Microsoft 365 Users Group of Nashville & Knoxville

Nashville Microsoft Community Day

Fri, Sep 11 · 8:00 AM CDT

Nelson Andrews Leadership Lodge, 3088 Smith Springs Rd,, Antioch, TN, US

👉 USE THIS LINK TO REGISTER!

NASHVILLE MICROSOFT COMMUNITY DAY

📆 Check out the lineup of amazing speakers!
Community Days | Nashville Microsoft Community Day

📢Join us for a full day of sessions and learning!

(Use the link provided above to register)
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## 🎮 Xbox Series S Giveaway! 🎮

Win a brand-new Xbox Series S console + wireless controller at the Nashville Microsoft Community Day on September 11, 2026!
How to enter:

• Invite friends and colleagues to register on this site
• Ask them to enter your full name in the “How did you hear about us?” field (no self-referrals)
• Each person who registers with your name and attends the event = 1 entry for you

Quick Rules:

• Confirm with your employer that you are eligible to win prizes before referring others.
• Winner must be present at the end of the day to claim the prize and take it with them (no shipping).
• You and each of the referrals must attend the event

The more successful referrals you bring, the better your chances!
Full giveaway details and rules: Xbox Series S Giveaway – Nashville Microsoft Community Day 2026 - Tennessee Community Days

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📅 Friday, September 11, 2026 📅
🕜 9:00 am @ Data, Power BI, Fabric
⭐️ 30 POWER BI TIPS AND TRICKS
This session offers 30 tips and tricks born from years of working with Power BI in the trenches and teaching Power BI to others. We’ll cover many facets of Power BI including DAX, Power Query, visualization, external tools, and more! These tips aim to be practical and useful to Power BI users of all skill levels so that you can take them back to work and level up your Power BI solutions.
🙂 Michael Hewitt

🕜 9:00 am @ M365, Intranet
⭐️ MICROSOFT PLANNER: A CRASH COURSE
Are you looking for a simple way to keep your work organized?
Join this beginner‑friendly intro to Microsoft Planner and learn how to manage tasks and small projects without complicated tools or steep learning curves.
In less than an hour, you’ll see how Planner helps you stay on top of work, collaborate with others, and get clear when you’re completing team projects or everyday tasks.
This session is designed for anyone who wants to reduce overwhelm and start working smarter with Microsoft 365.
🙂 O Leonard

🕜 9:00 am @ Power Platform, Copilot Studio
⭐️ AUTOMATING STANDARD BUSINESS PROCESSES USING POWER AUTOMATE, TEAMS AND DYNAMICS 365
In this session, I will show three common use cases for automation inside standard business processes, using Microsoft Teams, Power Automate and Dynamics 365. I will also explain how these use cases can be translated to connect to other accounting and ERP systems using PA along with additional steps you can utilize with SharePoint as well.
🙂 Shannon Mullins

🕜 9:00 am @ Azure AI, Agents, Governance
⭐️ SECURING YOUR TENANT WITH MICROSOFT ZERO DAY EVALUATION
This session will assist you in using Microsoft's Zero Day Evaluation. This way you can prepare your M365 tenant with the latest in best practice.
🙂 Kevin O'Bryan

🕜 10:00 am @ Data, Power BI, Fabric
⭐️ DATA ON FIRE: A HANDS-ON INTRO TO SPARK IN FABRIC
Curious about Apache Spark but not sure where to start? This hands-on session introduces you to Spark in Microsoft Fabric Notebooks—a powerful and accessible way to process and analyze big data using familiar tools in the Microsoft ecosystem.
We’ll break down key Spark concepts like distributed computing, DataFrames, and lazy evaluation, then show how they come to life inside Fabric’s notebook experience. You’ll see practical demos that cover loading, transforming, and analyzing large datasets—while leveraging Fabric’s modern data stack, including OneLake, Dataflows, and Pipelines.
You’ll also learn how to choose between Spark and pure Python notebooks in Fabric, based on execution needs, data integration, and use case fit.
Whether you're a SQL pro, BI developer, or data engineer, this session will give you the tools and confidence to start using Spark in your own projects—no cluster management required.
🙂 Jason Romans

