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.
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.
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.
The Industrial Internet of Things (IIoT) is completely transforming the way products are made. Manufacturers are using the IIoT and M2M communication to drive industrial automation, predict and prevent equipment failures, improve worker safety, and much more.
Intelligent transportation systems are moving people and cargo from A to Z all over the world. Thousands of IoT sensors are used on planes, trains, ships, and vehicles to optimise everything from engine performance and safety to logistics and supply chain management.
Car manufacturers and tech companies are using the IoT to help drivers in connected cars (or smart cars) avoid accidents, predict maintenance issues, find parking spots, and more. The IoT and machine learning are also bringing self-driving cars to the market.