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What is Concentio?

Analyzing data from a wide range of IoT sources, including sensors and devices, provides users with both predictive and prescriptive insights that enable them to tackle potential anomalies in real time. The Concentio® IoT Doctor efficiently processes data from various IoT endpoints, alerting users to any incoming faulty data to ensure issues are addressed before the information is used for further analysis. Furthermore, the Concentio® Production Line Fault Prediction tool utilizes AI to perform predictive evaluations of production line components by examining IoT data, videos, and images. In addition, Concentio® Optimal Asset Management evaluates incoming data from a network of utility service assets, empowering users to plan maintenance proactively and significantly lower capital expenditures by guiding strategic asset replacement decisions. This holistic approach not only boosts operational efficiency but also greatly enhances both asset longevity and overall performance, ultimately leading to a more resilient operational framework. By integrating these advanced tools, organizations can ensure they are prepared for any challenges that may arise.

What is C3 AI Sensor Health?

C3 AI® Sensor Health ensures the seamless functioning of IoT devices and their associated network infrastructure during both the setup and operational stages. It enables users to visualize sensor statuses, monitor deployment progress, and identify geographic regions needing attention, all while offering a prioritized list of sensors flagged for health issues. By leveraging this platform, users can detect problems in sensor deployment, trace the causes of malfunctions, optimize field service operations, and anticipate future deployment enhancements. Maintaining precision, consistency, and current installation data across both source and cloud systems is essential for effective management. Moreover, the platform allows for continuous monitoring and analysis of the physical integrity, functionality, and communication capabilities of sensor devices, which significantly improves field service efficiency and problem resolution. Users can compare planned sensor installations with actual deployment and provisioning updates, as well as monitor operational challenges and trends related to devices, enabling them to prioritize service tasks effectively. The system also produces extensive analyses and consolidates findings through both standardized and tailored reports, encompassing aspects such as failure analysis and health evaluations, thereby providing crucial insights for informed decision-making. In addition, this comprehensive solution not only streamlines the management of IoT ecosystems but also fosters innovation in sensor technology and data utilization. Overall, C3 AI® Sensor Health significantly enhances the oversight and performance of interconnected device networks.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Microsoft 365

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Scry AI

Date Founded

2014

Company Location

United States

Company Website

scryai.com

Company Facts

Organization Name

C3 AI

Company Location

United States

Company Website

c3.ai/products/c3-sensor-health/

Categories and Features

IoT Analytics

Not specified

Categories and Features

IoT Analytics

Not specified

IoT Device Management

Not specified

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