Telemetry

Telemetry, derived from the Greek roots “tele,” meaning remote, and “metron,” meaning measure, is the process of recording and transmitting the readings of instruments and devices to a remote location. In the context of machine learning, telemetry plays a crucial role in monitoring, diagnosing, and optimizing the performance of machine learning models. By leveraging telemetry, data scientists and machine learning engineers can gather insights into model behavior, system performance, and user interactions, leading to more robust and efficient systems.