AIOps Use Cases: How AI Is Reshaping IT Management

A large number of companies have adopted AIOps to streamline their IT operations. This surge in interest is driven by the growing complexity of managing IT operations and the potential for AIOps to eliminate or mitigate many of these challenges.

AIOps leverages the power of machine learning (ML) and artificial intelligence (AI) to provide organizations with greater visibility into their IT environments and the ability to proactively and automatically identify and address potential issues. This article explores how AIOps is reshaping IT management and the various ways that AIOps can be used to enhance IT operations.

What Is AIOps?

AIOps is the practice of integrating AI, ML, and analytics into IT operations. These technologies improve efficiency and enable real-time identification and response to potential issues.

Data is essential to the success of an AIOps platform. AI solutions collect data from sources across the organization’s network, including logs, security alerts, metrics, and network data. This information is then fed into AI/ML systems to analyze. From there, AI can extract trends and anomalies, recognize patterns in system utilization, and perform predictive analytics.

AIOps systems report to human analysts, but they can also act on their findings. Automation streamlines processes and enables real-time management of potential issues or security threats.

How Can AIOps Benefit Businesses?

AIOps uses AI, ML, analytics, and automation to streamline and optimize business operations. It can be used in various ways to support IT operations and service management.

Predictive Analytics

AIOps platforms collect information from various sources within an organization’s IT and feed it into ML models. These models can identify patterns and anomalies within the data, sifting out the useful signal from the noise. Using this information, AIOps platforms can anticipate and prevent IT incidents or take steps to contain and mitigate them. 

For example, an AI-based threat management system may detect unusual behavior by a user account. It can proactively lock the account and notify security personnel of the compromise, limiting the potential damage that account can unleash.

Automated Root Cause Analysis

Root cause analysis is an essential but resource-intensive part of the IT troubleshooting process. While symptoms of an incident may be readily apparent and easily fixed, determining the underlying issue is more complex. Fixing these problems is also vital to prevent future incidents.

AIOps platforms have the context and analytic capabilities required to perform automatic root cause analysis. By automatically tracing the chain of events back to its origin, the AIOps platform streamlines the troubleshooting process and enables IT personnel to quickly and accurately diagnose and correct the underlying issue.

Performance Monitoring and Optimization

AIOps enables an organization to effectively monitor and manage IT performance in real time. AI systems have the scale and capability to ingest performance data from multiple sources, analyze it, and identify potential inefficiencies or issues.

The AIOps platform can also perform automated performance optimization of the organization’s IT infrastructure and proactively address potential issues. For example, the platform may detect that a web server is rapidly approaching 100% CPU utilization. By spinning up an additional server and load-balancing requests between them, the AIOps platform can proactively address the issue before it affects the user experience.

Incident Management and Response

Alert overload is a common challenge faced by security teams. With many IT solutions and security products, SOC analysts can struggle to weed out false positives and address true incidents.

AI is ideally suited to parsing large volumes of data and identifying anomalies and trends. AIOps can automatically identify and classify security incidents, enabling SOC analysts to more quickly pinpoint and address issues.

Beyond threat detection, AIOps can also recommend and execute strategies to address a security incident. By quickly deploying fixes across the entire corporate environment, AIOps minimizes the potential impact of an incident on the company’s business operations.

Capacity Planning

Capacity planning is a challenging problem in IT environments. Failing to allocate sufficient resources creates the potential for service outages and degraded user experiences. However, over-provisioning resources means that the company is wasting money on unneeded capacity.

AI algorithms can analyze an organization’s historical trend data and predict future resource needs. This not only enables the organization to proactively deploy additional capacity but can also enhance efficiency by optimizing resource utilization and consolidating underused systems.

Change Management

Every change to an organization’s software and IT architecture carries risk. A software update may include an unpatched vulnerability or break compatibility with other systems. Deploying a new server or API can overload firewalls or introduce security gaps.

AI-assisted change impact analysis can help minimize the potential risks associated with IT environment changes. AIOps can apply predictive analytics to assess the potential effects of a change and develop strategies for avoiding or mitigating any negative impacts.

Security and Compliance

AIOps offers the ability to enhance an organization’s security and compliance posture. Its threat detection and response capabilities reduce the mean time to remediation for security incidents, driving down costs. In fact, it’s estimated that using AI-driven insights can decrease the overall cost of a data breach by over $225,000.

Aside from reducing the organization’s vulnerability to cyberattacks, AIOps can maintain an organization’s regulatory compliance. Automated monitoring helps identify and correct any potential compliance gaps before they become an issue. Additionally, the deep visibility provided by the AI platform makes it easier to collect the information necessary for compliance reporting.

Enhance Your Operational Efficiency with AIOps

As AI continues to evolve, its potential uses in IT expand. AI can automate every stage of the IT troubleshooting and incident response process, from initial identification to executing AI-generated remediation plans. It also enables organizations to proactively manage their IT infrastructure, heading off potential incidents and issues due to flawed change requests.

An effective AIOps deployment requires well-trained AI models and deep subject matter expertise. As a Broadcom Strategic Partner, A&I can help your organization deploy industry-leading AIOps solutions by Broadcom tailored to your unique needs. To start your AIOps journey, book a demo or talk to an A&I team member today.