Advanced Data Science Solutions

All scientific domains can utilize data for fundamental research and advanced visualization. In fields such as biology and materials science, data science accelerates discovery by processing and visualizing massive datasets such as genomic sequences, molecular structures and material properties. Machine learning uncovers hidden patterns within secure environments, improves collaboration and supports evidence-based breakthroughs.

Through BIOVIA, Dassault Systèmes' virtual twin approach integrates real-world data with science-based simulation to provide researchers with a holistic view of complex systems.

Modern data science platforms turn raw data into strategic insights through interactive dashboards, automated reporting and advanced forecasting models. By consolidating data from multiple sources into a single semantic framework, organizations gain a unified view of business performance.

With NETVIBES, dashboards consolidate business data in real time, offering end-to-end visibility and predictive insights. This empowers leaders to anticipate market changes, optimize operations and sustain competitive advantage with full traceability.

Industrial AI-driven data science platforms support the full machine learning lifecycle within governed, sovereign infrastructure — from data preparation to model training and deployment. AutoML accelerates development while deep learning models deliver real-time predictions that improve efficiency and spark innovation.

Dassault Systèmes combines multiple AI techniques with science-based validation to maximize value for industry-specific use cases.

Natural language processing tools extract insights from unstructured text, enabling sentiment analysis, automated document classification and machine translation. Deep learning models improve accuracy and language understanding, leading to better customer interactions and more powerful business intelligence.

Dassault Systèmes integrates NLP into its solution portfolio to help companies unlock the full potential of textual data while maintaining data sovereignty.

Machine learning and advanced analytics optimize production workflows and supply chain operations. In manufacturing and logistics sectors, data science enables real-time decision-making, demand forecasting and inventory optimization.

With DELMIA, companies can streamline production planning and logistics coordination, reducing operational costs and improving delivery performance.

Data science solutions exploit IoT and sensor data to forecast equipment failures and schedule preventive maintenance before costly breakdowns occur. Machine learning models identify patterns in operational data, reduce downtime and extend asset lifespan.

Dassault Systèmes' industrial solutions combine predictive analytics with digital twins and science-based modeling to help manufacturers optimize performance and increase resilience.

Data science and AI enable a fundamentally different approach to product design and development. Instead of following a sequential cycle — model first, then test and correct — MODSIM allows modeling and simulation to happen simultaneously. This represents the new industrial reference for product conception.

Data science is embedded in Virtual Twin Experiences and MODSIM (modeling and simulation) workflows, enabling data-driven experimentation, validation and continuous improvement cycles across domains.