Techssocial | AIOps stands for artificial intelligence for IT operations. It is a machine learning analytics technology that enhances its operations analytics, including automation performance monitoring and event correlation among others. It includes both machine learning and big data to help you in RCA and reuse MTTR.
AIOps is a combination of artificial intelligence and operations terms and was first coined by Gartner in 2016. It is a multi-layer tool platform that uses machine learning and big data science to identify and resolve IT operation issues.
AIOps (Artificial Intelligence for IT Operations) can help you tackle the expanding complexity of this vital technology. The widespread use of the AIOps platform is to analyze large and unconnected data sets.
Table of Contents
What Is the Need for AIOps?
Artificial Intelligence for IT Operations uses both machine learning and artificial intelligence to provide innovation enhancement and mechanization of IT operations. It has a business to deliver fast service, enhance user experience and improve overall efficiency.
Managing downtime and slow servers are two costly for any business. Cloud servers and mobile applications need proactive management. But with the digital advancement, the complexity has become too high; hence you will need to hire IT staff that can stay alert 24*7 to deal with everything.
But this is not possible, in such a situation, AIOps come in handy. It can help you to automate the whole process and provide:
- Faster root cause analysis
- Predictive analysis
- Noise reduction
- Predictive identification
- Intelligent automation
- Proactive remediation
For these reasons, companies should start AIOps training as soon as they can.
Stages Of Artificial Intelligence for IT Operations
Collect Data
The first step includes collecting extensive and diverse data from IT operations management & IT service management. It is the process of breaking the data silos.
In this process, the data is brought together so that the dialogue between them can begin to accelerate RCI and automation.
Data Aggregation
Big data is the heart of this process. Vendors use big data technologies, such as Spark Streaming, Kafka, and Redshifts to bring the data together and make it ready for further processes.
Artificial Intelligence and Machine Learning
The main aim of this process is to separate the alerts from the noise in real-time.
Machine learning and AI analyze the vast quantity of data, use existing manual analytics, and enable new analytics on the latest data at a better scale and speed.
This process uses AI technology to core relate information, identify patterns, discover anomalies, detect the root cause and establish relationships between the whole. It is the neighbor to provide faster and more accurate solutions.
Automation
The final stage involves full automation of the process of solving the issues without any human interaction.
Visualize and Insight
You can see comprehensive reports and visualization of the whole process to make effective decisions in the future and also improve your IT infrastructure. It also helps you to identify new or recurring problems.
Benefits Of Artificial Intelligence for IT Operations In IT
- Reduce downtime
System downtime and the slow server are too costly for any business, resulting in lost revenue, low productivity, and bad user experience. It not only directly harms the organization but also indirectly harms its reputation.
The AIOps can detect and react to emerging issues before it becomes a problem.
- Noise Reduction
Operational noise is one of the biggest problems any IT operational team faces. It increases the cost and also lowers their performance. The AIOps help you to separate the noise from valuable alerts.
Passing the data through multiple processes separates the noises from the root cause of any issue and resolves them.
- Faster Data Processing
The AIOps help you collect the raw data & pass it through several algorithms, including machine learning and big data to get better insight and resolve the problem fast.
- Reduce Operational Cost
The AIOps uses cases to reduce operational costs considerably. It provides- better visibility to the companies, improves efficiency, reduces false positive alerts, and helps analysts to identify potential problems.
- Automate
Manually doing the whole process of collecting the data, separating them, and finding valuable alerts is a time-consuming and labor-intensive job. Also, there is no guarantee that the reports will be error-free.
But with AIOps, you can automate the whole process and get intuitive reports to make proactive decisions.
- Improved User Experience
Lastly, one of the significant benefits of AIOps is improved user experience. With less downtime and a faster server, you can provide users with a better digital experience. Also, you can replay their whole session to find out if there is something that they are struggling with and resolve them.
Final Words
To conclude, we can say that AIOps (Artificial Intelligence for IT Operations) is a combination of machine learning and artificial intelligence that can help any company to improve its IT infrastructure and keep up with the pace of digital advancement.
Hemant is Digital Marketer and he has 6 + years of experience in SEO, Content marketing, Infographic etc.