Uploaded August 2026 | Updated September 2026, 2 weeks ago
In this practical technical session, you will learn how to build an intelligent Recruiter AI agent that automates resource enquiries using Microsoft Outlook, SharePoint, and Microsoft Teams.
The Recruiter AI agent will process incoming resource requirement emails, understand the recruiter’s request, securely search resumes stored in a SharePoint knowledge base, identify suitable candidates, compose a contextual email response, and schedule a Microsoft Teams meeting with the sender.
**During the session, you will learn how to:**
• Trigger the Recruiter AI agent when a resource enquiry is received in Outlook.
• Extract job requirements, skills, experience, and other relevant information from incoming emails.
• Create contextual prompts based on the recruiter’s requirements.
• Configure a SharePoint folder containing resumes as the agent’s knowledge base.
• Search and retrieve relevant candidate profiles from SharePoint.
• Connect knowledge sources and external tools with an AI agent.
• Manage the complete workflow from email receipt to candidate recommendation.
• Apply access control, data security, governance, error handling, and human approval to recruitment workflows.
The session will also include an end-to-end demonstration in which the Recruiter AI agent receives a resource enquiry, searches the SharePoint resume repository, selects relevant candidate profiles, sends a response to the requester, and books a follow-up meeting in Microsoft Teams.
By the end of the session, participants will understand the complete architecture and implementation approach for building an enterprise-ready Recruiter AI agent that connects organizational knowledge with email and meeting-management tools.
[event ID:27535]
In this practical technical session, you will learn how to build an intelligent Recruiter AI agent that automates resource enquiries using Microsoft Outlook, SharePoint, and Microsoft Teams.
The Recruiter AI agent will process incoming resource requirement emails, understand the recruiter’s request, securely search resumes stored in a SharePoint knowledge base, identify suitable candidates, compose a contextual email response, and schedule a Microsoft Teams meeting with the sender.
**During the session, you will learn how to:**
• Trigger the Recruiter AI agent when a resource enquiry is received in Outlook.
• Extract job requirements, skills, experience, and other relevant information from incoming emails.
• Create contextual prompts based on the recruiter’s requirements.
• Configure a SharePoint folder containing resumes as the agent’s knowledge base.
• Search and retrieve relevant candidate profiles from SharePoint.
• Connect knowledge sources and external tools with an AI agent.
• Manage the complete workflow from email receipt to candidate recommendation.
• Apply access control, data security, governance, error handling, and human approval to recruitment workflows.
The session will also include an end-to-end demonstration in which the Recruiter AI agent receives a resource enquiry, searches the SharePoint resume repository, selects relevant candidate profiles, sends a response to the requester, and books a follow-up meeting in Microsoft Teams.
By the end of the session, participants will understand the complete architecture and implementation approach for building an enterprise-ready Recruiter AI agent that connects organizational knowledge with email and meeting-management tools.
[event ID:27535]
![Inside the Mind of a Dataviz World Champion
What does a Dataviz World Champion actually do differently? It’s not just design skills. It’s how they think, how they spot the story, and how they turn data into something people feel. Join recent finalists Santhana Lakshmi Ponnurasan and Michał Jezik as they break down how they approach dashboards from the first spark of an idea to the final polished result.
Real examples, real decisions, real insight. Come see how champions think—and walk away inspired to level up your own work.
📍This session is a part of a series. Learn more here:
https://aka.ms/datadayslive/viz
#MSFTReactor #dataviz #learnconnectbuild
[eventid:27363] Inside the Mind of a Dataviz World Champion](https://i.ytimg.com/vi/FXQHDVfl5ek/mqdefault.jpg)
![De “tô só começando” para “caramba, eu fiz isso”
Acha que contest é só pra quem já manda muito? Nada disso. Esse é o seu ponto de partida.
Nessa sessão, a gente vai mostrar como contests mais acessíveis podem ser uma das formas mais rápidas e divertidas de aprender Microsoft Fabric, Power BI, SQL e AI. Sem precisar de horas e horas, sem pressão de fazer perfeito. São desafios pequenos, práticos, que te colocam pra construir, testar coisas novas e evoluir quase sem perceber. Você vai sair do “tô só começando” pra “opa, olha isso aqui que eu fiz”.
E melhor ainda, você não vai fazer isso sozinho. A ideia é aprender junto, pegar inspiração no que outras pessoas estão criando e evoluir em comunidade. Chega, testa, brinca com as ideias e vê no que dá. No pior cenário, você aprende algo novo. No melhor… você se surpreende.
