Cloud-based IoT platforms and architecture connect the real and virtual worlds. They help companies manage IoT device connectivity and security as well as collect device data, link devices to backend systems, ensure IoT interoperability, and build and run IoT applications.Join Now
Smart devices generate a massive amount of IoT data that needs to be analysed and leveraged in real time. This is where predictive and Big Data analytics come into play. Machine learning is also used to add context to data and trigger actions without human intervention.Join Now
In manufacturing, the IoT becomes the Industrial Internet of Things (IIoT) also known as the Industrial Internet or Industry 4.0. The IIoT uses machine to machine (M2M) technology to support everything from remote monitoring and telemetry to predictive maintenance.Join Now
The Internet of Things is a network of physical objects vehicles, machines, home appliances, and more that use sensors and APIs to connect and exchange data over the Internet.The IoT depends on a whole host of technologies such as application programming interfaces (APIs) that connect devices to the Internet. Other key IoT technologies are Big Data management tools, predictive analytics, AI and machine learning, the cloud, and radio-frequency identification (RFID).
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