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AIOps

Artificial Intelligence and Machine Learning to Run Faster and Smarter IT Operations

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AIOps Virtual Summit is now available on-demand

What is AIOps?

AIOps is the use of advanced algorithms and artificial intelligence techniques for analyzing big data from various IT and business operations tools, to speed service delivery, increase IT efficiency and deliver a superior user experience. AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement.

Since AIOps leverages big data, data analytics and machine learning to provide insight and enable a higher level of automation, no longer does IT Ops need to depend extensively on human operators for the management tasks that modern infrastructure and software require. AIOps solutions ingest data from a variety of resources and then store and provide access to that data enabling advanced analytics at the point of ingestion and the point following the access of stored data.

For this reason, AIOps holds tremendous value. Going forward, AIOps will play a key role in enabling new efficiencies for IT Ops teams. It will also make practical the adoption of complex next-generation technologies that cannot be managed successfully using traditional solutions.

Key Drivers for AIOps

In today’s economy where every business is in the software business, downtime is costly and slow is the new down. Proactively managing and improving experience of modern applications, cloud or traditional infrastructures and networks is a necessity but it’s not easy.

Digital businesses and technologies are increasing the volume, velocity and variety of data. Manually correlating and analyzing data or alerts is becoming increasingly difficult for IT operations teams with existing siloed tools spread across mobile, the cloud and the mainframe.

It is now imperative that you have comprehensive visibility coupled with AI and machine learning. That means normalizing, correlating and analyzing massive volumes of IT operational data across your entire digital delivery chain to speed service delivery, increase IT efficiency and deliver a superior user experience.

Successful digital transformation requires AIOps. It enables IT teams to automatically analyze large volumes of digital data—making it easier to solve hard problems. It’s operational intelligence across user, app, API, infra and network services. It’s cross-tier correlated insights, machine learning and predictive analytics.



Key Use Cases

Driving Faster Root-Cause Analysis

AIOps solutions can help IT teams rapidly understand the causality of a problem effecting a certain single or set of services and contextualizes the relevant information so you can execute the appropriate remediation.

Easily Predicts Issues Earlier With Smarter Alarms

AIOps solutions can also generate alerts based on values of abnormal scenarios (anomaly detection). Behind the scenes, the appropriate algorithms learn from data across tools and identify events that do not conform to an expected pattern. This also reduces the effort in managing manual alarm thresholds.

Algorithmic Noise Reduction and Correlation

This solution eliminates redundant alerts and automatically correlate related alerts to improve detection of critical issues and faster resolution.

Predictive Identification of Capacity Bottlenecks

AIOps solutions can help you to avoid service disruptions and reduce waste by discovering under-utilized capacity across hybrid infrastructures.

Intelligent Automation

Leveraging the cross-domain, intelligent insights generated, AIOps solution trigger processes within automation and collaboration tools to drive faster, automated issue remediation.

Hear What Your Peers Are Saying About AIOPS

AIOps will reduce false positives, build alert correlation and help in identifying root cause without having our tech going to multiple tools.

Arnab Mukhopadhyay, ITSM Professional, Florida Department of Transportation

Source: TechValidate. TVID: 039-5C4-D7A

Benefits of AIOps would include less time to manually create and adjust our monitoring alerts. This manual process is not a one-size fits all solution, so it not only requires a large team, but also requires repeated adjustments in a growing environment. With machine learning to analyze our data, we can proactively be alerted on potential issue giving us time to react and resolve a larger issue before it happens.

System Administrator, Large Enterprise Food Company

Source: TechValidate. TVID: BE0-257-73F

Featured Solutions

CA Application Performance Management

Future-proof your digital business with unmatched insight and intelligence.

CA Digital Operational Intelligence

Leverage algorithmic operational intelligence to proactively resolve issues, cut through false alerts and optimize key resources.

CA Mainframe Operational Intelligence

Embedded analytics to proactively prevent problems, fix issues faster and get more done.

What are our customers saying about us?

Improve Mean Time to Repair

A large enterprise banking company can improve mean time to repair by up to 60% with CA Digital Operational Intelligence.

Source: TechValidate. TVID: 25C-E78-5A0

Reduce False Alerts

A large enterprise telecommunications services company can reduce false alerts by more than 80% with CA Digital Operational Intelligence.

Source: TechValidate. TVID: A6E-4C2-A87

AIOps Virtual Summit is now available on-demand

AI-Driven IT Operations Management (ITOM) Blog

Insights to deliver flawless digital experiences through modern, full-stack, AI-driven IT operations monitoring and analytics from CA. Check out our blogs on AIOps, APM, Infrastructure Management, Network Operations and more.

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