Artificial Intelligence for IT Operations (AIOps) offers many advantages for businesses. By integrating AI into IT operations, companies can use natural language processing and machine learning models to automate and optimize workflows. AIOps is also an efficient way to realize return on investment from digital transformation efforts. This article explores six strategic use cases for AIOps beyond the basics of root cause analysis and anomaly detection.

Summary

AIOps is a powerful tool for IT professionals to automate and streamline operational workflows. It offers several strategic use cases beyond basic functions like root cause analysis and anomaly detection. These use cases include operationalizing FinOps, creating sustainable IT, improving CI/CD pipelines, assuring application performance, strengthening end-to-end system resilience, and eliminating tool sprawl. Implementing even one of these use cases can deliver tangible benefits in terms of cost reduction, efficient operations, and improved customer experience.

If you’re interested in leveraging AIOps in your operations, read on to learn about the six strategic use cases and the next steps to implement them.

1. Operationalize FinOps

To address the challenge of cloud cost optimization, organizations can implement FinOps, which combines finance and DevOps. AIOps can help operationalize FinOps by using data-driven cloud spend decisions to balance cost and performance. Software-driven actions ensure applications have the necessary resources, reducing costs and waste while improving the ROI of automation efforts.

Next steps: Implement a data-driven approach to cloud spend management and build trust in automation by using software-backed decisions.

2. Create more sustainable IT

Organizations can leverage their sustainability investments to optimize operations and embrace digital transformation. AIOps can contribute to sustainable IT by optimizing data centers and making data-driven decisions on resource allocation. This reduces energy costs, carbon emissions, and promotes efficient operations.

Next steps: Optimize data center operations based on data-driven resource allocation decisions.

3. Improve CI/CD pipelines

A high-performing continuous integration/continuous delivery (CI/CD) pipeline is essential for agile DevOps workflows. AIOps can enhance CI/CD pipelines by providing observability, full-stack visibility, and automatic monitoring of performance and integrity. This enables faster innovation and better understanding of the environment.

Next steps: Implement observability powered by AI and automation to improve CI/CD pipelines and code quality.

4. Assure application performance

AIOps can help organizations ensure consistent application performance without overspending on resources. By using software-driven resource allocation based on actual demand, companies can optimize cloud costs and improve performance. This use case builds trust in automation and immediately lowers costs.

Next steps: Begin with non-disruptive, reversible actions to optimize cloud costs and improve application performance.

5. Strengthen end-to-end system resilience

To mitigate the risks of system failures and downtime, organizations can strengthen end-to-end IT system resilience with AIOps. Real-time root cause analysis powered by AI and automation enables swift identification and resolution of incidents. This reduces mean time to detect and mean time to resolve incidents, enhances user experiences, and prevents issues proactively.

Next steps: Explore AIOps platform solutions that consolidate and analyze data from multiple sources to improve IT system resilience.

6. Eliminate tool sprawl

AIOps can help organizations streamline incident management processes by consolidating various IT tools into a centralized solution. With AI and automation, an AIOps platform provides a holistic view of IT operations, triggers notifications and alerts, and eliminates the need for emergency meetings. This reduces complexity and improves the employee experience.

Next steps: Implement an AIOps platform to consolidate IT tools and simplify incident management processes.

Get started

Implementing AIOps can deliver actionable insights and enhance overall IT operations. While applying all six use cases may be ideal, even implementing one can drive digital transformation. AIOps enables faster problem resolution, increased employee productivity, and improved customer experiences. Explore IBM AIOps solutions to discover how AI and IT can deliver data-driven insights for exceptional business performance.

Frequently Asked Questions (FAQ)

What is AIOps?

AIOps stands for Artificial Intelligence for IT Operations. It is the infusion of artificial intelligence into IT operations to automate and optimize operational workflows.

What are the strategic use cases for AIOps beyond root cause analysis and anomaly detection?

The strategic use cases for AIOps beyond root cause analysis and anomaly detection include operationalizing FinOps, creating sustainable IT, improving CI/CD pipelines, assuring application performance, strengthening end-to-end system resilience, and eliminating tool sprawl.

How can AIOps be leveraged to optimize cloud costs?

AIOps can optimize cloud costs by using data-driven decisions for cloud spend management. By ensuring applications have the necessary resources based on actual demand instead of overprovisioning, organizations can reduce costs and wastage.

How can AIOps strengthen IT system resilience?

AIOps can strengthen IT system resilience by providing real-time root cause analysis capabilities powered by AI and intelligent automation. This enables swift identification and resolution of incidents, reducing mean time to detect and mean time to resolve incidents.

What are the benefits of using an AIOps platform?

An AIOps platform provides a holistic view of IT operations, consolidates IT tools into a centralized solution, triggers notifications and alerts, and eliminates the need for emergency meetings. This reduces complexity, streamlines incident management, and improves the employee experience.