CASCON 2025
Mon 10 - Thu 13 November 2025

Cloud-based microservices are increasingly complex, challenging human reasoning in diagnosing and resolving issues. This session demonstrates how integrating Digital Twins and Large Language Models enables teams to simulate scenarios and mitigate risks. We’ll examine how to harness Generative AI to transform different data streams from real and virtual environments into meaningful insights, reducing cognitive overload. You’ll learn how LLMs synthesize knowledge from graphs of historical states by highlighting critical patterns and accelerating root cause analysis and error propagation mitigation. Join us to discover how these advances deliver deeper system understanding, streamline decision-making, and foster smarter innovation amid operational uncertainty.

Wed 12 Nov

Displayed time zone: Eastern Time (US & Canada) change

13:00 - 14:30
WKS-69: 3rd Workshop on Continuous Operations using Generative AI (Part 1)COGAI at Room 4
13:00
90m
Other
WKS-69: 3rd Workshop on Continuous Operations using Generative AI (Part 1)
COGAI

13:00
15m
Talk
Workshop Introduction
COGAI
Ian Watts IBM Canada, Hausi Müller University of Victoria, Marin Litoiu York University, Canada
13:15
25m
Talk
State of the Art Gen AI Remediation in CP4AIOps for Cloud-Native Applications
COGAI
Marin Litoiu York University, Canada, Komal Sarda York University, Amr M. Zaki York University
13:40
25m
Talk
Reinventing Observability: AI-Driven Insights with Digital Twins and Large Language Models
COGAI
Ian Watts IBM Canada, Hausi Müller University of Victoria, Felipe Rivera University of Victoria
14:05
25m
Talk
TBD
COGAI
Gabriel Tamura Universidad Icesi