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What is LotusEye?

LotusEye provides a cloud-based solution for detecting anomalies through AI, automatically learning typical behavior from numerical or sensor data uploaded in CSV format, while continuously generating anomaly scores to pinpoint irregularities that may indicate faults or unexpected events, all without requiring users to possess machine learning knowledge. The platform supports both wide-format CSV files, where each row represents sensor readings at distinct timestamps, and long-format CSV files that contain columns for timestamps, sensor names, and values. Users can easily upload their data using an intuitive drag-and-drop interface or through an API that facilitates automated processing on a predetermined schedule. After training an AI model with data from standard operations, users can submit test data to receive calculated anomaly scores and visualize the outcomes on dashboards equipped with time-series charts, threshold indicators, and filtering capabilities. This functionality aids teams in quickly recognizing unusual patterns and investigating potential issues, ultimately boosting operational efficiency. By transforming raw data into actionable insights, the platform empowers organizations to make informed decisions based on real-time analytics.

What is IBM Z Anomaly Analytics?

IBM Z Anomaly Analytics is an advanced software tool that identifies and categorizes anomalies, allowing organizations to tackle operational challenges proactively. By harnessing historical log and metric data from IBM Z, the tool creates a model that encapsulates standard operational behavior. This model is used to evaluate real-time data for any discrepancies that suggest abnormal activity. Subsequently, a correlation algorithm methodically organizes and assesses these anomalies, providing prompt alerts to operational teams about potential problems. In today's rapidly evolving digital environment, ensuring the availability of critical services and applications is vital. Businesses employing hybrid applications, particularly those running on IBM Z, face the growing challenge of pinpointing the root causes of issues due to rising costs, a lack of skilled labor, and changing user behaviors. By identifying anomalies within both log and metric data, organizations can proactively detect operational issues, thus averting costly incidents and facilitating smoother operations. Moreover, this robust analytics capability not only boosts operational efficiency but also fosters improved decision-making processes across organizations, ultimately enhancing their overall performance. As such, the integration of IBM Z Anomaly Analytics can lead to significant long-term benefits for enterprises striving to maintain a competitive edge.

Media

Media

Integrations Supported

Google Sheets
IBM Z
Microsoft Excel

Integrations Supported

Google Sheets
IBM Z
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

$13 per month
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

LotusEye

Company Location

Japan

Company Website

lotuseye.co.jp/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Categories and Features

Categories and Features

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