Webinar highlights
Without clean, error-free data, you can’t build accurate machine-learning models. CoreWeave Physical AI has developed tools to automate the inspection of engineering data—helping you find more errors in your data faster, offload your engineers from tedious, repetitive work, and reduce expensive and time-consuming retesting.
- The sources of common data errors in testing and validation labs
- The most common data, sensor, and system errors encountered in engineering applications
- How to train and apply the Anomaly Detector to find anomalies in your test data
- How automated data inspection reduces expensive and time-consuming retesting