🔗Saiba mais sobre o Campeonato Mundial: https://aka.ms/nextworldchamps
🔗Inscreva-se no Data Days: https://aka.ms/datadays
0:05 - Introdução e boas-vindas
0:53 - Apresentação dos convidados: Dirceu Rezende e Hugo Venturini
4:48 - O que é o Data Days 2026
7:20 - Como obter a certificação Fabric gratuitamente
10:53 - Grupos de estudo e comunidades
12:18 - Feedback de produtos (User Panels)
13:35 - Cronograma das próximas lives (DP-800 e IA no SQL)
15:36 - Por que participar de concursos de Data Viz
22:40 - A importância da comunidade internacional
26:23 - Quebrando mitos sobre concursos de tecnologia
36:57 - Como concursos aceleram o seu aprendizado
51:20 - O ciclo de crescimento de um criador
55:13 - Dicas para uma inscrição vencedora em Data Viz
58:26 - Orientações para iniciantes
1:01:31 - Depoimento do campeão mundial Paulo Grijó
#microsoftreactor #learnconnectbuild #datadays
[eventID: 27378] De “tô só começando” para “caramba, eu fiz isso”](https://i.ytimg.com/vi/FactowzAc1s/mqdefault.jpg)
![Introdução ao Agentic Dev com Spec-Driven no VS Code
Introdução aos fundamentos de agentic development no Visual Studio Code com GitHub Copilot.
Nesta sessão, você irá definir o comportamento de agentes usando AGENTS.md e comparar interações baseadas em prompts com abordagens estruturadas. Implementação do primeiro setup orientado por especificação.
📌 Este evento faz parte de uma série, saiba mais aqui: https://aka.ms/AgenticDevVSCode
🔗 https://aka.ms/AgenticDevSeries/Resource
[eventID:27387] Introdução ao Agentic Dev com Spec-Driven no VS Code](https://i.ytimg.com/vi/G3PspHndPiQ/mqdefault.jpg)
![Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action
Fabric Runtime 2.0 is a major leap forward for running Spark at scale in Microsoft Fabric.
Join members of the Microsoft product team for a deep dive into what’s new and what it means for you. You will get a clear look at the biggest innovations in Spark 4 and Delta 4, along with the Microsoft enhancements that drive better performance, reliability, and developer productivity.
This is your chance to learn directly from the people building the platform and understand how to take advantage of these changes in real-world workloads.
🔗 Register for Data Days: https://aka.ms/datadays
📍 This session is a part of a series, learn more here: https://aka.ms/DataDayslive/spark-y
0:00 Welcome & Session Introduction
2:25 Meet the Speakers & Fabric Runtime 2.0 Overview
5:14 Agenda: Spark 4, Delta Lake & Native Execution Engine
6:08 Apache Spark 4: SQL Enhancements
12:35 Real-Time Streaming in Spark 4
17:17 Observability & Monitoring Improvements
18:58 Delta Lake 4 Overview
20:15 Type Widening & Schema Evolution
23:58 Variant Data Type for Semi-Structured Data
25:55 Identity Columns in Delta Lake
27:30 Table Layout, File Skipping & Performance
33:39 Adaptive File Sizing & Intelligent Optimization
35:01 Liquid Clustering & Auto Reclustering
40:20 Auto Compaction, Vacuum & Performance Features
42:10 Deletion Vectors & Snapshot Acceleration
44:18 Native Execution Engine Architecture
47:03 Enabling Native Execution Engine
49:55 Gluten, Velox & Query Optimization
53:35 Runtime 2.0 Native Engine Enhancements
58:36 Best Practices for Native Execution Engine
1:00:37 Anti-Patterns & Migration Guidance
1:02:42 Q&A Session
1:10:18 Feedback & Closing Remarks
#MSFTReactor #learnconnectbuild
[eventID:27281] Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action](https://i.ytimg.com/vi/Gcyk_eJACPA/mqdefault.jpg)
![DAX agéntico: valida, genera y optimiza medidas con agentes de IA
El DAX siempre ha sido la barrera de entrada a Power BI para muchos profesionales.
En esta sesión veremos cómo los agentes conectados al Remote MCP Server usan el mismo motor de generación DAX que Copilot para Power BI, y cómo el Local MCP permite validar y ejecutar consultas DAX directamente contra el modelo para testear medidas, depurar cálculos y explorar datos sin salir del agente.
Exploraremos prompts avanzados para generar medidas complejas, patrones de inteligencia de tiempo, cálculos condicionales y medidas de tabla, y veremos los límites actuales — qué tipos de DAX generan bien los agentes y dónde todavía hay que revisar.
