How Can AI For IT Operations (AIOps) Help Your Business?

Well, Artificial Intelligence for IT operations is an important part of this new world. As the present and the future of IT operations will rely on automation, AI can help with it in so many ways. It not only assists humans better but also gives us insights/projections and resolves problems we didn't even know existed or could arise. AI simplifying tasks reminds us of a fully conscious, super-soldier, cyborg blonde machine from The Machine (2013), who was more human and moral than anyone else (and also our inspiration behind the dialogue you read in the first line.)

In fact, why just this film? We mean, look around you, like those self-driven cars or facial recognition technology or payment portals, AI is spreading its roots far and wide. It's a matter of fact that AI is being touted as the next big thing that will change every industry, from healthcare to education to agriculture. As more and more industries adopt AI, inevitably, IT operations have also embraced this technology.

In the first place, predictive analysis is an awesome wonder of AI that allows IT teams to optimize resources and automate their redundant tasks. Moreover, machine learning, an application of AI algorithms, facilitate computers to learn by themselves and make predictions.

Well, that's not all! AI for IT Operations is filled with many more wonders and advantages. Everything will be revealed in this article; let's begin with understanding the whole concept of Artificial Intelligence For IT Operations aka AIOps.
 

Uncovering The Unseen: Artificial Intelligence For IT Operations

Gartner coined the term “Artificial Intelligence For IT Operations” in 2016 and defined AIOps as the use and ongoing absorption of Artificial Intelligence in routine IT Operations, lightening the workload by easing and automating manual tasks such as monitoring, parsing, etc. thereby attending to higher-level IT issues.

It integrates various AI strategies, namely data output, algorithms, analytics, machine learning, automation, etc. AIOps also perform consistent monitoring without any break so that IT professionals can focus on other severe issues and essential errands that can increase business performance and productivity while bringing stability to IT operations.

Well, apart from being a hero in IT operations, AI played a major role in movies like War of the Worlds. A movie that told the story of an invasion of Earth by Martians to conquer Earth and its inhabitants. Martians were shown using advanced technology as humans' technological advancement had been outpaced by that of the invading Martians. #ItsJustAMovie #WeHope
 
After this little tour of AI entertainment, let’s #sneakpeak into the history of AIOps.  
 

Artificial Intelligence For IT Operations: Where Did It Come From?

Although AIOps is considered a relatively new term and still gaining momentum, the history of AIOps dates to World War 2 when it improved military efficiency and decision-making on the battlefield.

In 2001, (the same year in which the movie A.I. Artificial Intelligence was released), the emergence of Machine Learning enabled industries to use operation analytics with high-level pattern recognition and serve predictive needs. Pattern recognition included five stages namely data collection, feature selection, model selection, learning and cognitive assessment. Without the evolution of AI, none of this would have been possible.

Moving ahead, in 2010, cloud migration increased Big Data practices in businesses. During this phase, enterprises moved to the cloud, Big Data surged industries towards expansion and Artificial Intelligence experienced growth in IT Operations.

In 2014, the Gartner Effect took the IT industry by surprise. In 2016, Gartner Effect highlighted and predicted AIOps might increase revenue and reduce costs using lineal usage of machine learning and AI to improve its workflow. By the year 2017, 15% of enterprises used AI in IT Operations and the rest is history!

That was all about the evolution of AIOps; now let's take a glance at its process.
 

Artificial Intelligence For IT Operations: How Does It Work?

Unfortunately, IT data is often highly redundant and noisy. This means it can be difficult when dealing with large amounts of data. What if you could filter out up to 99% of this noise? AIOps allows you to find meaningful relationships between the selected, meaningfully grouped pieces of data for advanced analytics!

Let's take a quick rundown of certain tasks enabled by AI for IT operations:
   

• Detecting Problems

  AIOps enables you to alert appropriate operators and teams about errors, as well as provide collaboration among individuals who are geographically dispersed. When operations data is gathered, it can help to diagnose similar problems in the future.

• Discovering New Patterns

  AIOps helps in analyzing and finding correlations between selected, meaningful data elements. It groups the data elements to better understand their relationships for advanced analytics.

• Automation Is Reducing Human Efforts

  Who's unaware of chatbots? With this amazing technology, IT companies are now taking care of IT-related customer service inquiries without human assistance. Besides this, automation helps IT employees to manage extensively complex tasks and empower them, so they are not overwhelmed.

Let's head on to the next segment and see how AI is aiding IT operations.
 

Decoding The Benefits Of Artificial Intelligence For IT Operations

From blockbuster hits like "Transcendence" to TV series like "Westworld," AI has captured the popular imagination and shown us how it can be helpful to mankind. Let's figure out how IT operations are leveraging the benefits of AI.

 

• AIOps can improve performance by monitoring the real-time availability of network infrastructure, applications, end-user devices and server systems.

• AIOps is a powerful tool for predictive insights and preventing service outages from affecting business performance.

• AIOps provides proactive service automation that solves infrastructure and performance issues before they occur.

• Based on user experience (UX) metrics, AIOps can suggest new optimizations to the IT infrastructure.

It's time to figure out the need for AIOps – no points for guessing though!
 

Business Need For AIOps

Businesses need AIOps over traditional IT operations management for the following reasons.
 

• No More Data Siloes

  AI can now assist in breaking down data silos. Data analysis and monitoring are possible because of the amount of data that can be mined in real-time. Establishing a strategy for identifying problems is best done by checking the systems’ baseline performance and then verifying specific areas on an ongoing basis. AI enables this across databases and sources, eliminating data siloes.

• Flawless Customer Experience

  Predictive analytics is used to offer superior user experience and unified customer experience. AIOps enables businesses to make complicated automated decisions. By putting the accumulated data to the best use, it becomes possible to forecast future events that may influence availability and performance before they occur.

• Combating Monitoring And Analytics Glitches

  AIOps enables your IT team to save time by reducing their attention on mundane and monotonous tasks. Using AI algorithms and machine learning, IT teams train AIOps platforms which help them overcome any obstacle related to monitoring and analytics of the vast IT infrastructure.

It's not over yet! The future is a lot more exciting than this.
 

Seeking Insights Into The Future Of AIOps

The cloud infrastructures will be revamped in the form of multi-cloud environments. This capability will help in monitoring, managing and acting upon complex stacked systems in real time. Traditional monitoring tools can slow down response time. The future of AIOps solutions will hence improve performance monitoring across cloud environments.

By using Artificial Intelligence For IT Operations, businesses will develop more advanced operations management tools. This will allow organizations to visualize, interpret and improve applications performance with less effort and fatigue. AI will also help identify areas of improvement in the IT environment – be it physical or virtual.
 

Conclusion

Artificial intelligence (AI) has aimed to completely transform IT operations. Actionable insight from AI is rapidly becoming one of the most valuable assets to any organization and IT operations teams should lead the way for excellence in adopting this technology to stay competitive. This article presented insights into the concept of AIOps, how it works, its benefits and more – we hope you enjoyed reading it!