AIOps is the core of digital operations. It acquires data from different sources including existing IT monitoring tools and automates processes to the point where users are given only the truly relevant data they need to perform their tasks. AIOps tools help optimize availability of digital services and increase efficiency of IT operations by automating challenging and mundane tasks where human labor an manual processes fail.
Sounds great, right? But you’re not alone if you don’t fully understand what AIOps tools are or just how valuable they can be in spotting and resolving big data issues in real-time. This post will hopefully illuminate how this relatively new technology works and the benefits it offers.
AIOps: An Emerging Technology
In 2017 Gartner coined the term “Artificial Intelligence for IT Operations (AIOps)” as a way to define how advanced analytic technologies could be used to directly and indirectly enhance IT operations such as automation and monitoring. Since then, many organizations’ IT Ops and DevOps teams have used AIOps tools developed by providers such as ServiceNow, BigPanda, MoogSoft, IBM Watson, and Splunk to help them identify and resolve digital service issues more quickly and before business operations and customers were impacted.
With Gartner predicting that large enterprise exclusive use of AIOps will rise from five percent in 2018 to 30 percent in 2023, it seems likely the technology will increasingly be viewed as a practical and necessary next-generation IT solution.
AIOps Tools: Key Capabilities and Value For Users
As more businesses invest in digital transformation, they’re finding it difficult to manage and process the increasing scope and complexity of monitoring and performance data. And they often spend substantial amounts of time and money manually processing the data.
AIOps tools help IT teams detect and understand patterns in these vast and diverse sets of data. The result? They can make real-time data correlations, prioritize incidents based on severity, and build predefined response plans. Put in simpler terms: they can more quickly find, fix, and prevent performance problems.
By using AI and ML to gain actionable insights from raw data, IT operations are transformed through:
- The elimination of data silos, which makes for a more collaborative work environment and turns your entire IT infrastructure into a well-oiled machine.
- Consistent and optimized resolution via data-driven business decisions that yield a surplus ROI with minimal effort.
- Efficient data processing where operational fatigue and maintenance issues are mitigated, and team performance is improved.
- Improved insight into workloads that drive costs so they can be optimized or avoided.
- Increased business responsiveness so your organization is up-to-date with emerging trends.
"In short, AIOps tools enable you to operate at the speed a modern business requires."
Easy Steps To Get Going
The best AIOps tools deliver speed innovation, increase IT efficiency, and, perhaps most importantly, offer a superior user experience. Representing the forefront of innovation in IT operations, AIOps tools put your organization on a path to maximizing processing, correlation, and analytics while providing data transparency and enterprise-wide automation.
Best of all, it’s easy to get started integrating AIOps into your existing IT environment. In just a short time, your IT team is working faster and smarter and detecting and resolving issues earlier, which, in turn, boosts the stability and performance of business-critical digital services.
Topics from this blog: aiops
