Webinar: Data Science to power virtual twins

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Join this webinar with Dassault Systèmes to learn how you can leverage data and artificial intelligence to supercharge your organization and improve multi-discipline collaboration to drive strategic planning and operational efficiency to stay ahead of the competition.

Learn how Dassault's NETVIBES data science solutions can transform your digital assets, data, models and processes into actionable context-aware insights to represent and operate your business with low- or no-code workflows.

Following an introduction to NETVIBES, our subject matter expert will demonstrate how to connect data, decisions and operations with data-driven solutions applicable to various industries.

Why watch?

Discover our end-to-end offering and demonstrations to put your data to work, from data ingestion to actionable insights for better informed decision-making

See our multi-industry AI-powered use cases in action

Attendees will learn

• Data-driven virtual twins differ from digital twins
• Collaboration combined with embedded analytics and artificial intelligence accelerate product and process innovation
• Organizations can realize significant product part savings by combining AI and 3D Similarity technologies
• Businesses are able to optimize in-service fleet availability with AI-enabled predictive maintenance
• and more!

When

Wednesday, February 26, 2025 · 11:00 a.m. London (GMT +0:00)

Presenters

Jan Thomas - NORTHERN EUROPE Technical Sales Director, Dassault Systèmes

With over 16 years of experience in the field of Product Lifecycle Management, software development and data analytics, Jan Thomas is a Senior Technical Director with a deep focus on data and analytics, particularly in the context of PLM and enterprise systems. His expertise encompasses search and analytics focused on AI-enabled, data-driven virtual twin experiences.

Jan works closely with customers in Northern Europe, focusing on NETVIBES solutions to unlock transformative business value, leveraging data for organizations managing complex product

Jon Excell - Editor, The Engineer