IT IS WITHIN THE IOT THAT WE SEE A NEW GENERATION OF APPLICATIONS
- Predictive maintenance: predict when and how a device will fail and what replacement and maintenance parts and service personnel skills will be required to preempt the failure.
- Loss prevention: monitor device and network usage to flag unusual usage situations that may be indicators of revenue loss and theft.
- Asset utilisation: monitor and predict asset utilisation under a number of different usage scenarios in order to improve asset, device, and node utilisation.
- Inventory tracking: monitor inventory levels and inventory assets to minimise loss and waste and improve inventory utilisation.
- Disaster planning and recovery: model different disaster scenarios and likely device and network usage requirements to proactively plan for disaster situations (e.g., storms, tsunamis, bush fires, …).
- Downtime minimisation: leverage predictive maintenance and inventory tracking to identify high-probability downtime situations and ensure that the right maintenance and replacement parts are available, as well as the right skilled service personnel.
- Energy usage optimisation: optimise energy usage given current and historical device performance, historical and predicted energy costs, and device performance requirements.
- Device performance effectiveness: monitor and optimise individual device performance/throughput based upon historical performance, given certain workloads and environmental conditions and coupled with a detailed profile of the performance behaviors of that device or node.