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What is Nova SensAI?

Rapidly detect and predict outages and issues that affect subscribers, many of which frequently go unnoticed. This methodology reveals the consequences, origins, and fundamental reasons for incidents, enabling prioritization and quicker fault resolution while proactively improving the user experience. It forecasts and identifies disruptions and faults across mobile and fixed networks, as well as in both physical and virtual settings. Abnormal incidents that affect network functionality and user satisfaction are categorized, correlated, and analyzed for enhanced evaluation. Fault locations are pinpointed, and root causes are identified to facilitate effective, coordinated, and targeted interventions. By integrating and analyzing information from diverse source systems, it dismantles silos and delivers cohesive insights. Furthermore, it enhances latency, network performance, and service delivery through a thorough, multi-layered anomaly detection system paired with correlated analytics. The approach also addresses transient degradations and persistent problems that could impede performance, ultimately ensuring an exceptional user experience. This proactive strategy not only boosts operational efficiency but also cultivates customer satisfaction and loyalty, driving long-term business success. Continuous improvements and adjustments based on insights gathered contribute to an adaptable and resilient network infrastructure.

What is Amazon Lookout for Equipment?

Utilize existing sensor information to create specialized machine learning (ML) models that cater to your machinery's needs. Establish automatic monitoring systems capable of promptly and precisely detecting sensor irregularities. This approach accelerates the resolution of issues by providing immediate notifications and triggering automated actions when anomalies are discovered. By incorporating feedback and analyzing trends in anomalies, the effectiveness and precision of your alerts can be further improved. Amazon Lookout for Equipment serves as a machine learning solution for monitoring industrial machinery, detecting atypical behavior, and facilitating proactive strategies to avert unexpected downtimes. This service enables the quick identification of abnormal activity in your equipment, allowing for swift diagnosis and corrective measures to reduce unforeseen interruptions, all without requiring any prior knowledge of machine learning. Furthermore, this efficient method not only conserves valuable time but also significantly boosts overall effectiveness in industrial settings, contributing to a more resilient operational framework.

Media

Media

Integrations Supported

Amazon S3

Integrations Supported

Amazon S3

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EXFO

Date Founded

1985

Company Location

Canada

Company Website

www.exfo.com/en/products/service-assurance-platform/nova-sensai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lookout-for-equipment/

Categories and Features

Categories and Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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