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OpsRamp OpsQ: for Modern IT Operations Management

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Get started with AIOps | Tools | Vendors

Artificial Intelligence for IT Operations (AIOps) is an emerging discipline in the world of IT operations. However, what is an AIOps platform? How can AIOps work? What can it do for an IT organization? And most importantly, how can you get started? This AIOps market guide reviews the definition of AIOps as well as the principal questions that teams may have as they learn how it can fundamentally alter their contemporary IT organizations. 

AIOps leverages a wide set of technologies, including machine learning, network science, combinatorial optimization, and other computational approaches, for solving ordinary IT operational issues at scale. In simple terms, AIOps collects data from various sources and analyzes that information to offer actionable insights to organizations. There are tons of AIOps companies which provide the solution.

Enterprises can address a wide array of IT management activities using AIOps, including smart alerting, alert correlation, alert escalation, auto-remediation, root-cause evaluation and capacity optimization. Traditional AIOps tools are not real-time and need manual intervention, however modern AIOps tools could be integrated with any current platform. Modern AIOps not only analyzes data but also enables IT to make quick decisions based on actionable insights.

The AIOps market is undergoing rapid growth with volatile enterprise adoption, accelerated revenue growth and continuous investments from electronic and IT operations sellers. While standalone stage tools have defined and shaped the AIOps market to date, a number of adjoining AIOps vendors are either building or acquiring companies to assemble competitive AIOps portfolios.

By 2022, Gartner forecasts that 40% of large enterprises will embrace AIOps solutions to cope with endless alerts and ensure faster recovery from disruptive IT outages. Here are lots of AIOps vendors whose AIOps tools address many different use cases. Many of these must be constantly tuned and optimized for data ingestion, while some use native application, network and/or infrastructure monitoring instrumentation to provide a richer, more contextual view of support health and incident remediation workflows. Look for strong integrations and native instrumentation while selecting an AIOps provider. Get more info AIOps vendors at OpsRamp.com