AIOps: The next generation of IT monitoring applications?

Nick Wong
3 min read
]=An organisation with an extensive IT landscape has to deal with system failures on a regular basis. Very annoying of course for users, customers and not to mention the IT organization itself. It all comes down to how well and how quickly an incident is resolved. There are existing Service Management and Monitoring applications, but they do not yet use Artificial Intelligence. AIOps do and that's where the big difference lies.

IT Operations done smarter with AI and data!

The current business continuity is completely dependent on the performance and availability of IT. The pressure on IT Operations is growing rapidly. Every IT environment contains an enormous amount of data. Every incident or problem has a cause.

The event "IT Operations done smarter with AI and data" takes up the challenge and shows how AIOps, as part of the IT4IT paradigm, can save valuable time by reducing your MTTD/MTTR by 85%. Attention is also given to how a complete forensic image can be provided by reconstructing/following changes and movements in your IT landscape. Experience how the Helpdesk can be relieved, Incident Management can be helped by finding the "pin in the haystack" in just a few minutes instead of hours, days or even weeks.

Operational benefits of Artificial Intelligence Operations

Up to 90% less time spent on route-cause analysis? (online) Warroom meetings, but only with people who can make a real contribution to solving incidents instead of a fixed group? No longer unnecessarily summoning people in their spare time? Much faster informing users and customers (proactively) about the status/resolution times of incidents? Building knowledge bases with regard to incident management?
These are just a few of the practical operational benefits that are made possible because AI, in combination with computer power, does the analysis for you on the data needed to identify the causes that cause the incidents. It is often the search for the cause of an incident that is time consuming, costly and frustrating for many people involved.

Learning from previous mistakes

Large organizations are now investigating how AI (from a Data Science perspective) can contribute to better operational performance of IT organizations. It seems that AIOps therefore comes at the right time, because that is exactly what it does. Our experience is that AIOps leads to much shorter resolution times, lower operational costs, enormous time savings, higher customer satisfaction and a structural knowledge of incidents. An AIOps application, as a central management monitoring system, 'learns' from previous incidents and uses this knowledge to solve future incidents. The AIOps application is therefore becoming increasingly 'smarter' in resolving incidents and continues to pay for itself time and time again. The ROI of an AIOps has a double effect. On the one hand it literally saves a lot of time and money, on the other hand it is a 'self-learning' system that is getting better and better at analysing and establishing correlations of incoming incidents and data.

Various software vendors have designed and built advanced algorithms that analyse large amounts of data from IT Infra and (often multiple) monitoring applications. The trick is to implement these algorithms and connect them to the current service management processes within organizations, or better, to improve processes!

Where to start?

The benefits of AIOps and the intended returns are very concrete and promising. It is therefore worthwhile for organisations to take a critical look at the use and costs of current IT monitoring applications (often several are in use), to look at costs, maintenance, added value and to compare this with the possibilities of AIOps solutions.

The first step? Get involved in the possibilities of AIOps during the event "IT Operations done smarter with AI and data!" on June 25, 2019.

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