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Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence

Enable the Autonomous Enterprise

What’s needed? ML/AI Assisted Networking

The amount of data traversing over networks is so astronomical that it has become impossible for humans to process, analyze and act on it. Help your organization by utilizing the power of machine learning and artificial intelligence to harness the data and process it faster, smarter and more efficiently. As we embark on the Autonomous Enterprise era, ML/AI solutions can automate operations, enhance security and enrich the user experience.

Traditional Networking

ML/AI Assisted Networking

Benefits of Extreme Networks ML/AI Solutions

Proactive Operations

Extreme Networks revolutionizes the IT operations experience by providing proactive, automated, self-healing capabilities. Our machine learning based engine in ExtremeAI for Smart OmniEdge offers predictive analytics technology, that learns the behaviors and characteristics of the wireless network, and automatically optimizes and heals it. It provides IT with proactive resolutions rather than the traditional reactive mode; freeing up time for IT to focus on value-add initiatives that supports their business’ objectives.

Enhance Security

Extreme Networks leverages ML/AI to enhance and enforce network security. ExtremeAI Security uses an unsupervised machine learning approach to learn the expected behavior of IoT network endpoints, and automatically trigger alerts and take action when an endpoint acts in an unusual way. It delivers threat detection and mitigation for IoT devices without any human intervention.

Enrich User Experience

By detecting and correcting problems before they manifest themselves to the end user, Extreme Networks ML/AI solutions can greatly enhance the end-user experience and reduce the maintenance and troubleshooting burden on IT.

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ML-driven Security Analytics and
Automated Threat Response for IoT Demo

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Gartner: A Framework for Applying AI in the Enterprise Guide

Have you heard? Gartner estimates that a 15% increase in revenue growth can be anticipated if enterprises implement Artificial Intelligence technologies into their “lead to revenue” processes.

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