The scalable intake and analysis of data created by an AIOps platform combines big data and machine learning to enhance IT operations. Multiple data sources, data gathering methods, and analytical and presentation technologies can all be used at the same time on the platform.
"AIOps platforms bring crucial features beyond what a monitoring tool with embedded AIOps can deliver," according to Gartner's 2018 Market Guide for AIOps Platforms. "A genuine AIOps platform can combine big data and machine learning functionality to support all core IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, diversity, and velocity of data generated by IT," according to the company. high adoption of Machine learning is expected to propel growth of the AIOps platform market.
To automate typical IT activities, the AIOps platform uses intelligence and self-learning algorithms enabled by machine learning. It also examines historical and behavioural data in order to identify and anticipate prospective occurrences. Furthermore, it analyses cognitive data using big data analytics and extracts essential information from the data for complete processing.
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