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Smarter Observability with AIOps, Generative AI, and Machine Learning: Insights from Elastic and Google Cloud

Presented by

David Hope - Director of Observability and AI Solutions, Elastic and Yang Li - Staff Solutions Architect, Google Cloud

About this talk

The impact of cloud-native technologies has created challenges around managing the volume, complexity, and pace of change in applications for SREs and operations teams. The emergence of AIOps to help deal with this complexity is a real solution to these real challenges. Take a tour through the world of AIOps for observability in this playbook! We’ll help you understand why AIOps is needed today and how it all works, from machine learning to generative AI (GAI), retrieval augmented generation (RAG) and AI assistants. Get an overview of the most common use cases for AIOps, examples of real results beyond the hype, and how to get buy-in from your organization. We'll then wrap things up with a look into the future of AIOps. Walk away better prepared for a future of AI-powered observability with the latest insights on how emerging technologies will help.
Elastic

Elastic

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