Artificial Intelligence

Why Network Management with AIOps is Essential?

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The challenge for the network operators is to meet the constantly increasing demand for business performance and improved end-user experience. The increase in digital transformation is constantly forcing many enterprises to have automation in line and IT leaders are eventually turning to artificial intelligence for IT operations (AIOps) to enhance their businesses, improve risk management, deliver faster services, and get actionable reports for better analysis. 

AIOps is the solution that helps businesses in maximizing endurance and experiences by growing efficiency. It intelligently assists enterprises by defining actual issues using predictive analytics. [NP1] It also focuses on the most critical issues to resolve. It eliminates troubleshooting and assumptions by providing the root cause and accurate recommendations to remediate the problem or an issue while reducing MTTR.

What is AIOps?

As per the analysis conducted by McKinsey, “The most advanced deep learning techniques deploying artificial neural networks could account for as much as $3.5 trillion to $5.8 trillion in annual value, or 40 percent of the value created by all analytics techniques.”

 

The rise in IT demands is encouraging many businesses to hunt for more automation[NP2] . IT leaders are turning to AIOps as a solution to automate their mundane tasks and authorize their IT teams to deliver better services and get actionable insights. In simple words, AIOps (artificial intelligence for IT operations) is a solution that includes machine learning and data analytics into IT operations to troubleshoot, monitor, and achieve other network management goals. [NP3] 

What kinds of challenges businesses might resolve using AIOps?

To stay ahead in this competitive era, businesses must make enhancements to ensure the end-user experience remains flawless and meets continuously growing demands. Technology has become more important for most businesses, especially businesses with IT infrastructure, but it also comes with major challenges. 

IT has traditionally worked in silos, which was problematic for many. Each component of the technology stack was divided among teams including developers, network admins, security in-charge, and business leaders. They are completely out of the loop and unaware of the things that are happening surrounding the infrastructure. Enterprises can quickly go through processes that can break down, and failures can be predictable using AIOps.[NP4]  Let us go through some of the challenges that enterprises might resolve using AIOps. 

Problem resolution

AIOps is a new way that businesses need to apply to their operational strategies and the best solution for problem resolution. It is the best solution[NP5]  to reduce silos and reshape an environment that can provide comprehensive monitoring across all aspects of the IT infrastructure. [NP6] Additionally, AIOps enabled automation is important for identifying and resolving problems in real-time as soon as they come up and before the end-user is impacted. The automation can save maximum time for IT teams so that they can focus on other essential tasks. 

Identify the root cause

The first struggle any IT team face is quickly identifying the root cause to resolve the issue on an urgent basis. [NP7] Enterprises spend a massive amount of money on their IT infrastructure, so they need to focus on how they can monitor their events, logs, errors, and anomalies into a centralized AIOps platform that can quickly compare all those metrics, quickly point out issues, and automate remediation, reduce potential outages to resolve problems before impacting any end-user.  

Make space for innovation

With an AIOps strategy and framework in line, the mundane tasks can be eliminated at most extend. [NP8] With automated processes enterprises can get insights into what precisely happened and what was done to fix an issue, and what was impacted during the process. This will free up more time for teams to focus on more innovation, thus it will also help them in reducing IT costs and eliminate the risk of losing customers. 

How and why enterprises are using AIOps?

Before implementing the concept of AIOps, enterprises should understand the concept and capabilities of AIOps, and learn how they can regulate the entire IT operations. AIOps can be applied and enhanced from time to time as it is capable of learning things very quickly. Otherwise, businesses will be left behind with outages and it can damage the bottom line and the entire process of infrastructure.

To help IT teams, AIOps solutions drive productivity by handling mundane and tedious tasks, also reduce friction in real-time. It also ensures the speed and consistency of digital services. Let us see how and why enterprises are using AIOps.

Instant Alerting: Enterprises use AIOps for delivering appropriate intelligent alert notifications that let IT teams understand event history, resolve incidents, and meet service-level needs for faster problem resolution. 

Root Cause Analysis: Many organizations want toensure better uptime and steadiness for services. Root cause analysis with the quick diagnosis of problems helps enterprises in getting visibility and predicting impacts to regulate the probable cause and effect of operational issues.

Threat Detection: Enterprises leveragemachine-learning algorithms to quickly identify the threats through pattern recognition, it allows IT teams to extract signals from noise and recognize events that vary from regular system behavior. 

Visualization of Incidents: AIOps platforms are helpful to organizations in highlighting incidents that can cause problems and needs immediate attention. Relevant performance metrics can support incident responders in getting quick resolutions. 

The core aim is to reduce incident and ticket volumes, significantly reduce the time their teams spent on the first response, prioritize the alerts, and find the root cause of the incident. Enterprises use AIOps to eliminate low-value, repetitive tasks, increase the potential of the entire infrastructure, and for quick issue remediation through faster root-cause analysis. 

Choose the best AIOps solution that will work for your enterprise

AIOps tools are already getting popular in 2022, which indicates a shift toward a modern IT strategy from using machine intelligence to getting enhanced support for digital transformation. Many of you must be wondering if your organization needs AIOps or not. Here are some of the key questions that will help you evaluate the right AIOps tool that meets your business requirements. 

  • What purpose an AIOps solution will resolve? 
  • What are the key features of an AIOps platform that your enterprise will need?
  • How advanced analytics will help IT operations?
  • What kind of benefits AIOps can bring to your business?
  • How AIOps tools differ from normal network monitoring tools?

Once you identify all the above questions you will get a clear picture of whether you need an AIOps solution or not. If you need one, you can look for various AIOps solutions that are available in the market, compare them, try their free trials, explore as much as possible, and then take the right decision.


Write from passive to Active voice. [NP1]

This is a pretty vague statement. Pls provide specifics.  [NP2]

AIOps is not a process. It’s a solution. There is a lot of difference. [NP3]

Simplify this statement. [NP4]

It is not a method. You don’t “insert” AIOps.  [NP5]

Rewrite this. [NP6]

Simplify this. [NP7]

Simplify this statement pls [NP8]

Amit Shingala is the Co-Founder & CEO of Motadata (Mindarray Systems Pvt Ltd). He holds over 13 plus years of experience in building, scaling, and selling enterprise products. He has designed and built solving complex problems of cross-monitoring by gathering meaningful insights from a hybrid infrastructure, leveraging data ingestion from heterogeneous sources, and ML capabilities.