🕜 10:00 am @ M365, Intranet
⭐️ BEYOND THE HYPE: BUILDING AN AI‑READY ORGANIZATION WITH SHAREPOINT AND COPILOT CREATE
AI promises transformation, but organizations only see results when people actually change how they work. This session explores what it takes to build an AI‑ready culture using Microsoft 365 as your foundation. We’ll break down the strategic pillars of successful AI adoption, from leadership alignment to communication patterns that reduce fear and increase trust.
You’ll see how SharePoint becomes the backbone of your AI knowledge ecosystem, how Copilot Create can rapidly produce tailored training videos that reinforce consistent messaging, and how to design adoption experiences that meet employees where they are.
Whether you’re leading a rollout or shaping your organization’s AI strategy, you’ll walk away with practical frameworks, examples, and tools to turn AI excitement into everyday impact.
🙂 Kristen B. Hubler

🕜 10:00 am @ Power Platform, Copilot Studio
⭐️ HOW COPILOT CUTS APP AND FLOW BUILD TIME IN HALF
Building from scratch takes time most projects do not have. This session shows how Copilot generates a working canvas app from a plain-language prompt, creates Power Automate flows from a description, and writes expressions that used to take 20 minutes to debug. You will see the full cycle from prompt to tested output, with clear markers on where you still need to review before deploying.
🙂 Milan Parikh, Manoj Annavajjala

🕜 10:00 am @ Azure AI, Agents, Governance
⭐️ THE CISO'S PLAYBOOK: OPERATIONALIZING MICROSOFT'S SECURITY & COMPLIANCE STACK
A CISO-level view of how Microsoft Purview, Intune, Defender, Copilot for Security, Sentinel, and Compliance AI work together as a unified risk and threat management platform and how to make the case for using what you already own before buying something new.
As a CISO, you're not just managing tools, you're managing risk, board expectations, regulatory pressure, and a security team that's perpetually understaffed and overwhelmed. The question isn't whether Microsoft has the capabilities. The question is: are you actually operationalizing them?
This session is built for security leaders and the teams that execute their vision. We'll look at Microsoft's security and compliance portfolio through a risk management lens.
🙂 Conrad Bell

🕜 11:00 am @ Data, Power BI, Fabric
⭐️ I CAN TELL AI BUILT YOUR DASHBOARD (AND THAT'S A PROBLEM)
AI tools like Copilot, ChatGPT, and Claude can spin up a dashboard in seconds, and the results are starting to look like it. Default layouts, misused chart types, color palettes that look borrowed from a stock template. Experienced analysts can spot an AI-generated dashboard from across the room, and so can your stakeholders, even if they can't name why it feels off.
This is not an anti-AI talk. It's a call to raise the bar.
In this session, we'll break down the telltale signs of an AI-generated dashboard and, more importantly, why those patterns fail your audience. You'll leave with a sharper eye for design, a practical checklist for evaluating any visual before it goes live, and a clearer sense of what separates a dashboard that drives decisions from one that just displays data.
🙂 Sekou Tyler

🕜 11:00 am @ M365, Intranet
⭐️ PLANNING YOUR SENSITIVITY LABELS FOR COPILOT READINESS
Sensitivity labels are a critical foundation for Microsoft Copilot—and getting them wrong can create real risk.
In this session, you’ll see how Microsoft Purview Sensitivity Labels work and why they matter for protecting information across Microsoft 365. Through live demonstrations and interactive discussion, you’ll learn how to identify what data is truly sensitive in your organization and how to plan labels that align with business needs, compliance requirements, and user behavior.
Rather than diving deep into technical configuration, this session focuses on practical planning—helping you define the right labels before implementation so they support productivity instead of slowing it down.
Perfect for business leaders, compliance teams, and administrators preparing for Copilot, this session will leave you with a clear approach to designing sensitivity labels that enable secure, responsible AI adoption.
🙂 Karen Dredske

🕜 11:00 am @ Power Platform, Copilot Studio
⭐️ BUILDING AN AUTONOMOUS AI PROJECT MANAGER: PROACTIVE INTELLIGENCE WITH COPILOT STUDIO
Transform your organization's project management by building an autonomous AI agent using Microsoft Copilot Studio, no coding experience required! Create a conversational project assistant that answers questions through natural language, then extend it with Power Automate flows to add autonomous capabilities like scheduled monitoring and proactive notifications.
Join us for a live demonstration where we'll build a complete autonomous AI Project Manager that doesn't just respond to questions, it actively manages your projects. Watch as we develop an automation workflow that continuously monitors Microsoft Planner and keeps your team on track.
🙂 Diego Torres

