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Average Ratings 0 Ratings
Description
C3 AI® Sensor Health guarantees the efficient operation of IoT devices and their network infrastructure throughout both the installation and operational phases of these devices. It allows users to visualize the status of sensors, track deployment progress, and pinpoint geographic areas that may require attention, while also providing a prioritized list of sensors that have been flagged for health concerns. Users can uncover issues related to sensor deployment, determine the origins of malfunctions, streamline field service operations, and anticipate future deployment advancements. It is crucial to maintain accuracy, consistency, and up-to-date installation information across both source and cloud data systems. Additionally, the platform facilitates the monitoring and analysis of the physical integrity, functionality, and communication capabilities of sensor devices, which aids in improving field service and resolving issues effectively. Users can visualize planned sensor installations alongside actual deployment and provisioning advancements, along with tracking operational problems and trends related to devices, and prioritize service tasks accordingly. The system also generates comprehensive analyses and consolidates findings through both preformatted and customized reports, which cover aspects such as failure analysis and health assessments, thus providing valuable insights for decision-making. Overall, this robust solution enhances the management and performance of IoT ecosystems.
Description
With the impending surge in the number of connected devices projected to reach billions, the importance of remotely controlling and managing these devices will significantly increase. The IoT Remote Device Management system simplifies the secure onboarding, organization, monitoring, and management of IoT devices on a large scale. eInfochips brings over twenty years of experience in handling devices throughout their life cycle, catering to numerous business scenarios across diverse industries. Our established expertise in technology, processes, and infrastructure across the IoT value chain enables clients to effectively extend their Cloud applications for seamless integration and management of devices. The Remote Device Management platform offered by eInfochips has empowered customers to elevate the value of their applications by incorporating devices, ensuring high service reliability, lowering operational costs, and maximizing device availability. Furthermore, we have collaborated closely with clients to facilitate bulk operations on numerous devices at once, streamlining their management processes even further. This collaboration has proven essential in adapting to the rapidly evolving landscape of IoT technology.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Microsoft 365
Cadence
Google Cloud Platform
HPE Industrial IoT
JewelSuite
NVIDIA DRIVE
Tricentis LiveCompare
Integrations
Amazon Web Services (AWS)
Microsoft 365
Cadence
Google Cloud Platform
HPE Industrial IoT
JewelSuite
NVIDIA DRIVE
Tricentis LiveCompare
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
C3 AI
Country
United States
Website
c3.ai/products/c3-sensor-health/
Vendor Details
Company Name
einfochips
Founded
1995
Country
United States
Website
www.einfochips.com/services/digital-engineering/remote-device-management/
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking