Proxem Natural Language Processing Enhances NETVIBES-EXALEAD Information Intelligence on the 3DEXPERIENCE platform

With Dassault Systèmes’ recent acquisition of French startup Proxem, we are strengthening NETVIBES-EXALEAD Information Intelligence on the 3DEXPERIENCE platform.

Proxem brings deep learning applied to Natural Language Processing (NLP). A branch of Artificial Intelligence, NLP enables computers to understand human language, delivering insights to help enterprises improve productivity and sustainability, create better products more efficiently and make better business decisions. Approximately 80% of companies’ data is in text format. With these large quantities of text, NLP can help us to read, synthesize, process, translate and understand what is happening. Machine learning has accelerated the advancement of NLP technology in recent years, and it continues to progress.

Read more about Proxem’s approach to NLP on their website.

“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,” said Florence Hu-Aubigny, Executive Vice President, Research & Development, Dassault Systèmes.

“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.”

Proxem Studio, integrated into the 3DEXPERIENCE platform to complement NETVIBES-EXALEAD Information Intelligence applications, accelerates the portfolio of available AI models, while transforming all public and accessible content into a reusable industry knowledge graph.

Read more about Dassault Systèmes’ acquisition of Proxem.

Discover Information Intelligence on the 3DEXPERIENCE platform.

 

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