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AWS IoT helps industrial companies overcome challenges to attain business goals. First, AWS IoT provides built-in device authentication and authorization to keep your IoT data and devices protected. You can also continuously audit security policies associated with your devices, monitor your device fleet for abnormal behavior, and receive alerts if something doesn't look right. You can even take corrective actions, such as powering off devices or pushing a security fix. Second, AWS IoT enables connected devices to operate with intermittent Internet connectivity to mitigate risks of unexpected downtime. You can run machine learning models or software code and store data locally until Internet connectivity is available. Third, AWS IoT lets you easily connect, manage, and update devices of any type from small microcontrollers, to more powerful gateway devices. You can integrate your existing legacy equipment on the manufacturing floor such as Programmable Logic Controllers (PLC) and Supervisory Control and Data Acquisition (SCADA) systems by deploying simple sensors to monitor processes and track key performance indicators without overhauling or replacing existing hardware. AWS IoT provides capabilities so you can scale your IoT applications to thousands or millions of devices. With AWS IoT, you can organize device inventory, monitor your fleet of devices, and remotely manage devices across many locations including updating their software over-the-air (OTA). Once devices are securely onboarded, AWS IoT offers an easy way to run analytics on IoT data. AWS IoT collects, processes, and analyzes IoT data quickly and easily so you can gain operational insights. AWS IoT integrates with Amazon SageMaker so you can build machine learning models and with Amazon QuickSight so you can visualize and explore data and share insights across teams. Machine learning models can run in the cloud or be deployed locally on devices.

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