Connected Intelligence: Building Agents with Copilot Studio, AI Builder & AI Search

This workshop explores how to build and extend AI-powered agents using Microsoft Copilot Studio, AI Search, AI Builder and Power Automate to enhance user experiences and automate business processes. Attendees will gain practical insights through live demos, real-world use cases, and integration best practices.

Key Highlights:

-Introduction to Copilot Studio’s low-code/no-code capabilities for AI agent development
-Extending agent intelligence with AI Foundry
-Automating workflows and triggering actions using Power Automate
-Integrating agents with Power Platform, Dataverse, and enterprise systems
-Live demonstration of an AI-powered agent in action
-Best practices and real-world scenarios for deploying AI-driven solutions

Learning Objectives:
1. Develop and Deploy AI Agents – Learn how to design, build, and deploy AI agents using Microsoft Copilot Studio’s low-code/no-code capabilities.
2. Enhance AI Agents with Automation – Understand how to integrate AI Foundry for smarter decision-making and leverage Power Automate flows to automate workflows and trigger actions.
3. Integrate AI Agents with Enterprise Systems – Explore integration techniques with Power Platform, Dataverse, and other data sources to create seamless and efficient AI-driven solutions.

AI on the Ground - Powering Retail Floors, Hotel Lobbies and Stadium Lights

In today’s experience-driven economy, artificial intelligence is no longer a futuristic concept—it’s a practical tool reshaping how industries operate and engage with customers. This talk explores the real-world impact of AI across the dynamic sectors of retail, hospitality, restaurants, sports, and event management. From personalized shopping journeys and smart hotel operations to AI-powered kitchens and immersive fan experiences, we’ll uncover how businesses are leveraging AI to drive efficiency, elevate customer satisfaction, and unlock new revenue streams.

Designed for professionals across disciplines, this session will demystify enterprise AI adoption, highlight success stories, and share actionable insights on how organizations can start small, scale fast, and stay competitive. Whether you're a technologist, strategist, or business leader, join us to discover how applied AI is quietly revolutionizing the industries that shape our everyday lives.

AI Apps: From LLMs to Agentic AI Systems (with Azure)

This session walks attendees through a practical progression of building real-world AI systems:

LLM app foundations (prompting, tool use, reliability basics)
RAG done right (retrieval design, chunking, grounding, citations)
Copilots & dev assistants (how to design assistive workflows and context)
Agents & multi-agent systems (planning, tools, memory, orchestration)
Evaluation & guardrails (hallucination mitigation, safety boundaries, monitoring)

Attendees leave with repeatable patterns and a production checklist they can apply immediately—especially in Azure-centric architectures (Azure OpenAI, Azure AI Search, Functions, App Service/Container Apps, Prompt Flow/eval pipelines, observability).

Audience level: Intermediate
Pre-reqs (Required):
- Comfortable with APIs, JSON, and basic backend concepts (auth, logging, retries).
- Familiarity with LLM basics (tokens, temperature, prompt/response).
- Built at least one small LLM prototype or used an LLM SDK.

Pre-reqs (Helpful):
- Basic understanding of vector search / embeddings.
- Familiarity with Azure (App Service/Functions, Azure OpenAI, Azure AI Search) is helpful but not mandatory.