Amazon Lookout for MetricsAmazon
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PAT-ManGalaxy
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About
Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes.
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About
Facing strict quality demands from the automotive industry, semiconductor companies are increasingly applying Part Average Testing (PAT) to enhance reliability. PAT identifies and removes "outlier" parts that pass standard tests but exhibit abnormal characteristics, reducing long-term quality and reliability issues. By statistically analyzing multiple devices and adjusting pass/fail limits, PAT proactively identifies these problematic parts for exclusion, ensuring only the most reliable components reach production shipments. Part Average Testing ( PAT ) as detailed in the Automotive Electronics Council AEC-Q001-Rev C specifications only covers DPM techniques for normal (Gaussian) distributions. However, many distributions do not fall into the Gaussian category and require adapted PAT outlier detection methods to avoid excessive yield loss or incorrect outlier detection. PAT-Man is a comprehensive solution for Part Average Testing (PAT).
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies requiring a solution to automatically detect anomalies within metrics and identify their root causes
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Audience
Manufacturing and engineering companies in need of a solution to enhance their product reliability
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
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24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
Not Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/lookout-for-metrics/
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Company InformationGalaxy
United States
www.galaxysemi.com/products/pat-man
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Categories |
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Integrations
AWS Lambda
Supported
Amazon CloudWatch
Supported
Amazon Redshift
Supported
Amazon S3
Supported
Amazon Simple Notification Service (SNS)
Supported
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Integrations
AWS Lambda
Not Supported
Amazon CloudWatch
Not Supported
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Amazon Simple Notification Service (SNS)
Not Supported
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