Adding learning capabilities to the internet will increase the overall network SLO and application experience. Real data driven experiments have shown that such an approach will complement the reactive approach that has governed the internet for the past four decades. Various statistical and ML driven models have shown the possibility to predict future events and take proactive actions for short-term and long-term predictions with high accuracy, avoiding a high number of failures that would significantly impact user experience.

Tune in to this episode to learn more about the path towards a predictive internet and how—coupled with autonomous networks (i.e., self-learning/healing networks)—this approach could be one of the most impactful technologies for the internet.

Learn more: https://ciscotechblog.com/blog/towards-a-predictive-internet/?dtid=opdcsnc001469

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Cisco Champion Hosts:

Dan Kelcher, Sleep Number, Senior Network Engineer

Mark Sibering (twitter.com/netcicd), Devoteam, Principal Architect

Shai Silberman (twitter.com/shaidom), San Jose State University, Director, Network Services

Guest:

JP Vasseur (twitter.com/jpvasseur), Cisco Fellow (VP), Predictive Application Driven Networking at Cisco

Moderator:

Amilee San Juan (twitter.com/amileesan1), Cisco, Customer Voices and Cisco Champion Program