Combining IoT with ML
Combining IoT with ML opens a wide range of innovative use cases across various industries. Here are some common and impactful use cases for IoT and ML integration:
- Predictive maintenance: Sensors on machinery and equipment collect data on factors such as temperature, vibration, and wear. ML models analyze this data to predict when maintenance is needed, reducing downtime and preventing costly breakdowns.
Industry: Manufacturing, energy, and transportation
- Anomaly detection: IoT devices monitor data streams, such as patient vitals, financial transactions, or network traffic. ML algorithms detect anomalies and raise alerts for potential issues or security breaches.
Industry: Healthcare, finance, and security
- Smart agriculture: In the domain of agriculture, IoT sensors and cameras in fields gather data on soil conditions, weather, crop health, and animal behavior. ML models provide insights into optimal planting times, irrigation, and pest control...
