Arno will explore the evolution of search technology in the age of AI. From large language models and “LLM Wars” to enterprise-scale challenges in observability and security, he’ll share practical insights on how Elastic customers are experimenting with AI, what works today, and why the answer often depends on context.

Join this session to see how Microsoft and Elastic are partnering to deliver secure, AI-powered solutions for regulated industries. You’ll learn how to combine Elastic’s new Serverless offering on Azure with Microsoft’s Agent Framework to build intelligent, conversational experiences over embedded document data. We’ll walk through a real-world-inspired demo that shows how to ingest and semantically search sensitive documents using Elastic’s vector search and OneChat capabilities—then expose that functionality through Microsoft Teams using a custom-built Agent. The solution is enhanced with Microsoft’s Trustworthy AI capabilities to ensure responses are safe, secure, and compliant—all within a fully Azure-native environment.

Gigamon collecte le trafic des Datacenters des Cloud privé (VMWare, OpenStack…) et Public (AWS, Azure…) et en extrait la donnée utile sous forme de metadata pour alimenter Elastic. L’idée est de pouvoir disposer d’éléments tangibles pour détecter des menaces (port spoofing, machines non légitimes, certificats auto-signés, algorithmes de chiffrement ou protocoles réputés faible…) et améliorer la réponse à incident applicatif (temps de réponse serveur, réseau, pertes de paquets…) à partir des infrastructures réseaux. Gigamon se base sur un moteur DPI, capable de reconnaître plus de 3500 applications et protocoles et peut générer jusqu’à 7 000 metadatas.

Advanced Observability in Azure: Leveraging Elastic and OpenTelemetry for AI Application Monitoring

This talk will guide you through the initial steps of integrating LM Studio with Elastic. We'll discuss how to establish a connection to LM Studio using a connector, conduct tests, and begin developing an RAG application in Python.

Is you thought OTel was just for backend services and Kubernetes pods, think again. Join Carly as she walks through the state of Client Instrumentation for OpenTelemetry, how to propagate UI and backend signals, and how to find bottlenecks using Elastic.