🕜 11:00 am @ Azure AI, Agents, Governance
⭐️ YOU BUILT AUTONOMOUS SYSTEMS. WHO BUILT THE EXIT RAMP?
Every autonomous system eventually encounters a decision it was never designed to make.
The question isn't whether AI can continue. The question is whether anyone engineered the exit ramp.
Most organizations believe AI failures begin with a bad prompt, a flawed model, or an unreliable agent. In reality, they begin much earlier—with the human decisions quietly embedded into systems long before AI is ever deployed.
Every approval workflow, routing rule, escalation path, confidence threshold, exception policy, and business rule becomes part of the logic AI inherits. Once automated, those invisible design choices are executed at enterprise scale.
As organizations rapidly deploy Microsoft Copilot, Copilot Studio, Power Automate, Azure AI, Microsoft Fabric, Teams, SharePoint, and AI-enabled workflows into production, they invest heavily in orchestration, observability, evaluation, and infrastructure.
Yet one critical architectural layer often remains largely undefined: how AI systems recognize the limits of their authority, escalate uncertainty, and safely transfer decision-making back to people.
This session introduces Human Intervention Architecture™, a practical framework for designing human intervention directly into production AI systems. Rather than treating governance as documentation completed after deployment, attendees will learn how to engineer escalation pathways, decision ownership, accountability, and human oversight directly into AI-enabled workflows before failures occur.
Using familiar Microsoft AI technologies and real-world implementation scenarios, attendees will discover how seemingly routine implementation decisions become enterprise business logic—and how those hidden assumptions shape AI behavior long before a prompt is ever written.
KEY TAKEAWAYS:
• Identify the hidden business logic, decision pathways, and governance assumptions AI systems inherit before deployment.
• Apply Decision Mapping to expose where escalation, human judgment, and decision ownership should exist within AI-enabled workflows.
• Apply a practical implementation framework to determine when AI should continue autonomously, when it should escalate uncertainty, and when critical decisions should return to people—creating AI systems that are resilient, trustworthy, and governable.
Instead of leaving with another discussion about responsible AI, participants will leave with a repeatable framework they can immediately apply to Microsoft and any other Enterprise AI infrastructures.
🙂 Tajah M. Gross, PhD

🕜 12:30 pm @ Data, Power BI, Fabric
⭐️ RAYFIN UNLEASHED: ENGINEERING THE NEXT WAVE OF AI-POWERED ANALYTICS IN MICROSOFT FABRIC
Dive deep into Rayfin and explore how it is reshaping the future of analytics within Microsoft Fabric through advanced AI-driven experiences, intelligent query generation, and seamless integration across enterprise data platforms. This technical session is designed for architects, data engineers, and BI professionals who want to move beyond conceptual understanding and into practical implementation patterns, covering how Rayfin enhances data discovery, accelerates insight generation, and integrates with existing Fabric workloads such as semantic models, lakehouses, and governance controls. Attendees will gain actionable guidance on deploying Rayfin in real-world scenarios, optimizing performance and security, and leveraging it to unlock scalable, cross-platform analytics across Azure and multi-cloud environments.
🙂 Dan Evans

🕜 12:30 pm @ M365, Intranet
⭐️ DESIGNING PORTALS WITH SHAREPOINT & COPILOT: LEVERAGE THE LATEST FEATURES FOR IMPACTFUL EXPERIENCES
SharePoint’s latest innovations make it easier than ever to build portals that are not only functional but visually compelling and deeply engaging. This session explores how to use new design elements—like Flexible Sections, custom fonts, enhanced branding tools, and Copilot—to create modern, user-friendly portals that reflect your organization’s identity.
We'll cover how to integrate AI-powered Copilot features to personalize content delivery and streamline user interactions.
Whether you're refreshing an intranet or launching a new digital workspace, this session will equip you with the strategies and tools to build portals that are not only functional—but transformative.
🙂 Cathy Dew

🕜 12:30 pm @ Power Platform, Copilot Studio
⭐️ YOUR NEW TEAM: A DAY IN THE LIFE WITH COPILOT STUDIO AGENTS
What if your AI didn’t just answer questions — it took action? Walk through a realistic IT Product Manager scenario and see how Copilot Studio agents hand off tasks, surface insights, and collaborate across systems so you can focus on decisions that matter.
Day in the Life Scenario - Agents in Actions
7 Agents
6 System
1 Goal
🙂 Danny Anil

