A leading retailer based in the U.K., in early 2021, was in search of help to solve a few problems its business was facing, and so they decided to implement automation—starting with the resolution of service desk tickets. There were too many tasks and processes that the company’s IT team was completing manually. They needed to automate such repetitive work, with the potential to build onto other automations already in place.

In the ever-evolving world of network operations, staying ahead of the curve is crucial. With the exponential growth of data, increasing complexity of networks, and rising demand for seamless connectivity, traditional network management methods are becoming insufficient. Artificial Intelligence (AI) is the transformative technology poised to radically transform network operations. By integrating AI into network management, organizations can achieve unprecedented efficiency, reliability, and performance.

Observability systems are designed to keep tabs on key metrics, identify unusual patterns, and alert teams when things go awry. Despite best efforts, however, these systems are not infallible, and sometimes they send out alerts for issues that don’t exist. This is what we call a false positive. These false alarms can wreak havoc on team efficiency, lead to alert fatigue, and obscure genuine problems. Let’s delve into what false positives are and why they matter so much.

When it comes to IT automation, the choice between a service orchestration and automation platform like Resolve Actions or building your own automation engine or workflow tool is a pivotal decision. While each option presents its own set of strengths and considerations, Resolve Actions emerges as a powerful solution for organizations looking to streamline their automation efforts. Here’s why.