The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination
Nayanaraja V Naidu writes in
"AIOps is the proactive answer to many lingering issues in application development environments. It approaches IT infrastructure and systems through real-time monitoring and addresses issues before they spread across the system. This is possible mostly because an AIOps platform ingests all the data from across all the systems in the application landscape, applies AI principles to analyze it, and creates opportunities to proactively identify and improve, optimize, or correct these areas..."
RPA is a fast-growing category of software, driven by global enterprise digital transformation efforts. Is it ready for prime time? This guide covers the benefits, best practices and use cases today.
"Judging by the interest in the concept," notes James M. Connolly in
"it looks like IT people, and even many businesspeople, have figured out the first lesson in dealing with robotic process automation: There are no robots, no androids, not even one little R2D2.
RPA is about letting computers, software and, often, voice technology take over the routine, repetitive and boring business tasks that humans don't really want to do. In doing so, the computer doesn't complain but does work 24x365 without needing days off. Those processes are the workflows and rules that human business leaders define..."
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