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UID:pretalx-bnog-2026-MQNBVF@pretalx.balticnog.org
DTSTART;TZID=EET:20260923T163000
DTEND;TZID=EET:20260923T165500
DESCRIPTION:Today's networks are highly virtualized large distributed syste
 ms. With network observability we monitor holistically by incorporating al
 l 3 network planes and their dependencies. For AIOps we require network da
 ta done right. Data taxonomy\, schema and semantics being preserved and re
 ady in real-time at the Data Mesh.\n\nIn this session I describe the relev
 ance and differences between IPFIX\, BMP and YANG-Push and its integration
  into Message Brokers for next generation Network Analytics applications a
 nd the differences between Data Lake and Data Mesh.\n\nI demonstrate with 
 a real-life Network Incident Postmortem how Network Anomaly Detection is a
 pplied at Swisscom and show how symptom ontology is derived\, where Knowle
 dge Graphs will help us to obtain a statistical view\, and why we intend t
 o automate the incident and problem process by leveraging AI capabilities.
 \n\nFurther\, I will venture into the importance of network vendor\, opera
 tor and academia collaboration in innovation and standards\, and outline c
 urrent innovation activities at the IETF NMOP working group.
DTSTAMP:20260920T202525Z
LOCATION:ROOM ALFA
SUMMARY:How IETF and Swisscom transforms Network Operation in the age of AI
  - Thomas Graf
URL:https://pretalx.balticnog.org/bnog-2026/talk/MQNBVF/
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