5:00 ÖS - 6:00 ÖS (UTC)

Azure AI Agent Service permite crear software semi-autónomo al que se le puede asignar un objetivo y que trabajará para lograrlo sin que se sepa de antemano cómo lo hará ni qué pasos seguirá. Es una herramienta potente para automatizar tareas y procesos demasiado complejos para automatizarlos fácilmente con software tradicional. En esta sesión exploraremos la construcción de un agente que le ayudará a completar varias tareas, basado en las capacidades que se van añadiendo poco a poco. Obtenga más información y desarrolle sus habilidades con esta colección gratuita de módulos de Microsoft Learn https://aka.ms/12MayoAIAgentServiciosLearn1

6:00 ÖÖ - 7:00 ÖÖ (UTC)

Ready to build and deploy your first AI-powered agent? In this session, you’ll learn how to leverage the Azure AI Agent Service and Chainlit to create and deploy a code-first agent. We’ll guide you through the process of setting up your agent, from start to finish, and show you how to seamlessly integrate it into your applications. Whether you’re a developer looking to dive into AI or wanting to enhance your app with intelligent capabilities, this session will give you the tools and insights to bring your code-first app to life with Azure AI.

5:30 ÖÖ - 6:30 ÖÖ (UTC)

In this session, we will explore the development of three types of intelligent agents—Retrieval Agents, Task Agents, and Autonomous Agents—tailored for a simple insurance use case. Using Copilot Studio, you will learn how to implement these agents to automate processes, improve efficiency, and enhance user experience in an insurance context. We'll walk through real-world scenarios, such as claim processing, policy recommendations, and customer support, to demonstrate how each agent type can be leveraged for various tasks. The session will focus on: Building Agents like retrieval agent, task agent and autonomous agent. What will the attendees learn from this session? Understanding the core differences between Retrieval, Task, and Autonomous Agents. Building and deploying a Retrieval Agent for fetching relevant data. Creating a Task Agent to handle insurance-specific processes, such as claim handling or policy generation. Developing an Autonomous Agent capable of decision-making and end-to-end automation in an insurance workflow. Gaining hands-on experience with Copilot Studio to create and manage these agents effectively. Practical insights into applying these agents to improve operational efficiency and customer experience in the insurance industry. Learn Module - https://aka.ms/Create-Copilot

3:00 ÖS - 4:00 ÖS (UTC)

About this session: In this transformative session, we’ll peel back the layers of complex agent architectures and demystify every intricate detail. Conversational assistants, agentic systems, agents, and RAGs, by the end of our time together, none of these terms will hold any secrets for you. Step into a world where clarity meets innovation, and leave empowered with the insights and confidence to create your very own agent. Who is it aimed at? This session is aimed at tech leaders exploring enterprise AI solutions, AI and cloud architects working with Azure, product managers shaping AI assistant experiences, and developers building AI-powered applications. Whether you're looking to implement AI at scale or enhance your current solutions, this session provides valuable insights and practical knowledge. Why should I attend? To finally make sense of agents, RAGs, and conversational systems; clear, practical insights that empower you to build your own with confidence. Learn more and develop your skills: https://aka.ms/May21AzureAIServicesOpenAI1 https://aka.ms/May21AIFoundryConceptsRAG1 Repositories https://github.com/cihancinar/nextjs-azure-ai-starter https://github.com/Azure-Samples/ https://github.com/Azure/GPT-RAG