
Manufacturers can gain a competitive advantage by using production-line monitoring to enable proactive maintenance on equipment when sensors detect an impending failure. Organizations best suited for IoT are those that would benefit from using sensor devices in their business processes. The ability to remotely monitor machines is also enabling new product-as-a-service business models, where customers no longer need to buy a product but instead pay for its usage. Enable business process changes.Īn example of this is the use of IoT devices for connected assets to monitor the health of remote machines and trigger service calls for preventive maintenance. Companies can use IoT fleet monitoring to direct trucks, in real time, to improve efficiency. One example of this is the use of IoT to increase efficiency and safety in connected logistics for fleet management. Drive efficiencies and new possibilities in existing processes. This technology also enables companies to track the health and safety of their employees, which is especially useful for workers employed in hazardous conditions. IoT wearables enable people to better understand their own health and allow physicians to remotely monitor patients. Use wearables to monitor human health analytics and environmental conditions. Ring-fencing allows them to make sure that high-value assets are protected from theft and removal. Tracking enables businesses to quickly determine asset location. Improve the tracking and “ring-fencing” of physical assets. Products can also be monitored in real time to identify and address quality defects. Machines can be continuously monitored and analyzed to make sure they are performing within required tolerances. Create new efficiencies in manufacturing through machine monitoring and product-quality monitoring. The following are some of the most popular applications and what they do. The ability of IoT to provide sensor information as well as enable device-to-device communication is driving a broad set of applications. What are some ways IoT applications are deployed? Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.