🕜 12:30 pm @ Azure AI, Agents, Governance
⭐️ BUILDING AI AGENTS WITH MICROSOFT FOUNDRY
Anyone can demo an agent. Shipping one inside an org is harder: model selection, grounding, tool permissions, evaluation, and drift all show up fast.
First, we’ll break down what “production” actually means for agents—identity, tool scope, auditability, and data boundaries—and where Azure AI Foundry fits.
Next, we’ll build a small agent that answers questions over internal content and takes a controlled action, while keeping tool access tight and logging every step.
Finally, we’ll add evaluation and a release workflow so you can measure quality over time and catch regressions before users do.
Attendees leave with a practical pattern for delivering agents without hand-wiring a pile of services.
🙂 Jared Rhodes

🕜 1:30 pm @ Data, Power BI, Fabric
⭐️ USING PURVIEW TO UNDERSTAND AI READINESS
This session will be co-presented by Jason Shelton, Managing Director of Data and AI Strategy, focused on Microsoft 365 and AI strategy alongside a Chief Information Security Officer (CISO) from a Microsoft enterprise customer. The intent is to provide both the advisory and practitioner perspectives, sharing real-world experience from a Copilot Readiness Assessment conducted within a regulated industry environment.
The CISO will bring a firsthand view into the challenges organizations face when enabling Copilot at scale, including data security, governance, and risk management considerations. While the specific organization will remain confidential, the session will draw directly from actual implementation scenarios, decisions, and lessons learned throughout the readiness assessment process.
This dual perspective allows attendees to hear not just how readiness is assessed and structured, but how those recommendations translate into real executive decisions, tradeoffs, and operational outcomes inside a Microsoft customer environment.
🙂 Jason Shelton

🕜 1:30 pm @ M365, Intranet
⭐️ CHAMPIONS, SUPER USERS, AND ACCIDENTAL EXPERTS: WHO REALLY DRIVES ADOPTION?
Every organization has them. The curious clicker. The spreadsheet wizard. The person everyone messages with “quick question?” before IT even knows there’s a problem.
These are your champions… even if they were never officially named.
In this interactive roundtable, we’ll talk honestly about who really drives Power Platform adoption inside organizations and how to support them without burning them out or turning them into unpaid help desks. Together, we’ll explore how champions emerge naturally, how to nurture them intentionally, and how to scale their impact across teams.
Expect real stories, shared lessons, and plenty of “yes, that happened to us too” moments as we swap ideas on building a sustainable, people-first champion strategy.
🙂 Shari Oswald

🕜 1:30 pm @ Azure AI, Agents, Governance
⭐️ GOVERNING AI AGENTS IN MICROSOFT AI FOUNDRY: FROM EXPERIMENT TO ENTERPRISE CONTROL
As organizations move beyond simple chatbots toward autonomous agents, the stakes of AI deployment have shifted from getting a good answer to executing a safe action. While Microsoft AI Foundry provides the raw capabilities for orchestration, enterprise leaders must solve a critical challenge: How do you grant an agent the agency to act without the legal or operational authority to cause harm?
This session bridges the gap between AI experimentation and enterprise level control. Drawing on real world traps, including high profile legal and regulatory failures, the presentation introduces a comprehensive 4-layer governance architecture: Identity, Data, Behavioral Guardrails, and Lifecycle Oversight. These failures were not caused by bad AI models, but by missing guardrails.
Participants will learn how to operationalize these layers using the 5P Framework (Purpose, Pilot, Playbook, Production, Performance) to move from a Human in the Loop to a Human in Lead model. The session demonstrates how reliability is engineered through system design rather than simply hoped for. Attendees will walk away with a clear architectural roadmap for building agents that are grounded, auditable, and accountable, alongside a downloadable Agent Governance Assessment Sheet to evaluate their own production readiness.
🙂 Himanshu Goil

