Is AIOps the Future of IT Operations? Real Use Cases from the Trenches

This session presents real-world AIOps use cases at Adobe, demonstrating how AI and automation—including LLMs and agents—can streamline issue diagnosis, automate on-call tasks, and drive continuous improvement. Attendees will gain practical insights into leveraging AIOps for organizational transformation and reduced manual effort.

Iveri PrangishviliAdobe

Danilo BanjacAdobe

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Thursday, October 9, 17:40-18:30

Room 4

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AIOps isn't just a buzzword; it's a fundamental shift in how we manage the complex systems that power modern digital businesses. It provides the intelligence and automation required to manage the dynamic and complex systems that underpin modern digital businesses.

This session will showcase concrete use cases and lessons learned at Adobe. We will cover some of them, including:

Using AIOps to drive continuous improvement and innovation
Harnessing the power of LLMs to diagnose issues and reduce human effort
Building AI agents to automate tasks ie. during on-call to reduce MTTR

Attendees will leave with a clear understanding of how AIOps can help their organizations achieve their transformation and automation goals based on real use cases.

aiops

agents

llms

automation

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Iveri Prangishvili

Adobe

Switzerland

Iveri Prangishvili is a Software Engineer at Adobe, specializing in cloud infrastructure, automation and continuous delivery. Iveri has been involved in the design and implementation of a number of Kubernetes operators, continuous delivery workflows and observability stack powering the Adobe Experience Manager.

Danilo Banjac

Adobe

Switzerland

My name is Danilo, and I’m a Software Development Engineer at Adobe. I work in the AIOps domain, applying the latest large language model (LLM) technologies to improve operational workflows. I’m building an agent marketplace that lets teams onboard agents in a few steps, attach tools, and add knowledge declaratively using YAML configurations and simple Python functions.

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