Artificial Intelligence (AI) is rapidly reshaping industries, with engineering and manufacturing at the forefront of this transformation. From enhancing decision-making processes to driving efficiency and sustainability, AI is enabling unprecedented progress. Yet, for many organizations, fully integrating AI into their operations remains a challenge. That’s why The Engineer, the UK’s leading engineering publication, provided a valuable way to explore AI’s current and future potential through its AI Week initiative.
Throughout this dedicated week, Dassault Systèmes contributed critical insights into how AI is fueling innovation and solving specific industry challenges. Building on real-world examples, the dialogue opened on how businesses can effectively harness AI to remain competitive and resilient in an evolving landscape.
Supporting the Generative Economy thanks to Virtual Twin Experiences
As the Experience Economy and Circular Economy converge into the Generative Economy, industries must create sustainable universes. The feature article with Morgan Zimmermann, CEO of NETVIBES, and Patrick Johnson, EVP of Corporate Research & Sciences, dives into how Dassault Systèmes virtual twin experiences are the right lever in this context. The science-based virtual twins combine data science, industry know-how, modeling and simulation boosted by AI, and bridge the gap between the physical and virtual worlds, enabling organizations to make data-driven decisions that address their most complex challenges. AI is key here, providing actionable insights that advance sustainability, operational efficiency, and workforce upskilling.
Explore how industries leverage virtual twins to enter the Generative Economy.
Roundtable Insights on AI’s Meaning for Engineers
Complementing this forward-looking perspective, Morgan Zimmermann participated in a live panel discussion, “What Does AI Mean for the Future of Engineering and Engineers?”, alongside industry leaders from organizations like BAE Systems and Monolith AI. The discussion emphasized the opportunities AI unlocks—from automating repetitive tasks to enabling innovation—and explored how engineers can position themselves for success in an AI-augmented future.
Revisit the full lively debate and expert insights in the on-demand panel session.
AI-Powered Virtual Twins
To further illustrate the practical applications of AI, Dassault Systèmes presented a live webinar entitled “Data Science to Power Virtual Twins”. Led by Jan Thomas, Northern Europe Technical Sales Director, the session dissected how AI can leverage data to boost collaboration, align planning with strategic goals, and improve operational efficiency. Dassault Systèmes’ NETVIBES data science solutions bring clarity to complex systems, enabling informed decisions across industries from manufacturing to infrastructure.
Watch the webinar on-demand to uncover actionable AI insights.
Transformative Impact of AI on Engineering
Further engaging audiences, The Engineer featured a video interview with Morgan Zimmermann in conversation with The Engineer Editor, Jon Excell, where they explored AI’s long-term impact on engineering. He shed light on how Dassault Systèmes aligns its AI capabilities with customer needs to foster innovation, efficiency, and resilience across sectors.
Watch the interview with Morgan Zimmermann to learn about AI’s emerging role.
Addressing Business Challenges with AI-Powered Solutions
Dassault Systèmes explored specific use cases where AI-driven virtual twin experiences address pressing business challenges. These include optimizing multi-disciplinary collaboration in capital-intensive programs, improving part management through AI and 3D similarity technologies, and enhancing fleet availability with predictive maintenance strategies. Each case illustrates AI’s ability to transform business operations by providing actionable insights, reducing costs, and accelerating decision-making.
- AI-Driven Virtual Twin Experience for Capital Intensive Programs: Discover how virtual twin technologies streamline data workflows to ensure on-time, on-quality and on-budget complex project delivery.
- AI-Guided Product Part Intelligence: Learn how organizations save costs by standardizing and optimizing part management with AI-driven tools.
- AI-Powered Virtual Twins for Assets in Operation: Explore how predictive maintenance improves fleet reliability while minimizing downtime across industries.
Want to learn more? Discover additional use cases.
Brand content creator on the NETVIBES Marketing team