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LiveAction Applies Machine Learning for Autonomous Network Operations

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by Angela Guess

A new press release reports, “LiveAction, a global leader in IT network management, visualization and analytics software, today announced LiveNX Insight. LiveNX Insight extends LiveAction’s patented LiveNX network performance and analytics platform by applying deep learning to help prevent network problems before they occur while enhancing enterprise security. LiveNX Insight uses machine learning and predictive models to improve network performance management in three ways. First, LiveNX Insight applies deep learning to uncorrelated network metadata in real time. LiveNX Insight continuously learns and applies knowledge based on trends and incorporates the expertise of thousands of network engineers and IT operations professionals. This can include dynamic baselining that enables knowing which voice traffic to prioritize, when to throttle bandwidth, what is normal, and if a user’s access should be blocked.”

The release continues, “Second, it automates recurring routine networking tasks. For example, fault monitoring the status of bandwidth thresholds with respect to Quality of Service (QoS). This boosts IT operational productivity through automation while predictively sharing insight that could affect customer, employee or partners’ experiences. Third, LiveNX Insight enables network operations teams to optimize digital experiences for people and IoT-enabled assets. With LiveNX Insight, network behavior becomes operational intelligence based on activity by users, devices, locations, and applications. Further, network policies can be dynamically adjusted to ensure people and devices have high performing connected experiences.”

Read more at Business Wire.

Photo credit: LiveAction

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