Use Cases
The Maxflow AI Platform includes a workflow builder for process automation. Explore these use cases with examples and videos.
Use case videos
YouTubeThe Digital Twin
A digital twin is a virtual representation of a physical system. Its purpose is to provide insights into what was going on with the system at any moment in the past, or predict what will happen in the future. That's great, but what is it exactly and how to build it?
A digital twin for a machine involves using field data, design information, together with modeling software to create more insights—more data and more visualization that are conceivable by humans. In this process, physical simulation could be used for feature engineering that greatly enhances the accuracy of machine learning modeling. The key for successful implementation lies in leveraging existing data sources and computational processes to build multiple models efficiently. Maxflow is a natural fit for this purpose.
AI-Driven Modeling
Physical simulation is used for feature engineering that greatly enhances the accuracy of machine learning modeling.
Efficient Model Building
The key for successful implementation lies in leveraging existing data sources and computational processes to build multiple models efficiently.
