Cognite AI offers a suite of Generative AI capabilities for industrial data management and autonomous operations, aiming to increase workflow efficiency tenfold. The integration of Large Language Models (LLMs) with an Industrial Knowledge Graph that houses operational data produces safe, secure, and intelligent operations. The system enables quick access to valuable insights, aiding in planning, scheduling, and execution of essential activities. It also accelerates data-driven, condition-based activities and aids in formulating deterministic responses. The platform offers assisted natural language interfaces and low-code/no-code capabilities.

Cognite's Industrial Data Operations provide a holistic solution to manage complex IT/OT/ET data quickly and efficiently. By integrating various data sources, the platform offers a unified method to explore, manage, and contextualize data. Coupled with AI, the service enhances data liberation, creating intuitive user interfaces for data modelling and exploration. It manages data from a centralized catalog, giving secure, controlled access to relevant stakeholders, along with monitoring data lineage and changes over time. Furthermore, it provides access to complex industrial data within 3 minutes, thus accelerating data-driven decision-making processes.

Cognite Hybrid AI empowers data fusion by merging data-driven machine learning with physics-based modeling. It provides a solution for sensitive, complex production use cases and can be configured to run and schedule leading industry simulations. The system assists in generating synthetic data via connection to established physics simulators for virtual IIoT sensors. Automating workflows, deploying physics-guided machine learning and integrating physics simulators are steps towards enhanced operational productivity. Successful implementations have demonstrated potential annual revenue increase and net positive environmental impacts. It additionally aids in predicting and enhancing product quality.