How to Use Predictive Modeling to Produce Self-Healing Networks
On-Demand Webinar (44 min)
With Sridhar Iyer, Senior Architect
Corporate networks are becoming increasingly complex as their traffic sources rapidly expand. Many enterprise-level companies and organizations continue to add new branch locations, remote users due to the COVID-19 pandemic, and a plethora of new business applications. This increase in network activity and complexity often causes connectivity issues and problems with application performance.
Join Sridhar Iyer, Senior Architect at Versa Networks, as he explains how predictive networking based on machine learning and artificial intelligence can produce self-healing networks. Sridhar will explain how predictive networks can better optimize network performance through a proactive approach rather than a reactive approach which identifies network traffic bottlenecks before they happen.
In this webinar, you will learn:
- How to leverage machine learning and AI to build predictive models to optimize your company’s network traffic
- How to establish proper service-level agreements for different segments of network traffic to enable best path selection
- How to create proactive notifications and advanced debugging capabilities to reduce the workload on your support teams