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Applying AI Operations to Service Management for Modern Networks and Infrastructure

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.

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Presenter
Drew Golden
Drew Golden
Federos

Guest Speaker
Dr. Stephen Dodson
Dr. Stephen Dodson
Elastic

Moderator
Scott St. John
Scott St. John
Pipeline

Webinar Description:

This webinar explores machine learning and its application to AI-driven operations. It examines specific use cases and demonstrates 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 to learn how they are helping their customers solve their service assurance challenges by unifying management of legacy (physical) infrastructure with a hybrid, software-defined environment. Server virtualization, Software Defined networking (SDN), and Network Function Virtualization (NFV) have added enormous complexity and demands on the operations to identify and restore service to their customers. See how Federos is delivering machine learning capabilities into the Federos Assure1 product to further isolate problems in this increasingly complex environment. A short product demonstration is included.

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Brought to you by:
Federos
Pipeline


Speaker Bios:

Guest Speaker
Dr. Stephen Dodson
Dr. Stephen Dodson
Elastic

Dr. Stephen Dodson is a Distinguished Engineer and Tech Lead, Machine Learning at Elastic. He was previously founder and CTO of Prelert (acquired by Elastic in Sept 2016). Stephen has over 20 years of experience in enterprise systems and software development, and has developed and lead product development of products in IT operations, security and data storage. He holds a PhD in computational methods from Imperial College, London alongside a CES from École Centrale de Lyon. His academic research focused on computation of large scattering problems using integral equation time domain methods.

Presenter
Drew Golden
Drew Golden
Federos

Drew Golden has spent the majority of his career helping network and server operations evolve through each of the technology revolutions. Throughout his career his customers have benefitted from his thoughtful approaches to the transition of change as they took on heavy concepts like QoS/VoIP, datacenter virtualization and consolidation, IT Process Automation, and now carriers as they embrace the Third Network revolution.

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