What are the key reasons organizations are adopting AIOps?

Artificial intelligence (AI) has been around for years, and we’ve all experienced firsthand some real-world examples such as self-driving cars, smart assistants, marketing chatbots, and more. But now, AI as part of network monitoring has gained considerable traction and has become a key element in AIOps. With ongoing digital transformation and IT environments becoming more complex, today’s businesses are turning to AIOps to help manage their networks for improved visibility and performance. Let’s explore some of the reasons why today’s organizations are adopting AIOps.

Too many monitoring tools make data analysis challenging

An industry report surveyed over 100 IT professionals and found that nearly 72% of organizations rely on seven to nine different IT monitoring to support modern applications. The use of so many different monitoring tools makes it extremely difficult to obtain end-to-end visibility across the entire business. This is especially true when IT teams are faced with analyzing large amounts of data from various tools and devices. It becomes nearly impossible to be able to correlate and analyze all this data by human intervention alone.

Integrating AIOps into IT operations helps to improve automation by triggering actions and workflows without manual intervention. By leveraging the data collected and analyzed by AIOps, predicting future incidents becomes possible which can help IT teams proactively address any issues before they arise.

Delivering the best customer service with predictive analytics

One key objective for any enterprise is to provide exceptional customer experience. Traditional IT tools simply can’t keep up with the volume and don’t allow for scalability based on the demand and lack of insights to correlate data across different but independent systems and environments. In short, real-time insights become next to impossible in traditional IT operations and make it difficult to resolve issues before the customer is affected.

AIOps can help collect and aggregate large volumes of data generated by multiple IT infrastructure applications as well as customer usage patterns that would typically take IT operations teams countless hours/days/weeks to manage. Furthermore, AIOps can analyze and manage complex data to predict future events and outages before they arise. With customized reports and dashboards, IT teams have enhanced visibility of the overall infrastructure allowing them to take a proactive approach to solving network problems. As a result, outages can be prevented before they impact the end user.

Improved collaboration between teams

Before big data and the cloud revolutionized business, it was the norm for different departments to create and manage their data. Teams developed their ways of working with data and analyzing it to best suit their needs. But the demands of today’s digital economy have changed how organizations collect, process, and analyze data. We are now seeing an increase in data silos which creates barriers to information sharing across teams and departments. Not only do silos prevent relevant data from being shared, but they also discourage collaboration and waste resources like time and money.

AIOps encourages collaboration and workflow activities between different teams, different departments, and even team members working in different time zones. It helps get everyone involved on the same “data” page by facilitating the sharing of comprehensive reports and data presentations in a single pane view.

Improved Return on Investment

Gartner reported that the average cost of network downtime for businesses is $5,600 per minute. However, this cost depends on various factors such as company size and industry vertical. For example, a 2016 study found that higher-risk industries such as banking/finance, healthcare, government, and media and communications average $5 million per hour. Also, there are intangible costs such as loss of customers, loss of employee productivity, and a negative effect on brand reputation.

By integrating AIOps, enterprises can reduce mean time to repair, prevent outages, and decrease IT operational costs which ultimately improves the bottom line.

In sum, with the need for greater IT visibility and better performance, organizations are turning to AIOps to handle the complexity of their IT environment and improve overall business operations to gain a competitive edge.

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