High value assets like equipment, sensors, robots, and actuators in remote locations are critical to the organization.
IoT-driven remote monitoring involves collecting real-time asset data for better operational visibility, and automatically respond to situations. The data collected from assets triggers automatic alerts and actions, such as remote diagnostics, maintenance requests, and other operational processes.Let’s talk to our expert
Data acquired from the remote assets enables faster, precise and more effective decisions than conventional decisions made with offline data or no data.
The point of remote asset data is to respond to conditions on health as it is in real-time, and input for predictive analytics to know upcoming failures. This type of intelligence reduces costs, can speed up decision-making to seconds, and results in more efficient operations.Let’s talk to our expert
Remote data can be easily integrated with back-end enterprise systems and business applications, to get the most value out of your solution.
For example, an asset failure could be logged in your Work Order Management system that notifies the field technician, and provides helpful suggestions, like the equipment needs to be shipped back for repair or it is more affordable to carry a backup replacement product.Let’s talk to our expert
American Instrumentation giant adopts Azure driven IIoT platform to handle connected 100 Enterprise gateways (EG) and manage over 30 end-devices per EG. Saviant architected a robust IIoT platform using Azure IoT Suite to overcome scalability, security and reliability challenges and handle multiple EGs and large volumes of collected data for analytics.
A Global Logistics Service provider implements Azure IoT solution to track & monitor, predict & prevent failures, and manage fleet of vehicles. Saviant architected a Fleet Management solution that provides Real-time vehicle tracking capabilities, deep insights into Driver Performance, Predictive Maintenance of Vehicles and Fuel loss analysis.