The presentation will examine the WIKA solution and a wide range of use cases for predictive maintenance of rotating machinery. An energy-optimised, battery-powered sensor is used to measure ultrasonic signals, vibration and surface temperature. The use of LoRaWAN technology ensures secure, long-range data transmission, enabling rapid and efficient implementation. Adaptive AI provides maintenance insights based on real-time analysis. The system learns from operational patterns and events, thereby reducing unexpected downtime.