Building AI Models for High-Frequency Streaming Data - KDnuggets

We hear about AI everywhere. Machine learning models are now incorporated into several applications, such as medical devices and automated vehicles. These systems include many sensors, streaming data from hardware. The model is applied to the data in the stream and predictions are sent to a dashboard, database, or another device (repeatedly!). Data prep and model development challenges are exacerbated with such high-frequency, time-series data.