3DEXPERIENCE Platform Adds Collaborative Data Science Capabilities

Dassault Systèmes has expanded the collaborative data science capabilities of its 3DEXPERIENCE platform as a result of its acquisition of the French company Proxem, a specialist in artificial intelligence-powered semantic processing software and services. According to the company, customers can "capitalize on their data patrimony by engaging in new virtual twin experiences in which important knowledge found in unstructured text data is transformed into actionable content and insights."

Users will be able to automate the interpretation of knowledge found in requirements, regulations, customer and quality feedback, contracts, as well as in scientific publications, research reports or clinical trial results, and transform it into a virtual twin experience, the company says.  

“To be scalable and replicable, AI requires a strong and stable representation model,” said Florence Hu-Aubigny, Executive Vice President, Research & Development, Dassault Systèmes. “Proxem’s strong AI-driven semantic data interpretation and automation capabilities offer new opportunities for 3DEXPERIENCE platform customers.  They accelerate a close connection with consumers, patients, and citizens, capturing insights on experiences and expectations, and empowering business innovators with contextual, accumulated knowledge and know-how. Virtual twin experiences on the 3DEXPERIENCE platform now take AI to the next level, revealing information intelligence and creating strong levers in new areas.  Companies can elevate product design and quality to become more competitive.” 

Dassault Systèmes has integrated Proxem’s main software, Proxem Studio, into the 3DEXPERIENCE platform to complement NETVIBES EXALEAD information intelligence applications.  This has expanded the portfolio of available AI models, while transforming all public and accessible content into a reusable industry knowledge graph, the company says.  Proxem Studio delivers a combination of rule-based natural language understanding, natural language processing, and machine learning technologies used by companies like Air Liquide to better understand supply networks, customer expectations, market trends and other aspects of their business.  

“Eighty percent of overall information is unstructured, non-actionable, and locked in text. With Dassault Systèmes, we will build the multifaceted industry knowledge graph,” said François-Régis Chaumartin, founder, Proxem. 

Sources: Press materials received from the company and additional information gleaned from the company’s website.