Artificial Intelligence for Operations (AIOps)

Leverages explainable machine learning (ML) to be your trusted digital advisor with ExtremeCloud IQ CoPilot.

ExtremeCloud IQ CoPilot

The ExtremeCloud IQ CoPilot delivers enhanced artificial intelligence for operations (AIOps) capabilities to streamline daily activities and enable IT organizations to be more proactive. CoPilot license tier builds on the extensive capabilities of ExtremeCloud IQ.

Explainable ML

Clear and comprehensive machine learning (ML) models offer transparent insights to build trust and provide actionable recommendations. 

Contextual Anomalies

Leverage comparative analytics using data collected across various levels to generate dynamic baselines and proactively detect anomalies. 

Enhanced Assurance

Exclusive digital twin functionality enables testing of virtual devices before they are deployed to enhance network assurance.  The unique digital twin feature facilitates network assurance by allowing devices to be virtually staged before deploying them, helping to reduce risk.
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Extreme’s Approach to AIOps

The AIOps features in CoPilot helps organizations become more proactive and reduce operational costs. The industry research included in this eBook explains how AIOps helps IT organizations align to the business.

AIOps tools deliver explainable machine learning (ML) that is simple and easy to interpret so users can trust the analysis and recommendations from the application.

Read eBook Why is Explainable ML important?

ExtremeCloud IQ is a cloud-based network management solution that leverages an anonymous network telemetry data pool across the base of attached devices. Comparative analytics allows data to be analyzed at the local device, installed location, associated devices, and across multiple sites for greater context.

CoPilot views anomalies at multiple levels. It generates dynamic baselines based on a broader view of what is "normal", so it can identify anomalies in context.

CoPilot facilitates network assurance by allowing network devices to be virtually staged and simulated before deploying them, helping to reduce risk.