IT has been in a race to tame the complexity of the technology architectures it must operate almost from its inception. For most of that time, organizations could use filters, rules, and automation to quiet the noise. Today, however, that’s no longer possible. There are just too many systems, creating too many alerts, and generating too much noise for that to work. Traditional systems break down when there is this much information bombarding them.
BigPanda is part of a new generation of tools that are using artificial intelligence and machine learning to make the process of managing IT operations more, well, manageable. The company claims, however, that it goes past detection and correlation — where, it says, most of the players in this space stop. Instead, the company creates what it calls an autonomous digital operations platform that starts with incident identification and correlation, and then continues through the entire incident lifecycle of prioritization, root cause analysis, and remediation — handling much of the process autonomously.
The goal of its platform, the company explains, is to make operations people more efficient by automating everything possible and streamlining those remaining activities that operations staff must handle directly. The company says that it has invested significant resources in making the man-to-machine interface as intuitive and streamlined as possible to help organizations manage their increasingly complex environments simply and efficiently.
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