IBM AIOps Insights

Score7.3 out of 10

8 Reviews and Ratings

What is IBM AIOps Insights?

IBM AIOps Insights is a solution for event and incident management that offers central IT operations teams a comprehensive view of their managed IT environment, providing holistic context in a single pane of glass. AIOps Insights uses intelligent automation and AI to aggregate information by collecting event data from various sources in the environment, correlating related incidents, and helping teams detect and remediate incidents. The platform integrates with existing toolsets and systems representing network and compute resources, such as SevOne NPM.

Categories & Use Cases

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Screenshot of Automated incident remediation

Monitoring and Alerting
The tool provides real-time monitoring of IT infrastructure and applications, and prioritizes alerts to users when there are anomalies or issues detected.
Category average: 7.3
Incident Management
The tool helps manage and track incidents by providing a centralized platform for logging, notifying, and resolving incidents.
Category average: 6.8
Performance Analytics
The tool analyzes historical performance data to provide insights and recommendations for optimizing system performance and resource allocation.
Category average: 6.6

Root Cause Analysis
The tool automatically identifies the root cause of incidents or performance issues by analyzing various data sources and correlating events.
Category average: 6.1
Automated Remediation
The tool automatically resolves known issues or takes corrective actions based on predefined policies and rules.
Category average: 6.7
Capacity Planning Tool
The tool predicts future resource utilization and helps IT teams plan for capacity upgrades or adjustments to avoid performance issues.
Category average: 5.8

Verified User

Employee in Research & Development (501-1000 employees employees)

Use Cases and Deployment Scope

It's used to analyze data to identify issues and automate responses. It helps prevent equipment failure and improve overall efficiency. Our industry mostly deals with expensive equipment, and equipment downtime can be very costly. It helps identify patterns and trends with data that can help improve production and decision-making.

Pros

Problem identification with the help of data and events much before they happen ensures smooth operations.
Incident resolution: Provide real-time contextual information on the root cause of the issue and highlight historical data for similar events.
Can automate routine tasks associated with incident management, which ultimately saves time.