IoT

The Internet of Things relies on a large number of technologies, such as the application development interface (API) that connects devices to the Internet. Other key IoT technologies include big data management tools, predictive analysis, AI and machine learning, the cloud, and wireless frequency identification (RFID).
 

IoT Platform and Architecture

Cloud-based IoT platform and architecture connect entities and virtual worlds. They help companies manage their networked devices and their security; collect real-time data, connect devices to back-end systems, ensure IoT interoperability, and use IoT applications to improve performance.

Control the explosion of IoT data

Insight into the huge amount of IoT data generated by smart devices in real time requires immediate analysis and rapid application. This is where predictions and big data analytics can go a long way. In addition, machine learning adds contextualized applications to the data, triggering actions without human intervention.

Industrial Internet of Things (IIoT) and M2M

In the manufacturing industry, the Internet of Things is called the "Industrial Internet of Things" (IIoT) - also known as "Industrial Internet" or "Industry 4.0." Through machine-to-machine (M2M) technology, IIoT supports a wide range of functions from remote monitoring, telemetry to predictive maintenance.