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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
IBM Z No 
Micromerce Yes 

Integrations

Amazon S3 No 
IBM Z Yes 
Micromerce No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
Live Rep (24/7) Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/z-anomaly-analytics

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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