También cubriremos cómo optimizar el modelo semántico para mejorar la calidad de generación DAX por parte del agente, y cómo combinar Local y Remote MCP en el mismo flujo de trabajo.
DAX agéntico: valida, genera y optimiza medidas con agentes de IA: https://learn.microsoft.com/power-bi/developer/mcp/remote-mcp-server-tools/?wt.mc_id=youtube_27343_organicsocial_reactor
📌 Este evento es parte de una serie, aprende más aquí: https://aka.ms/PBIMCP
0:00:04 - Introducción y contexto de la serie
0:06:36 - Instalación de Skills de Microsoft para Fabric
0:15:56 - Configuración de rutas y variables en PowerShell
0:28:02 - Arquitectura de las Skills y archivos .MD
0:37:01 - Formas de invocar habilidades (Explícito, Automático, Persistente)
0:43:21 - Creación y configuración del archivo agents.md
0:57:04 - Demostración: Creación de relaciones con IA
1:07:43 - Conclusiones y cierre de la sesión
[eventID:27343] DAX agéntico: valida, genera y optimiza medidas con agentes de IA](https://i.ytimg.com/vi/GdbnFoOOWWk/mqdefault.jpg)

![MCP Apps: Bringing Interactive UI to Microsoft 365 Copilot
Go beyond chat by connecting MCP Apps to Declarative Agents and delivering rich, interactive experiences directly inside Microsoft 365 Copilot.
Hear from the product team and see how custom user interfaces can turn agent responses into actionable workflows.
🔗 Copilot Developer Camp: https://aka.ms/copilotdevcamp
📍 Learn more about the series:https://aka.ms/MS365/CopilotPlaybook/r
#MSFTReactor #learnconnectbuild #MCP #developeragent #Copilot #AI
[eventID:27451] MCP Apps: Bringing Interactive UI to Microsoft 365 Copilot](https://i.ytimg.com/vi/Gvp6yQFVySw/mqdefault.jpg)

![Modernize your .NET applications in days using GitHub Copilot
Modernizing apps isn’t just rewriting code—it’s untangling dependencies, tracing data flows, and making changes without breaking production.
In this session, we’ll show how you can use agentic AI to take on the hardest parts of modernization: analyzing large codebases, mapping dependencies, planning upgrades, refactoring safely, while doing it all at scale.
With the GitHub Copilot modernization agent, you can move from legacy complexity to modernized apps in days, not months.
📍 .NET Modernization for Beginners: https://aka.ms/GH.Net/modforbeg/reactor
📍 This session is a part of a series. Learn more here: https://aka.ms/ModFast-GHCP/r
00:00 Welcome & Session Overview
01:54 Why Modernizing .NET Applications Matters
05:48 The Biggest Challenges in Application Modernization
10:16 GitHub Copilot Modernization Agent Explained
13:36 The Modernization Workflow: Assess, Plan, Execute, Deploy
16:43 Live Demo: Modernizing a .NET Framework 4.8 Application
18:53 Assessment Phase & Reviewing Modernization Recommendations
26:32 Planning the Upgrade to .NET 10
34:37 Executing the Migration with GitHub Copilot
01:14:09 Modernization Complete: Running the App on .NET 10
#MSFTReactor #learnconnectbuild #.NET #Java #appmodernization #agenticmodernization #developertools #developerproductivity #legacyapplications
[eventID:27412] Modernize your .NET applications in days using GitHub Copilot](https://i.ytimg.com/vi/HDT-TUJ1XUY/mqdefault.jpg)
![Grounding Agents in Business Context with Fabric IQ
Learn how to connect agents to business data, metrics, and operational context with Fabric IQ. In this session, well explore how agents can use structured business knowledge to better understand entities, relationships, and processes across your organization.
Youll see how grounding agents in business context enables more accurate, relevant, and actionable responses.
🔗 Resources: https://aka.ms/iq-series
📌 This event is a part of a series, learn more here: https://aka.ms/microsoftiqlive
#MSFTReactor #learnconnectbuild #foundryiq #serverless #knowledgebases #agentdevelopment #retrieval #datagrounding #azureaifoundry #enterpriseknowledge
[eventID:27455] Grounding Agents in Business Context with Fabric IQ](https://i.ytimg.com/vi/HNIx_Z0U8QA/mqdefault.jpg)

[eventid:27489] Creating Custom Code Execution Engine Sandboxes For Your Loops And Harnesses](https://i.ytimg.com/vi/HWzwqQy8TYE/mqdefault.jpg)