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Artificial Intelligence for IT Operations (AIOps)

Posted on Apr 1, 2024 by
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What is AIOps?

AIOps, short for Artificial Intelligence for IT Operations, is a term introduced by Gartner to refer to technology platforms and processes that empower IT teams to enhance their decision-making capabilities and swiftly address network and system incidents.

AIOps leverages real-time or near-real-time analysis of vast amounts of telemetry and log data spanning an organization's IT infrastructure. By integrating this data with relevant historical information, AIOps generates actionable insights. Essentially, AIOps functions as an intelligent assistant equipped with extensive knowledge of the IT and network environment, allowing it to provide real-time analysis and execute or suggest subsequent actions.

Why Is AIOps Important?

AIOps plays a crucial role in enhancing the effectiveness and productivity of individual applications and services. Organizations that incorporate AIOps into their automated infrastructure and operations workflows witness improvements across various aspects, including security, response time to outage incidents, and infrastructure procurement. For those who are new to AIOps, it is perceived as an investment in performance analysis, anomaly detection, and event correlation capabilities that provide them with the ability to anticipate network-related events in the future.

Putting AIOps to Work

Embarking on the AIOps journey follows a similar path to deploying any other infrastructure analytics solution. Connecting the AIOps platform to the designated infrastructure is the initial step, followed by the commencement of discovery and learning. As the AI learning process progresses and sufficient data is ingested, preliminary insights start to emerge.

The AIOps platform diligently analyzes the IT environment, providing root cause analyses for occurring issues. The final stage of integrating AIOps into an organization's workflow involves automation. Once the AIOps platform has accumulated enough knowledge, it can autonomously address straightforward problems, offering automated remediation.

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