Commentaries & Highlights

 PDF Takeaways Gen 7 is the latest iteration of Dassault Systèmes evolution that began more than thirty-five years go, where they have progressed from 3D to DMU to PDM to PLM to Virtual Twin to Virtual Twin of Human, and arrives today at 3D UNIV+RSES 3D UNIV+RSES extends the 3DEXPERIENCE platform into generative AI and Industrial World Models based on science and physics. Virtual companions guide the company through the product lifecycle and enable the development and validation of products digitally. Customer keynotes from well-known companies such as Ford Motor Company, Lockheed Martin Aeronautics, and Vermeer Corporation delivered intriguing insights on how Dassault Systèmes products, including the 3DEXPERIENCE platform and ENOVIA, are used to bring their products to market. Specialists from Dassault Systèmes delivered numerous sessions on new products and capabilities available in the latest product releases and customers such as Emerson, FNSS, and Tesla discussed how they use ENOVIA to solve their PLM related

 PDF Takeaways Not all AI delivers the same value. The way AI is implemented determines both what it can do and the investment required. Understanding the architectural differences between single-system AI, cross-system knowledge retrieval, and agentic workflows is the starting point for any informed investment decision. The fundamental trade-off is effort vs. data scope. Out-of-the-box AI from software providers is limited to one system’s data. Cross-system knowledge retrieval opens the AI’s aperture to the full enterprise, and that is where the real productivity gains begin. The knowledge foundation is the step most organizations underestimate. Cross-system knowledge retrieval is the prerequisite for anything truly agentic. Organizations that skip this step and jump directly to agentic AI typically find themselves in pilot purgatory. Trustworthy AI requires more than good models. Security, reliability, and governance become increasingly critical as AI gains autonomy. When an AI agent can plan, decide, and act independently, the consequences of getting trustworthiness wrong