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CREATED:20261022T111141Z
DESCRIPTION:Please note this session is by invitation only. Submit your int
 erest in attending.As CSPs transition from basic rule-based automation to 
 AI-driven network autonomy\, the industry stands between immediate operati
 onal realities and fully self-healing futures.Join us for an interactive\,
  two-part session on autonomous networks. We will kick off with an open\, 
 candid panel discussion exploring the ongoing joint innovation between Red
  Hat and major Network Equipment Providers (NEPs)\, highlighting how cloud
 -native infrastructure\, open architectures\, and ecosystem integration ar
 e accelerating the path to autonomy.Then\, it is time to roll up your slee
 ves. Attendees will break into working groups to tackle the "Now." Through
  collaborative table exercises\, teams will brainstorm concrete\, actionab
 le use cases bridging the gap between human-in-the-loop assistance and zer
 o-touch closed loops.Key takeaways: Actionable Use Cases: Walk away with p
 eer-validated\, deployable use cases for immediate automation wins.Ecosyst
 em Strategy: Understand how open\, cloud-native architectures are standard
 izing the path to autonomy.Industry Standards: Discuss what infrastructure
 \, architecture (like TM Forum ODA)\, and data standards are required to s
 cale.Now vs. Future: Achieved L4 and above\, and what is actually working 
 in practice.Bridging the Gap: Human-in-the-loop assistance and zero-touch 
 "Zero-X" closed loops. Moderator: Fabrizio Fiori\, Senior Director\, Ameri
 cas Telco CoE\, Red Hat Panelists: Sachin Rathee\, AI Sales Specialist - T
 elco\, Red Hat David Kypuros\, Principal AI Architect - Global Telco Partn
 er Solutions\, Red HatPuneet Marhatha\, Director \,Solution Architecture (
 TME-CoE)\, Red Hat
DTEND:20261007T144500Z
DTSTAMP:20261022T111141Z
DTSTART:20261007T133000Z
LAST-MODIFIED:20261022T111141Z
LOCATION:Moonlight 1
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:(Innovate Americas 2026) AN Workshop: The now vs. tomorrow of auton
 omous networks 
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