• Machine Learning
  • 4 MINUTES READ

What Makes AIOps the Future of IT Operations?

  • POSTED ON
  • October 20, 2022
  • POSTED BY
  • Aayan Arif
  • POSTED ON October 20, 2022
  • POSTED BY Aayan Arif

Can you imagine how complicated IT operations are nowadays? This is why we are discussing AIOps Solutions today. If you work for an IT firm, you out of many can understand that IT operations perform a vast variety of complex processes that include hardware management, network support, connectivity amongst many others. And when it comes

Can you imagine how complicated IT operations are nowadays? This is why we are discussing AIOps Solutions today.

If you work for an IT firm, you out of many can understand that IT operations perform a vast variety of complex processes that include hardware management, network support, connectivity amongst many others.

And when it comes to handling these intricate IT operations, conventional tools are not equipped to manage modern-day IT operations like storage, log files, and data management. Also, traditional IT management methods are becoming toothless to handle the latest IT operations.

With huge advancements and growth in the Information technology industry, expectations from IT departments have skyrocketed as they are expected to provide stability, reliability, and speed.

Why AIOps was Needed

Gartner had predicted years ago that typical ITOps methods would not cater to:

  • Bringing innovation in the IT operations
  • Warding off disruptors in the IT operations
  • Management of a large amount of data

Artificial intelligence and machine learning applications are doing wonders for businesses. This is where AIOps solutions for IT step in! Numerous companies are now adopting AIOps for their everyday IT operations. According to industry leaders, its adoption is expected to grow by 30 percent in the next three years, substantiating its effectiveness.

But what is AIOps? And how are AIOps solutions different from ITOps? Before we discuss that, allow me to explain how AIOps came into the limelight.

The Road to AIOps in the Era of Digital Transformation

We are witnessing a period of digital transformation. When I say digital transformation, I mean the adoption of state-of-the-art, innovative technologies and approaches like Cloud, DevOps Blockchain, to name a few. Digital transformation is how conventional, centralized IT procedures have moved to applications, bringing innovations and rapid deployments.

The Road to AIOps in the Era of Digital Transformation

Then there is a massive embrace of IoT technology and APIs. With all these modern technologies huddling together, there was a dire need for modernizing the customary IT operations that can serve the needs of these advanced technologies. This is how ITOps reshaped into AIOps to cope up with the digital transformation demands.

What is AIOps?

Let’s break it down! AIOps stands for “Artificial Intelligence for Information Technology Operations.” In simple words, it involves the management of data and how IT specialists handle information. What makes AIOps solutions distinct from ITOps is that it utilizes artificial intelligence and machine learning to boost operations of IT (especially in the automation and monitoring domain).

AIOps Solutions

It lays special emphasis on gathering deep insights after analyzing multiple sources of data. AIOps gathers this data through numerous data collection procedures.

What Driving AIOps to the Forefront?

As discussed earlier, AIOps is replacing routine IT operations. But what are the trends that are driving the growth in its adoption and why AIOps will replace ITOps?

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  • Dynamic environments beg the need for AIOps since ITOps is exceeding human abilities. Managing intricate IT procedures cannot be manually monitored by humans anymore.
  • The birth of IoT devices, applications, and APIs have made it almost impossible for ITOps to retain a tremendous amount of data
  • The issues of IT infrastructure management requires modern solutions
  • The need for more computing power away from the core IT.

Why is AIOps the Future of IT Operations?

Technology is not typical these days. It is moving fastly and uses several IT techs to provide help to you because you cannot keep up with the business requirements alone. You need AIOPs aid to optimize your processes. So let’s dig deeper into why AIOps is the future of IT operations.

Why is AIOps the Future of IT Operations

Addresses Analytics Challenges

Utilizing several monitoring tools makes it so complex to gather and analyze enormous data. The collection of data from multiple sources is the core principle of AIOps solutions. It then analyzes this data. Moreover, AIOps, with the help of Big Data and AI, improve the quality of software behavior. Therefore, AIOps solutions are fully equipped to address monitoring and analytics problems.

The Business Benefits it Offers:

  • Better collaboration

Provides better collaboration among IT groups.

  • Custom Solutions

Customized reports for better understanding

  • Improved Service Delivery

AIOps solutions do an excellent job in forecasting performance issues.

Revitalizing IT Operations Management

AIOps are reshaping IT operations management, such as:

  1. Owing to its efficiency, it reduces costs, improves customer experience, and anticipates technical problems, and avert them in advance.
  2. It provides marvelous cybersecurity solutions
  3. 3Ps play part in the victory of AIOPs: Proactive, predictive, & prescriptive multi-cloud operations
  4. It enables IT teams to predict Cloud/IT os problems beforehand
  5. Also help IT companies to find out and execute the best solutions to Cloud/IT Ops threats, when they appear.

Renders an Amazing Customer Experience

AIOps solutions specialize in predictive analytics, which ensures a consistent customer experience. Since it readily analyzes data and makes complex decisions, it can solve problems beforehand. At the same time, it assists in the process of deployment. These unique features confirm that customer issues are seen to in time.

AIOps Solutions – The Future of IT Operations

In a nutshell, AIOps has the potential to help IT experts in managing three key areas: active performance monitoring, better decision-making, and faster resolutions. You can bring in chief ML techniques to your operations as well and those consist of pattern matching, predictive analysis, historical data analysis, and causal analysis.

So what AIOPs do you need today? And what is the effective way to implement it into your current infrastructure? Connect with our experts to learn.

ABOUT THE AUTHOR

Aayan Arif

Content Strategist at vteams - Aayan has over 8 years of experience of working with multiple industries.

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