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S8|E38: The Predictive Internet

 
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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 Follow us: twitter.com/CiscoChampion 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
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Manage episode 302723821 series 2851156
Inhoud geleverd door commsninja. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door commsninja of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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 Follow us: twitter.com/CiscoChampion 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
  continue reading

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