Average Ratings 0 Ratings
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
Leading cloud and edge solutions facilitate swift device deployment and simplify asset management. Keep track of IoT devices, asset functionality, and security through bi-directional communication. Streamline bulk firmware and software updates to improve features, maintain compliance, and expand your deployment capabilities. Access previously unreachable data from edge devices. Utilize open APIs to integrate device information, allowing for enhanced insights and control through third-party applications. Get immediate notifications and comprehensive reports regarding network health and device status. IoT device monitoring empowers businesses to oversee a large volume of deployed IoT devices and process billions of data points to extract actionable insights and ensure operational efficiency. By implementing IoT monitoring, organizations can confidently expand their IoT initiatives, assured in their ability to monitor each device, evaluate performance, and receive alerts on security threats, ultimately leading to a more robust and efficient operational framework. Thus, the integration of these tools not only enhances functionality but also paves the way for future innovations in IoT management.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
Itron Enterprise Meter Data Management
JewelSuite
Microsoft 365
Microsoft Azure
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
Itron Enterprise Meter Data Management
JewelSuite
Microsoft 365
Microsoft Azure
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
Digi International
Founded
1985
Country
United States
Website
www.digi.com/products/iot-software-services/digi-remote-manager
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