Resource library

Watch how SMC uses IoT to boost sustainability by reducing compressed air wastage and automating processes in auto manufacturing, food, and electronics.

Learn about the measures and solutions that safeguard connected devices, data, and all the components of an IoT ecosystem.

Learn how Lightweight M2M (LWM2M) reduces costs and power consumption for IoT devices while increasing manageability, security, and efficiency.

Learn how thin edge architectures enable IoT devices with small memory and low compute power to operate efficiently, securely, and with reduced costs.

Learn how OPC UA enables secure, platform-independent industrial IoT communication. Easily integrate devices for monitoring, diagnostics, and asset management.

Watch how Cumulocity helps equipment makers build smart connected products fast and scale IoT services easily in this demo video.

IoT device management refers to processes managing the entire lifecycle of Internet of Things (IoT) devices and sensors, from planning and onboarding, to monitoring and maintenance, through to retirement.

Learn about how IoT analytics processes data from devices to provide real-time, historical, and predictive insights to help businesses make smarter decisions.

Remote monitoring leverages IoT & analytics to gain live insights into equipment use and performance from a central location.

The Internet of Things generates massive volumes of data from millions of devices. IoT machine learning is powered by data and generates insights from it. Machine learning uses past behavior to identify patterns and build models that help predict future behavior and events.

Read what an IoT device is, how it works, & real-world examples of IoT applications. Discover IoT device connectivity and its role in data-driven decision-making.

An IoT digital twin is a digital representation of a real-world entity, such as a device or a manufacturing production process. The digital twin, a real-time virtual model of an asset or system, uses data from connected IoT sensors to create a digital representation. A digital twin allows you to monitor devices, assets, or processes in real time from anywhere.

Learn how edge computing in IoT processes data locally for faster, secure, and cost-effective results. Discover its benefits and real-world use cases.

Predictive analytics software mines and analyzes data collected from any number of IoT devices to detect patterns and predict future outcomes. Predictive analytics software can be used to identify trends and provide more accurate, timely maintenance, part replacement, and performance management support.

Learn about techniques for the processing and analysis of fast-moving live data from different sources to raise real-time actions or alerts.

Discover what an IoT platform is, how it simplifies IoT ecosystems, and the benefits of device management, analytics, and scalability for business outcomes.