AI-Powered Solutions: Artificial Intelligence for Business Innovation
Dassault Systèmes delivers Artificial Intelligence (AI)-driven solutions tailored to industry datasets so businesses can automate processes, optimize decision-making and accelerate innovation.
What is AI Software?
AI software simulates human intelligence to perform complex tasks such as predictive analytics, image recognition and natural language processing (NLP). Dassault Systèmes’ AI solutions integrate machine learning, data analysis and domain expertise to unlock business value, improve operational efficiency and enhance product and process performance.
Our approach is built on the concept of Generative Virtual Twin Experiences that learn, represent, understand and impact the real world by connecting representations with real-world observations.
Evolution of Artificial Intelligence
Artificial intelligence has grown from a theoretical idea – how to mimic human intelligence to solve complex issues and find new kinds of answers – into one of the most powerful forces shaping today’s economy and society. Over more than seventy years of research and innovation, AI has advanced through distinct waves of discovery and continues to open new possibilities for industry.
- 1950s–1970s
- 1970s–1980s
- 1990s–2000s
- 2010s
- 2020s
- Looking forward
Early concepts and first milestones
In 1950, Alan Turing asked, “Can machines think?” and proposed the Turing Test to measure machine intelligence. Only a few years later, in 1956, John McCarthy coined the term artificial intelligence at the Dartmouth Conference. Early AI focused on symbolic reasoning—programs that followed logical rules to address problems—but limited computing power and over-optimistic expectations slowed progress.
Expert systems and the first AI winters
Research shifted toward expert systems designed to capture human expertise in narrow fields. While successful in specific tasks, they were expensive to build and maintain. Funding and interest declined in what became known as the AI winters, as the technology struggled to meet early promises.
Machine learning and the big data Era
With more powerful computers and the emergence of massive datasets, machine-learning techniques—algorithms that learn patterns from data without explicit programming—began to thrive. Neural networks gained traction, enabling predictive analytics and more accurate decision-making across industries.
Deep learning breakthroughs
Multilayered deep neural networks dramatically improved performance in image recognition, natural language processing and speech understanding. Landmark moments included IBM’s Watson winning Jeopardy! in 2011 and DeepMind’s AlphaGo defeating the world champion of the game Go in 2016, proving AI’s ability to handle extraordinarily complex problems.
The generative AI revolution
Generative models now create original text, images, video and audio at scale. Transformers and large language models (LLMs) such as ChatGPT and other multimodal systems can deal with complex requests in natural language and provide ultra-fast answers across many types of data, generating any kind of output. This new class of AI is driving measurable business gains, from faster product design cycles to significant reductions in time to market.
Looking Forward
Research is rapidly moving toward explainable AI, federated learning, agentic AI and quantum-enhanced algorithms—technologies that promise more transparent, secure and autonomous systems.
The Dassault Systèmes Difference
Building on these global advances, Dassault Systèmes combines AI with science-based solutions. This enables organizations to experiment, learn and innovate by combining modeling, simulation, data science and AI-generated content in secure industry environments. By connecting real-world observations and inputs with virtual representations and models, we turn data into validated knowledge and operational know-how, helping companies cut development time and accelerate sustainable innovation. Because we provide science-based space to understand, experiment and learn, we make AI and generativity trustworthy.
Key Benefits of AI Tools
Enhanced Decision-Making Capabilities
AI analyzes vast amounts of data to identify patterns and trends, providing actionable insights that support faster, more accurate decisions across all levels of an organization.
Efficient Task Automation
AI platforms automate repetitive, time-consuming tasks so employees can focus on higher-value activities that drive growth.
Reduced Human Error
AI software cuts the risk of manual errors by automating data entry and processing, ensuring reliable business operations.
Advanced-Data Management
AI tools process and analyze large volumes of data, allowing organizations to extract insights and act on them more quickly and precisely.
How Do We Express AI & Data Science?
Real World Evidence
Transform operational and clinical data into trusted insights. By turning diverse data streams into reliable evidence, RWE helps organizations make faster, safer decisions and meet regulatory requirements with confidence.
Ontology
Connect 2D and 3D models, IoT signals, text and more within a single semantic framework. This shared “language of data” eliminates silos, improves collaboration and ensures end-to-end traceability.
Generative Knowledge & Know-How
Capture the expertise of people, processes and past projects and turn it into AI-powered guidance. Combined with Virtual Twin Experiences, this creates a continuous cycle of learning and improvement that scales operational excellence.
Artificial Intelligence Solutions Across Industries: Industrial AI
At Dassault Systèmes, we make Industrial AI a secure, sovereign, traceable and science-based set of solutions. It generates reliable and context-aware representations of real-world objects and processes, including their interactions across the entire lifecycle.
Industry AI gathers a sovereign and science-based AI with a human-centric and knowledge-driven approach. It is orchestration-focused by powering a model-based, service-oriented enterprise, reshaping value creation continuously.
Use Cases: Key Business Functions of AI Solutions
AI enhances critical business functions by automating processes, improving decision-making and driving efficiency across industries. From customer support to predictive analytics and quality control, AI-powered solutions are transforming operations at every level.
Natural Language Processing for Customer Support
NLP (Natural Language Processing) has transformed customer support thanks to efficient, personalized interactions. AI-powered chatbots and virtual assistants handle queries in real time, while sentiment analysis helps businesses improve their services.
Machine Learning for Predictive Analytics
Machine learning analyzes historical data to forecast customer behavior and potential risks. It optimizes inventory and marketing in the retail sector and predicts equipment failures to reduce downtime in manufacturing.
Computer Vision for Image & Video Analysis
Computer vision allows machines to interpret images and videos with human-like accuracy. It powers cashier-less stores and shelf monitoring in retail and improves quality control in manufacturing.
Virtual Twin Technology for Simulation & Optimization
Virtual Twin technology leverages AI to create accurate digital representations of physical products and processes. By enabling advanced simulations and optimizations, it improves performance and supports sustainability goals.
Dassault Systèmes' Key Values in AI Platform
AI-Driven Innovation
Continuous investment in AI research and development delivers solutions for complex, industry-specific challenges.
Secure & Ethical AI
We prioritize data security, compliance and responsible AI practices, ensuring fairness, transparency and trust. We ensure the intellectual property protection of all our customers.
Industry-Specific Expertise: Industry AI
Our AI models are trained on real-world industry datasets, providing more accurate and actionable sovereign and science-based insights.
Sustainability & AI for a Greener Future
Predictive analytics, eco-design and virtual twins help businesses optimize resources and reduce environmental impact.
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