Microsoft Reactor

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Topic 1: What we could automate: Architecture Designs, and why?
Whether at the beginning or after construction, updating reference architecture can take time based on number of iterations/changes needed. What if we could speed that up?

Speaker: Shahrad Alerasoul: Azure Infrastructure Architect With a combined 2 decades of exposure in cloud infrastructure and virtual desktop. Back in my day, Cloud still meant grey-sky only and you needed Windows to see Azure, proud to be a Azure Veteran!

Topic 2: Empowering Data Conversations: Building Multi-Agent AI Assistants with Microsoft Fabric and Azure AI
What if your data could talk back—contextually, intelligently, and instantly? In this session, we explore how to bring that vision to life by building an AI-powered assistant in Microsoft Fabric that understands your data and responds in natural language.
You'll learn how to orchestrate powerful interactions between Microsoft Fabric Data Agents, Azure OpenAI, and the Azure AI Agent service to create a multi-agent AI system that collaborates to answer complex queries, automate workflows, and surface actionable insights—right from your Fabric workspace.

Key Takeaways:
Enhance data interactions using Microsoft Fabric Data Agents
Use Azure OpenAI Service for contextual language understanding
Leverage the Azure AI Agent service to coordinate multi-agent reasoning
Deploy a conversational assistant that adapts to evolving business needs
Hands-on Demo:
See how a Fabric Data Agent and Azure AI Agent work together to dynamically respond to user questions using real Fabric data.
By the end of this session, you’ll walk away with a working prototype of a multi-agent AI assistant and the blueprint to extend it across your enterprise data landscape.
Unlock a new era of intelligent data interaction—powered by Fabric, guided by AI.

Speaker: Rajaniesh Kaushikk
Microsoft MVP
Databricks MVP
Databricks Champion

Topic 3: Build a RAG Agent with Azure AI Search
Discover how to supercharge your AI apps with Retrieval-Augmented Generation (RAG) using Azure AI Search. In this session, I'll show you how to build intelligent agents that combine the power of large language models with enterprise-grade search to deliver accurate, contextual, real-time answers from your data.
Speaker: Cihan Cinar, Software & AI Architect | Technical Lead
I am a Software Architect passionate about designing innovative solutions and exploring cutting-edge technologies. I have extensive experience working with multiple cloud providers and pioneering new ways to develop and deploy applications. My recent focus has been on Generative AI, integrating intelligent solutions into projects to solve real-world challenges.
I enjoy sharing knowledge through university courses, technical training sessions, and participating in web conferences. Staying connected with the latest trends in architecture and AI inspires me to push boundaries and embrace global perspectives.