If there’s anything we’ve learned from the past several months, it’s that flexibility and the ability to adapt are the key to success. With the sudden and rather unexpected shift to remote work, many organizations have quickly discovered the need for a new approach to IT management. AI for IT operations (AIOps) has the potential to become the golden ticket for improving efficiency and creating a collaborative, supportive and secure environment for distributed workforces.
Bigger companies who have opted to spread their workforces across multiple satellite locations stand to benefit greatly from AIOps. In fact, with intelligent tooling, organizations with 50, 75 or even 100 remote offices are capable of operating cohesively. As the number of offices scales up, AIOps becomes even more critical. One area where it is of particular value is in automated remediation. Ideally, the goal is to have technology do the heavy lifting, with the ability to pinpoint when and where something has gone awry and preemptively correct it.
From a productivity standpoint, AIOps helps, both in terms of IT management, as well as helping remote employees stay on top of monitoring activity and environmental changes. With machine learning and artificial intelligence at the helm, human effort is reduced tremendously. Given the recent – and likely permanent – shift to satellite and remote operations, it’s becoming abundantly clear that AIOps is the approach of the future.
This isn’t to say AIOps is infallible. There is still a margin of error to account for. This is good news for humans, as this is where creating a hybrid approach that has people and robots working together comes into play. Where AIOps can really standout is in its capability of identifying subtle transient issues that might not otherwise trigger a ticket or catch the attention of the support desk.
A good example of this would be changes in latency that only occur for mere seconds. Independently, these subtle problems may otherwise go undetected, or may not seem significant enough to warrant attention. But, when viewed collectively as a trend, AIOps could potentially identify the changes as something that could eventually cause more significant and widespread issues.
Another area where AIOps can help is by prequalifying remote employees for the applications they run and the quality of their network connection. Workloads can then be automatically shifted and optimally distributed based on these pre-qualifiers. Furthermore, AIOps technology can limit event volumes, predict future outages, and leverage intelligent automation to reduce downtime and alleviate staff workload.
The most exciting part of all of this is that, for all intents and purposes, AIOps is still really only in its infancy. For those wishing to jump on the AIOps bandwagon, there’s still plenty of room. And we’ve got a quick and easy way for you to get started. Simply click here to launch a free, 30-day trial of Ayehu NG and start putting the power of AIOps to work for your organization.