The Future of AIOps Is Here
In this article
Unlock your phone.
Chances are, you spend quite a bit of your life within that first page of apps.
With the advent of mobile technology, the concept of apps — as a means of interaction — has grown exponentially. As the world evolves and becomes more remote, an app often serves as the only way a customer communicates. They bank, communicate, research, entertain and manage everything through the aperture of an "application."
This new interaction model puts the app front and center, making app loyalty the new brand loyalty.
So, gone are the days of monitoring and managing apps in isolated silos, and welcome to a world where creating enterprise architectures to serve and create unified visibility into the app is the new reality.
Now, relative to an app-centric environment; customers don't care about cloud-first initiatives, Kubernetes, microservices or serverless environments.
They care about being able to easily book a flight.
They care about quickly buying and shipping a gift.
They care about using technology, and apps, to make their life easier.
As technology providers and business owners, now more than ever, IT infrastructure must be viewed as a means to deliver the best app experience and to do that, it must be managed and monitored cohesively.
On top of the complexity of managing and monitoring a global enterprise environment, most customers are comparing their experience with an app to the experience they've come to know from other app providers like Google, Facebook and Amazon. The bar set by these organizations creates a level of app performance expectation that is nearly impossible for an organization to match, unless that organization begins removing the human break points in decision making and replaces it with AIOps.
In 2017 Gartner coined the term AIOps, giving an IT buzzword some much needed definition and structure as to how AIOps platforms utilized big data, machine learning and other advanced analytics technologies. Today, not only can AIOps enhance IT operations like monitoring, automation and service desk functions, but it can also enable the concurrent use of multiple data sources, data collection methods and real-time analytical and presentation technologies.
But three years later, organizations are still struggling to gain value from what they still believe is a far-off concept, and have yet to truly unleash the power of AIOps.
By utilizing AIOps to isolate high value decisions and then letting AI and machine learning make the smaller, less consequential operational decisions, enterprise organizations can now keep up with the operational expectations of an app-experienced customer.
AIOps is closer, and more achievable, than ever before.
If you are ready to learn more on the rise of AIOps and its current state, how it can deliver the better outcomes for your business and get real-world examples of how AIOps is being used every day, schedule a live demonstration with WWT's AIOps & APM team.