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IBM

IBM Cloud Pak for AIOps

Composite Score

7.8 /10

CX Score

7.9 /10

13 Reviews Write a Review

What is IBM Cloud Pak for AIOps?

IBM Cloud Pak for AIOps (formerly Watson AIOps) is an AIOps platform and IT operations management solution that lets IT operators place AI at the core of their ITOps toolchain.

Company Details

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IBM Cloud Pak for AIOps Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

91 Likeliness to Recommend

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+87 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love IBM Cloud Pak for AIOps?

0% Negative

9% Neutral

91% Positive

Pros

Respectful
Client Friendly Policies
Performance Enhancing
Trustworthy

Feature Ratings

Average 82

Analyze Activity Data

Explainable and Trainable Algorithms

Event & Alert Management Automation

Analyze Discovery Data

Data Visualization

Incident Management Automation

Performance & Capacity Management Automation

Operational Task Automation

Predictive Analytics

Problem Management Automation

Security Operations Automation

Vendor Capability Ratings

Average 78

Availability and Quality of Training

Breadth of Features

Vendor Support

Ease of Implementation

Quality of Features

Business Value Created

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Ease of Customization

Product Strategy and Rate of Improvement

IBM Cloud Pak for AIOps Reviews

Kumar P.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2021

"Fantastic product!"

Likeliness to Recommend

9 /10

What differentiates IBM Cloud Pak for AIOps from other similar products?

Watson is one of its kind when it came toward Machine learning and data science implementation.

What is your favorite aspect of this product?

As interested toward machine learning , this tool provide a very good features in this field.

What do you dislike most about this product?

Its not much user friendly and requires some time to understand the usages and implementation.

What recommendations would you give to someone considering this product?

If you want to do something in field of data science , definitely give it a try.

Pros

Performance Enhancing
Enables Productivity
Trustworthy
Effective Service

David L.

Role: Information Technology
Industry: Construction
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2021

Great product and tools to get the job done!

Likeliness to Recommend

8 /10

What differentiates IBM Cloud Pak for AIOps from other similar products?

has alot of options that others do not have.

What is your favorite aspect of this product?

The many ways to improve business.

What do you dislike most about this product?

there isn't any things wrong with it.

What recommendations would you give to someone considering this product?

Great price and gets the job done the way it should

Pros

Helps Innovate
Unique Features
Fair
Transparent

Latest Research

IBM Cloud Pak for AIOps

What is IBM Cloud Pak for AIOps?

Company Details

Need Assistance?

IBM Cloud Pak for AIOps Ratings

91 Likeliness to Recommend

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love IBM Cloud Pak for AIOps?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Analyze Activity Data Analyze activity data e.g. event logs, tickets, network packets.

Explainable and Trainable Algorithms Decisions and actions generated by the tool can be reviewed, and adjustments can be made to decision-making algorithms to improve results.

Event & Alert Management Automation Automate event & alert management tasks e.g. manage alert thresholds, notify operator of a possible SLA breach.

Analyze Discovery Data Analyze data on the design of components in the IT environment e.g. dependencies, endpoints, licenses, asset data, workflows, and configuration data.

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

Incident Management Automation Automate tasks such as incident tracking, assessment, prioritization, impact suggestion, prediction of potential incidents, and self resolution.

Performance & Capacity Management Automation Algorithms automate performance & capacity management tasks e.g. identify workloads nearing capacity limits, identify bottlenecks and possible remediation.

Operational Task Automation Execute operational tasks in response to commands, requests, incidents or alerts with minimal or no human supervision.

Predictive Analytics Leverage Machine Learning algorithms to generate insights, forecast future events, predict events, detect anomalies, and run sentiment analyses.

Problem Management Automation Automate problem management tasks e.g. identify related incidents, create problem tickets, suggest root cause.

Security Operations Automation Automate security operations e.g. threat and vulnerability management, compliance management, security incident and event management.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

IBM Cloud Pak for AIOps Reviews

Kumar P.

"Fantastic product!"

Likeliness to Recommend

Pros

David L.

Great product and tools to get the job done!

Likeliness to Recommend

Pros

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Feature Ratings

Analyze Activity Data

Explainable and Trainable Algorithms

Event & Alert Management Automation

Analyze Discovery Data

Data Visualization

Incident Management Automation

Performance & Capacity Management Automation

Operational Task Automation

Predictive Analytics

Problem Management Automation

Security Operations Automation

Vendor Capability Ratings

Availability and Quality of Training

Breadth of Features

Vendor Support

Ease of Implementation

Quality of Features

Business Value Created

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Ease of Customization

Product Strategy and Rate of Improvement