Continue your IoT journey
By Managing Your Connected Devices
with Thinxtream IoT Products, IoT Solutions & IoT Services
THINXTREAM CAN ENABLE DEVICE MANAGEMENT OF YOUR CONNECTED PRODUCTS
AND FACILITATE VARIOUS MANAGEMENT APPLICATIONS
Once you have connected your devices and started monitoring them, realize your IoT goals with a range of data-based device management functionality.
Leverage our comprehensive portfolio of IoT Products, IoT Solutions and IoT Services for Connected Devices and Connected Products to enable device management.
DEVICE LIFECYCLE MANAGEMENT
MANAGE HUGE NUMBER OF INTERCONNECTED DEVICES
TURN ON/OFF FUNCTIONALITY
REMOTE SERVICES/ MAINTENANCE
GAIN A UNIFIED VIEW OF SYSTEM HEALTH & IMPROVE ASSET UTILIZATION
IMPLEMENTING CONDITION BASED MONITORING WITH ANOMALY DETECTION
Your Connected Devices need to be monitored for anomalies so that a central operator can take immediate actions and resolve them quickly. This requires large volumes of dissimilar telemetry data from Connected Devices to be analyzed by a cloud server and responded to in real time. However, monitoring and gathering insights from massive scale of IoT data is often not fully automated and error-prone, making it hard to scale effectively. Read our Data Exploration, Analysis & Anomaly Detection for IoT White Paper to understand the application of Azure and AWS machine learning modules, and an out-of-the-box Azure service Time Series Insights to detect anomalies in sensor data, conduct root-cause analyses, and avoid costly downtime of Connected Devices.
REMOTE SERVICES & MAINTENANCE CASE STUDY
A Computer Peripherals OEM engaged Thinxtream to develop a Field Support Solution to provide remote services and maintenance. Leveraging our IoT Services and our advanced expertise in Azure IoT Hub, we developed an IoT solution that supported all their varied models. The IoT solution offered remote monitoring and management, remote diagnosis and issue resolution, analytical queries to identify potential malfunctions before they occurred and testing devices while in continuous use. It required minimal loading of end-user systems and supported limited Internet connectivity scenarios. Read the Case Study.