Hybrid AI
Deploy physics-guided machine learning for sensitive production use cases. Cognite Data Fusion® lets you take a hybrid approach to artificial intelligence, combining the best of data-driven machine learning and physics-based modeling.
There is more to industrial AI than ML/DL
Cloud connect to established physics simulators as a service for synthetic data—fast-track implementation with virtual IIoT sensors. Deploy physics-guided machine learning at scale.
Integration to physics simulators
Cognite is vendor-neutral and has delivered several solutions enabling physics simulators.
With Cognite Data Fusion®, you can configure, run, and schedule industry leaning simulations such as Unisim, Olga, Turbulent Flux, Multiflash, and Hysys using live contextualized data.
Automated workflow using Cognite Data Fusion®
Synthesize more data using domain insights from process simulations to unlock missing training data.
Automate routine simulator studies, or monitor problem cases by automatically running a simulator with live data, collecting the results, triggering actions, and visualizing output.
A hybrid machine learning approach to predicting and improving product quality
Cognite Data Fusion® enables automated, collaborative workflows, and seamless integration with third-party workflows.
How Aker BP is taking a hybrid machine learning approach to production optimization
Aker BP estimates that decreasing the time spent finding mitigating actions has an annual revenue potential of $6 million. The system could also have a net positive environmental impact.
Hybrid AI starts with Industrial DataOps
One central, contextualized source of truth for an organization's data ensures all necessary live data is available for both hybrid AI models and the subject matter experts supervising the decision-making process that optimize production and create value in:
- asset optimization
- soft sensor setup
- tracking and simulator model quality
- autotuning of a model on deviation
- equipment/asset performance tracking
- forecasting what-if analysis
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