In a previous blog, What is Industrial AI? (And Why Most Companies Get It Wrong), we defined Industrial AI as the comprehensive and purpose-built application of artificial intelligence technologies to address the unique challenges and opportunities of industrial operations.
Industrial AI encompasses the entire AI value chain, from establishing a contextualized data foundation to deploying advanced AI agents. This is because deploying effective artificial intelligence solutions within complex industrial environments presents unique challenges. It requires the seamless integration of diverse data sources (OT, IT, ET), the application of specialized Industrial AI techniques, and robust deployment across various operational landscapes.
We previously highlighted how Cognite's purpose-built platform directly addresses these complexities by providing the most comprehensive suite of Industrial AI capabilities:
- Advanced Analytics & Machine Learning: For predictive maintenance, anomaly detection, and process optimization.
- Physics-Based Hybrid AI: Combining data-driven AI with physics-based models for enhanced accuracy and explainability.
- Generative AI: Enabling natural language interaction with industrial data, document intelligence, and synthetic data generation.
- Agentic AI: Building intelligent Industrial AI agents to automate tasks and optimize complex workflows.
Discover how Cognite infuses AI at every layer, from data to decision.
Now it’s time to take a closer look at Generative AI.
Generative AI
Cognite Data Fusion harnesses the transformative power of the latest advancements in Generative AI to unlock entirely new possibilities for industrial AI innovation and efficiency:
- Natural Language Interaction with Industrial Data: Interact intuitively with your complex industrial data and sophisticated AI models using natural language queries. This simplifies data access, streamlines analysis workflows, and empowers a broader range of users to leverage the power of Industrial AI.
- Document Intelligence & Summarization: Analyze and automatically summarize complex industrial documents, reports, and engineering schematics. This accelerates information extraction, improves knowledge sharing across teams, and enhances decision-making by providing rapid access to key insights.
- Intelligent Synthetic Data Generation for Industrial Twins: Create realistic synthetic data to address gaps and biases in real-world industrial datasets effectively. This significantly enhances the accuracy and completeness of digital twins, enabling more robust simulations of rare but critical edge-case events and improving model training.
- Enhancing Industrial Knowledge Graphs with Generative AI: Enrich existing industrial knowledge graphs with newly discovered information and relationships extracted by generative AI models. Uncover hidden patterns and previously unseen insights within vast industrial datasets, leading to improved knowledge management and the delivery of trusted, verified data to all Industrial AI models.
Summary
Cognite provides a complete and trustworthy digital representation of your industrial reality – a dynamic industrial knowledge graph - that Large Language Models (LLMs) can reliably leverage to deeply understand your operations and deliver deterministic, accurate responses to even the most complex inquiries.
Learn more about Cognite's approach to industrial AI: