Machine Learning and Azure Sphere

The Internet of Things (IoT) is arriving at pace, enabling new applications and business models across many consumer, enterprise, and industrial sectors. When you attach a "thing" to the Internet, you connect new data sources, which can be costly and resource-intensive to store or upload. As IoT continues to grow, organizations and users alike are finding immense benefit in applying IoT paired with Machine Learning and Azure Sphere. ML is excellent at processing noisy and complex sensor data to determine higher-level insights like "operating normally" versus "cooling unit failed" in a vibration sensor data stream, or "wake word detected" in an audio stream, or "items placed correctly" versus "item out of place" in a video stream. ML can be used on the IoT device itself, in the cloud, or a combination of both.