Provisioning, Managing and Monitoring devices and assets in a scalable and fault-tolerant way is challenging. We provide an infrastructure of interconnected objects, people, systems and information resources together with intelligent services to allow them to process information of the physical and the virtual world and react.
Amper’s AI powered platform provided the required technology for predictive maintenance and for tracking and monitoring assets remotely. The devices were fitted with sensors and GPS trackers. The events from these devices were processed and analysed through Amper’s event stream processor and a ML model. The ML Model predicted possible abnormalities in device functions through prescriptive analysis that triggered alerts based on business rules.
Amper provides IoT solutions that leverage decision making with the help of predictive and prescriptive analysis through events processing combined with machine learning. Amper enabled a user to commission or replace an asset before functional failure - tracking the optimal use of the devices and the physical security of devices while being notified of device movements - proved business-critical.
Amper’s AI powered Analytics platform allows citizen users to design their business flows for their IoT solutions with ease. Visual analytics and reporting helped track the health of devices in real time increasing the device availability by 40% and reduced operational cost. A drop-in device tampering and misuse through Amper’s intelligent asset monitoring solution, resulted in increased revenue.
A multi-utility company wanted to enhance the management of their devices spread across the globe. Amper’s AI powered Analytics platform provided the required technology to build a predictive maintenance solution for tracking and monitoring assets remotely to speculate possible device failures, detect device usage and location.
Amper along with a leading IIoT provider allows any industrial company to quickly harness the capabilities of the platform by remarkably cutting down the idea-to-deployment time of a IIoT solution and also bridges profitable decisions with informed actions through AI powered processes that maximize machine efficiency.