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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Utilize data gathered from current sensors to develop machine learning models tailored to your machinery. Ensure swift and accurate automatic monitoring of equipment that identifies problematic sensors. Speed up the resolution of issues with instant alerts and automatic responses when anomalies are identified. Enhance the effectiveness and precision of alerts by integrating trends in anomalies and user feedback. Amazon Lookout for Equipment serves as a machine learning monitoring solution for industrial machinery, identifying unusual operational behavior so you can respond proactively and prevent unexpected downtime. By automatically recognizing atypical equipment behavior, you can effectively avert unplanned interruptions. Lookout for Equipment systematically evaluates sensor data from your industrial systems to uncover abnormal machine activity. This capability enables you to swiftly identify equipment irregularities, diagnose concerns promptly, and take action to prevent unexpected downtime—all without needing prior machine learning expertise. Furthermore, consistent monitoring ensures that your models remain relevant and effective over time.

Description

Quickly identify and forecast outages and impairments that impact subscribers, many of which often go undetected. This process unveils the implications, sources, and underlying causes of events, allowing for prioritization and expedited fault resolution while enhancing the user experience proactively. It dynamically forecasts and identifies outages and impairments across both mobile and fixed networks, as well as in physical and virtual environments. Abnormal events that influence network performance and user satisfaction are classified, correlated, and grouped for better assessment. Fault locations are isolated, and root causes are diagnosed to enable effective, coordinated, and prescriptive measures. By consolidating and analyzing data from various source systems, it breaks down silos and provides integrated insights. Additionally, it optimizes latency, network efficiency, and service delivery through comprehensive, multi-layered anomaly detection combined with correlated analytics. The system also identifies and resolves transient degradations and recurring issues that can hinder performance, ultimately delivering a superior user experience. This proactive approach not only improves operational efficiency but also fosters customer satisfaction and loyalty.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Micromerce Yes 

Integrations

Amazon S3 No 
Micromerce No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Vendor Details

Company Name

EXFO

Founded

1985

Country

Canada

Website

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

Product Features

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

Product Features

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Alternatives

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