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S8|E38 The Predictive Internet

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Manage episode 302720720 series 2300880
Cisco Champion Radio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Cisco Champion Radio 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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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263 에피소드

Artwork

S8|E38 The Predictive Internet

Cisco Champion Radio

49 subscribers

published

icon공유
 
Manage episode 302720720 series 2300880
Cisco Champion Radio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Cisco Champion Radio 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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

263 에피소드

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