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DESCRIPTION:As organizations spread workloads across AWS\, Azure\, GCP\, an
 d private clouds\, network orchestration has become one of the hardest par
 ts of multi-cloud operations. Static rules and manual troubleshooting cann
 ot keep up with shifting traffic\, policy requirements\, and failures that
  span multiple providers.\n\nThis talk explores how AI can drive network o
 rchestration in multi-cloud environments—using telemetry\, intent\, and 
 closed-loop automation to optimize routing\, enforce policies\, detect ano
 malies\, and recover from faults. We will discuss a practical architecture
  that connects observability\, AI decisioning\, and programmable network c
 ontrol\, along with real-world challenges such as data quality\, explainab
 ility\, and safe automation.\n\nAttendees will leave with a clear view of 
 where AI adds value in cloud communications networks\, what an AI-driven o
 rchestration pipeline looks like\, and key design principles for building 
 resilient\, adaptive multi-cloud connectivity.\n\nSpeaker(s): \, sudheer\n
 \nAgenda: \nMulti-cloud networking is complex\, dynamic\, and hard to mana
 ge by hand. This talk explores how AI can automate path selection\, policy
  enforcement\, and fault recovery across clouds—improving reliability\, 
 latency\, and cost while keeping communications networks programmable and 
 resilient.\n\nVirtual: https://events.vtools.ieee.org/m/572490
LOCATION:Virtual: https://events.vtools.ieee.org/m/572490
ORGANIZER:SUDHEER.AMGOTH3@GMAIL.COM
SEQUENCE:25
SUMMARY:AI-Driven Network Orchestration Across Multi-Cloud Environments
URL;VALUE=URI:https://events.vtools.ieee.org/m/572490
X-ALT-DESC:Description: <br /><p class="ui-markdown__paragraph ui-vd24qp ui
 -uu7i3w ui-lv6dss ui-j7cesy ui-13faqbe ui-14l7nz5 ui-zboxd6">As organizati
 ons spread workloads across AWS\, Azure\, GCP\, and private clouds\, netwo
 rk orchestration has become one of the hardest parts of multi-cloud operat
 ions. Static rules and manual troubleshooting cannot keep up with shifting
  traffic\, policy requirements\, and failures that span multiple providers
 .</p>\n<p class="ui-markdown__paragraph ui-vd24qp ui-uu7i3w ui-lv6dss ui-j
 7cesy ui-13faqbe ui-14l7nz5 ui-zboxd6">This talk explores how AI can drive
  network orchestration in multi-cloud environments&mdash\;using telemetry\
 , intent\, and closed-loop automation to optimize routing\, enforce polici
 es\, detect anomalies\, and recover from faults. We will discuss a practic
 al architecture that connects observability\, AI decisioning\, and program
 mable network control\, along with real-world challenges such as data qual
 ity\, explainability\, and safe automation.</p>\n<p class="ui-markdown__pa
 ragraph ui-vd24qp ui-uu7i3w ui-lv6dss ui-j7cesy ui-13faqbe ui-14l7nz5 ui-z
 boxd6">Attendees will leave with a clear view of where AI adds value in cl
 oud communications networks\, what an AI-driven orchestration pipeline loo
 ks like\, and key design principles for building resilient\, adaptive mult
 i-cloud connectivity.</p><br /><br />Agenda: <br /><p>Multi-cloud networki
 ng is complex\, dynamic\, and hard to manage by hand. This talk explores h
 ow AI can automate path selection\, policy enforcement\, and fault recover
 y across clouds&mdash\;improving reliability\, latency\, and cost while ke
 eping communications networks programmable and resilient.</p>
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