🕜 2:30 pm @ M365, Intranet
⭐️ INTEGRATING FORMS WITH TEAMS FOR REAL-TIME RESPONSES
During a Microsoft Teams call, do you ever wonder what your attendees are thinking, or what their thoughts are on a specific topic or initiative that is being discussed?
Microsoft Forms is a powerful and versatile tool that integrates with Teams and allows you to create surveys, quizzes, and polls that can be responded to by customers, employees, vendors, etc. providing you accurate real-time responses from your Teams audience. In modern Microsoft 365 these results can then be exported to an Excel spreadsheet for use by Power Platform to integrate with SharePoint, and to generate visual charts or graphs using Power BI for additional data analysis.
The integration of Copilot in Forms reduces time and effort spent on creating surveys, by using Copilot to generate draft content with suggestions that you can use to refine and customize your survey to meet your specific needs. Copilot also helps improve the quality and accuracy of surveys by providing immediate feedback, therefore avoiding common pitfalls and biases by identifying leading questions, or ambiguous wording.
In this session we are going to introduce and discuss the different types of Forms, how to create a form using Copilot in Forms, and creating it interactively, from within Forms or a Microsoft Teams channel. We will also explore configuration options associated with forms, as well as how to utilize the results with Power Platform and Power BI.
🙂 Brian Alderman

🕜 2:30 pm @ Power Platform, Copilot Studio
⭐️ MASTERING POWER PLATFORM GOVERNANCE: ADVANCED STRATEGIES FOR SECURITY, COMPLIANCE, AND CONTROL
Explore proven, enterprise-grade strategies to establish a robust governance framework across your Microsoft Power Platform environments. This session moves beyond the basics to provide a layered approach to protection, focusing on how Environment Strategy and Data Loss Prevention (DLP) policies act as your first line of defense.
We will then take a deep dive into Dataverse Security Architecture, mastering Role-Based Access Control (RBAC), Business Units, and Field-Level Security to ensure granular data protection. Attendees will gain actionable insights to:
Design a scalable environment and DLP strategy to mitigate "Shadow IT."
Implement complex Dataverse security models that align with organizational hierarchies.
Streamline administration and audit logs to ensure continuous regulatory compliance.
Avoid common pitfalls that compromise platform integrity while still empowering maker innovation.
🙂 Stalin Ponnusamy

🕜 2:30 pm @ Azure AI, Agents, Governance
⭐️ TALK TO THE FUTURE: BUILDING VOICE AGENTS WITH AZURE AI FOUNDRY AND THE REALTIME API
What
A demo-driven, architecture-focused session that shows you how to build production-ready voice agents using Azure AI Foundry and the GPT-4o Realtime API. This session covers the full architectural picture of how voice agents work — from audio input processing and real-time speech recognition through to natural language understanding, response generation, and text-to-speech output — demonstrated live with a working voice agent handling real conversational scenarios end to end. Attendees leave with a clear understanding of the architecture, the implementation patterns, and the production considerations that separate a compelling voice demo from a reliable enterprise voice agent.
Why
Voice is the most natural human interface — and it is rapidly becoming the most important AI interface in enterprise environments. Customer service, field operations, hands-free workflows, accessibility scenarios, and multilingual support are all driving demand for voice agents that go far beyond basic speech-to-text transcription. The GPT-4o Realtime API changes what is possible fundamentally — enabling low-latency, naturally conversational voice interactions that were simply not achievable with traditional speech processing pipelines. Yet most organisations have no idea how to architect and build a production-grade voice agent on the Microsoft AI stack. They see impressive demos but cannot bridge the gap between what they see and what it takes to build something reliable, secure, and scalable in their own environment. This session bridges that gap entirely — showing the architecture, the implementation, the failure modes, and the production patterns that make a voice agent genuinely enterprise-ready rather than just demo-impressive.
How
The session runs as follows:
1. The voice agent landscape — 8 minutes: Why traditional speech processing pipelines fall short for modern enterprise voice scenarios, how the GPT-4o Realtime API changes the architecture fundamentally, and where Azure AI Foundry fits as the platform for building, deploying, and managing production voice agents at enterprise scale.
2. Architecture deep dive — 15 minutes: The full voice agent architecture — audio capture and streaming, real-time speech recognition, natural language understanding, conversation state management, tool integration for live data access, response generation, and text-to-speech output. Latency management, interruption handling, and the architectural patterns that make voice feel natural rather than robotic. Security, authentication, and data residency considerations for enterprise voice deployments.
3. Live demo — voice agent in action — 17 minutes: A complete end-to-end live demonstration of a working voice agent built on Azure AI Foundry and the GPT-4o Realtime API — handling real conversational scenarios including natural interruptions, context retention across multiple turns, live data lookup via tool integration, and multilingual interaction. The demo is run unscripted to show how the agent handles unexpected inputs and recovers gracefully from edge cases — giving attendees an honest view of real-world voice agent behaviour rather than a polished rehearsed script.
4. Production considerations and lessons learned — 5 minutes: Latency optimisation, fallback handling, monitoring voice agent quality in production, cost management at scale, and the honest lessons learned from taking voice agents from prototype to production in real enterprise environments.
5. Q&A — 5 minutes: Open questions on architecture decisions, Azure AI Foundry configuration, Realtime API capabilities, and implementation challenges.
Who
Developers, solution architects, and technical decision-makers who are building or evaluating voice-enabled AI experiences on the Microsoft AI platform. Skill level: Intermediate to Advanced. Attendees should have a general understanding of Azure AI services and REST API concepts. Prior experience with Azure AI Foundry or the GPT-4o Realtime API is helpful but not required — all architectural concepts are explained from first principles before the live demo.
Prerequisites — recommended before attending:
- General familiarity with Azure AI services and the Azure portal
- Basic understanding of REST APIs and WebSocket communication patterns
- Working knowledge of at least one programming language — Python or JavaScript preferred
- General understanding of conversational AI concepts including intents, entities, and conversation turns
Top 3 Key Takeaways
1. A complete architectural understanding of how production-grade voice agents work on Azure AI Foundry and the GPT-4o Realtime API — from audio input to conversational response — including the latency management, interruption handling, and tool integration patterns that make voice agents feel genuinely natural rather than robotic in real enterprise scenarios.
2. First-hand experience seeing a working voice agent handle real, unscripted conversational scenarios live — including natural interruptions, multi-turn context retention, live data lookup, and multilingual interaction — giving a concrete, honest view of what production voice agent behaviour actually looks like beyond a carefully rehearsed demo.
3. A practical set of production considerations — latency optimisation, fallback handling, quality monitoring, and cost management — backed by real implementation experience, that you can apply immediately to move your own voice agent initiatives from compelling prototype to reliable, scalable enterprise deployment.
🙂 Samir Makwana

