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.
- Robust capability to Integrate, contextualize, and manage IT/OT/ET data swiftly and up to 90% more efficiently.
- Advanced data modeling that employs AI to auto-contextualize data into self-enriching models, enhancing data accessibility.
- Offers a wide range of data extractors for integration with varied data sources, like OPC UA, Documentum, Engineers Data Model, local file systems, and more.
- A central data catalog for managing all data with governed and secure access and monitoring for real-time changes in data for maintaining data integrity.
- AI-powered recommendations for work orders based on scope end date and proximity to other tasks, aiding in efficient scheduling and resource allocation.
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.
- Robust capability to Integrate, contextualize, and manage IT/OT/ET data swiftly and up to 90% more efficiently.
- Advanced data modeling that employs AI to auto-contextualize data into self-enriching models, enhancing data accessibility.
- Offers a wide range of data extractors for integration with varied data sources, like OPC UA, Documentum, Engineers Data Model, local file systems, and more.
- A central data catalog for managing all data with governed and secure access and monitoring for real-time changes in data for maintaining data integrity.
- AI-powered recommendations for work orders based on scope end date and proximity to other tasks, aiding in efficient scheduling and resource allocation.