing on catalyzing the convergence between the current Experience Economy – where experience counts more than product – and the emerging Circular Economy, an approach more respectful of the planet and its resources. We’re convinced that the resulting Generative Economy requires the powerful opportunities provided by virtual worlds: enhanced, seamless collaboration, ability to foster imagination, and sharing understanding and experiences of any product or process before it’s deployed in the real world. Data sciences provide one pillar – inseparable from modeling and simulation sciences – to create sustainable processes and products that benefit citizens, patients, consumers and companies, and our environment, society and world by elevating understanding through virtualization of companies’ knowledge and know-how capital. As a scientific company, we leverage and orient those disruptive sciences in virtual twin experiences offering a new 21st century approach to creativity, innovation and responsible transformations.

Discover more: Dassault Systèmes and Mistral AI Partner to Offer Trusted, AI-Powered Industry-Grade Solutions to Accelerate the Generative Economy

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