Executive Summary
With the COVID-19 pandemic forcing every business to move online, the majority of enterprises have had to mature their digital operations forcefully rather than giving them enough time to evolve naturally. Out of business necessity, every surviving enterprise has devised a way out of the crisis by adding people, processes, and technology in an approach that was most cost-effective and yet offered them a quick way to sustain their business through the pandemic. Consequently, IT and digital operations have become an integral part of every enterprise. IT leaders face massive challenges to be efficient because they have either:
- Added too many tools and have become siloed. In addition to the fragmented data, many tools produce critical alerts for the same event, thus creating “alert fatigue.”
- Increased complexity. With the addition of cloud-native solutions and a combination of siloed IT processes, finding the root cause of a system problem has become very difficult.
- Collected more data than they can handle. The deluge of microservices, in multiple locations, produced from multiple stacks of applications, combined with velocity of development code, produces an enormous amount of data—enormous in both velocity and variety.
- Lost knowledgeable IT resources. The combination of experienced IT resources retiring at a faster pace and the “Great Resignation” in which millions of additional employees are voluntarily leaving their jobs has made it very expensive to find the right IT personnel to run the systems efficiently.
The time has come for the IT leaders to reimagine their IT and make it more efficient. IT is finally starting to turn the technology it has been proliferating across enterprises on itself. One such solution set is artificial intelligence for IT operations (AIOps). The following report gives leaders an idea of what to look for in an AI solution for properly retooling to mature their digital operations.
