The world has undergone a significant transformation in recent years as cloud, mobility, mobile devices, big data and Internet of Things (IoT) have made their way into enterprise networks. With that transformation has come a data explosion, which enterprises are struggling to manage efficiently.
In addition, keeping up with an increasing number of SAP systems and applications being deployed, while continuing to support the mission-critical systems is demanding unprecedented pace and intelligence.
Hence enterprises are relying on AIOps to derive increased value and enable task automation, knowledge management, and change analysis to unlock the future growth and stay ahead of market disruptions.
What is AIOps?
You’ve probably heard of DevOps, which is the intersection of development and operations. Correctly done, the software development lifecycle is made more efficient and reliable. The idea behind AIOps is simple in that it is the application of Artificial Intelligence (AI) and other related technologies (such as Machine Learning – ML) to traditional IT operations.
By combining AI and Ops, the automation of IT processes for things like event correlation, anomaly detection, indecent detection, noise reduction, data integration, causality determination, and many repetitive tasks is not only possible but a must for enterprise businesses.
AIOps will become a very sought-after technological advancement, especially as more and more businesses begin to tackle digital transformations at scale to keep pace with ever-growing demand, and more complex supply chains. Without the addition of artificial intelligence and automation, your business is unlikely to keep up with consumer demand or competition. You’ll be left high and dry and unable to catch up.
But it’s not just about making your current process more efficient. AIOps is also about smoothing the difference between machine and human output. Business systems depend on data (logs, metrics, traces, event records, and more) at a very high volume. Because of the sheer amount of data needed for day-to-day transactions on a large scale, automation becomes necessary in curation, delivery, and processing.
No human can sift, sort, and process that much information. Hence, AI must be applied into operations for an inhuman level of automated delivery.
How AIOps Impacts the Job Market
AIOps is in demand and used for network optimization, SaaS application optimization, real-time application performance analysis, asymmetric network route tracking, planning for cloud-first strategies, and much more. What might have once fallen on the shoulders of only operations, now requires more intelligent technology that only AI can deliver? Every company must be thinking about its future and how it can reliably deliver in an ever-changing technological landscape.
And unless your business was designed, from the ground up, to inherently be digital-first, there will be lots of work to be done to remain relevant in a highly competitive market. AIOps is at the very heart of this.
The AI Revolution
AI is everywhere. It’s in the home, automobiles, IoT devices, data centers, mobile phones, and robotics. We’ve reached a point where nearly every piece of technology is on the verge of adopting AI.
It is easy to think that the distribution center of the future will not have the same number of human employees that it does today. In the IT operations world, we will see more and more automated tasks. However, it is not to suggest that current jobs will go to automation, but instead, it is about unlocking those aspirational jobs where manual intervention is more from an administration perspective and an ideal workplace which enables time and tools to deliver your next dream project.
Hence, it is important to understand the amount of manual work which continues to go on within their distribution centers today and the opportunity AI represents to transform the business. Such a transformation will make businesses more competitive through higher efficiency, accuracy, and agility.
Summary
AIOps is here and it’s not going away. This new blending of artificial intelligence and operations stands to help businesses around the globe perform in ways they might never have before dreamed of. But to successfully make the migration, this new shift must be embedded into the company DNA.
By making this shift so deep into the fabric of the company, your employees will see the benefit of an AIOps-centric workflow, especially as it pertains to low-level, repetitive tasks. In doing so, more staff can be focused on higher-value jobs which, in turn, better contribute to the growth of your company and the improvement of overall employee satisfaction.
