AIOps adds value to organizations. In the future, it will play a very important role in increasing the efficiency of IT teams and will facilitate the adoption of next-generation complex technologies that traditional solutions are unable to cope with. Digital transformation requires AIOps because with this new concept, IT teams can automatically analyze large volumes of digital data and solve difficult problems faster. But what are the main areas in which AIOPS will have an impact?
Analysis of the cause of the problems
AIOs solutions help IT teams quickly understand the cause of a problem that affects a particular service or set of services and contextualize the relevant information so that the most appropriate correction can be performed.
Reduction of algorithms and correlation
AIOPS eliminates redundant alerts and automatically correlates related alerts to improve critical problem detection and expedite resolution.
Preventing problems through smart alerts
AIOps solutions can generate alerts based on abnormal scenario values (anomaly detection). Algorithms learn from tool data and identify events that do not conform to a previously established pattern.
Through the intelligent insights generated, AIOps solutions drive processes in the automation and collaboration tools to provide faster problem correction.
Predictive Capacity Identification
AIOps solutions prevent (or at least greatly reduce) service interruptions and reduce waste by discovering underutilized capacity in hybrid infrastructures.
Agility between teams and datacenter groups
AIOps provides each functional IT group with relevant data and perspectives, as it has the ability to learn which analysis data to display for each group.