Applying AI Operations to Service Management for Modern Networks and Infrastructure

Applying AI Operations to Service Management for Modern Networks and Infrastructure2019-03-11T09:27:48+00:00

AIOps platforms leverage big data, machine learning and analytics technologies to improve IT operations functions (monitoring, automation and service desk). The objective is to analyze all relevant data (real-time and deep) so that problems can be prevented or resolved quickly without or with minimum human intervention.

This webinar will examine different uses for Machine Learning and compare Machine Learning to other related technologies such as Artificial Intelligence, Data Mining, Predictive Analytics and others. Several use cases will be discussed that will demonstrate how Machine Learning is used to uncover anomalies in the network and infrastructure that would be extremely difficult or impossible to detect using legacy tools.

Join subject matter experts from Federos and Elastic for a discussion on how we are working with customers to solve their Service Assurance challenges by unifying management of legacy (physical) infrastructure with a hybrid software defined environment. Server virtualization, Software Defined networking, Network Virtualization and Network Function Virtualization(NFV) have added enormous complexity and demands on the operations to identify and restore service to their customers.  See how we are delivering Machine Learning capabilities to our Assure1 product to further isolate problems in this ever-increasing complicated environment.  A short product demonstration will also be included.

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