Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Augury combines machine-health sensors (vibration, acoustic, magnetic) with process and operational data across manufacturing plants, training its predictive-maintenance AI on more than 1.1 billion hours of real machine readings collected from 170+ global manufacturers in food & beverage, chemicals, pharmaceuticals, oil & gas, and metals & mining. The company was founded in 2011 in Israel.
Sensor / Time-series