Nowadays, we see that the number of resources, applications, processes and services of the companies do not stop growing, and on the other hand, their complexity also increases at a high rate. If we add to all this the enormous speed of innovation in which we are immersed, we observe that complexity becomes exponential. Therefore, all this makes the control of operations more complicated every day.
This is “why”, the need for companies to rely on solutions that help them manage all their operations efficiently arises. Regarding “how”, it is produced by collecting information from four main data sources (infra, apps, network and digital experience), of course through Big Data technology, to finally develop and consume artificial intelligence solutions. Finally, with regard to the “what”, it is simply a matter of developing tools that are capable of detecting anomalies, predicting risks, identifying future needs and, here comes the beauty of it all, doing it all in real time and automatically.
Although it sounds like science fiction, task automation through artificial intelligence is not new. Every day, more and more processes are automated or have very little human intervention. This is also digitalization.
Jumping back in time, it was in 2016 when Gartner coined the term AIOps, defining it with the following phrase:
“AIOps platforms utilize big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical (real-time and deep) technologies, and presentation technologies.”
The application of an AIOps solution is therefore extremely interesting for all types of companies, regardless of their size. This will enable them to optimize resources, improve user experience and, above all, have a robust and unified source of control. So start planning an AIOps team in your life 😉
On the other hand, as the digitalization process advances, new opportunities are appearing in the professional sector and many of them require personnel who do not even have the necessary skills to fill the position. That is why continuous learning is especially important in order to maintain employability throughout professional life.