AIOps is the application of advanced analytics in the form of machine learning (ML) and artificial intelligence (AI), towards automating operations so that your ITOps team can perform at the pace that your business expects today. AIOps integrates big data with machine learning to create predictive outcomes that help drive faster root-cause analysis (RCA) and accelerate mean time to repair (MTTR). By providing intelligent, actionable insights that drive a higher level of automation and collaboration, your ITOps can continuously improve, saving your organization time and resources in the process.
The application of AI, and related technologies, such as machine learning and natural language processing (NLP) to traditional IT Ops activities and tasks forms the basis of AIOps. Through algorithmic analysis of IT data and Observability telemetry, AIOps helps IT Ops, DevOps, and SRE teams work smarter and faster, so they can detect digital-service issues earlier and resolve them quickly, before business operations and customers are impacted. With AIOps, Ops teams are able to tame the immense complexity and quantity of data generated by their modern IT environments, and thus prevent outages, maintain uptime and attain continuous service assurance. AIOps builds real-time systems in the form of context-rich data lakes that traverse the full application stack in order to reduce noise in modern performance and fault management systems and drive automation with the ultimate goal of improving time to resolution.
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