🕜 3:30 pm @ Data, Power BI, Fabric
⭐️ ZERO TRUST FOR THE AI ERA: SECURING TODAY’S CLOUD WITH MICROSOFT’S WELL-ARCHITECTED PRINCIPLES
This session focuses on applying Microsoft’s Zero Trust model to the Security pillar of the Well-Architected Framework. It will guide attendees through how to implement key principles—verify explicitly, use least privilege, and assume breach—within modern AI environments that increasingly integrate AI. Real-world challenges around identity protection, data governance, and workload isolation will be examined alongside strategies to balance strong protection with user productivity. The session highlights how Zero Trust is not only critical for securing today’s business applications but also foundational for sustainable and trustworthy AI adoption in the enterprise.
🙂 Saul Patino

🕜 3:30 pm @ M365, Intranet
⭐️ INTELLIGENT DOCUMENT PROCESSING IN MICROSOFT 365
Drowning in documents 💁‍♂️? Let's fix that. This session reveals how to transform Microsoft 365 into your intelligent document powerhouse—automating the tedious stuff so your team can focus on work that actually matters.
What You'll Walk Away With:
🔹Forget theory. It'll be all about demos, demos and more demos!
🔹Generate documents instantly. Master content assembly techniques that turn SharePoint list data into professional documents—contracts, reports, letters—populated automatically from your templates. One click, done.
🔹Get signatures without the runaround. Integrate e-signature capabilities directly into your Microsoft 365 workflows. No third-party apps, no email chains, no chasing people down. Just seamless digital signing that tracks and stores everything properly.
🔹Stop manually tagging documents. Set up column autofill to extract and populate metadata automatically. Dates, document types, reference numbers—let the system handle it while you do literally anything else.
🔹Break language barriers effortlessly. Deploy built-in translation capabilities that convert documents across multiple languages automatically. Your global teams get content in their language without sending files to translation services.
🔹Make everything searchable. Leverage OCR (optical character recognition) to extract text from scanned PDFs, images, and legacy documents. That mountain of paper you digitized? Now it's fully searchable and usable.
🔥This isn't about shiny features—it's about reclaiming hours every week, reducing errors, and building document workflows that scale. Whether you're processing invoices, managing contracts, or wrangling compliance documents, you'll leave with a clear roadmap to implementation.
🙂 Mohamed Derhalli

🕜 3:30 pm @ Power Platform, Copilot Studio
⭐️ AZURE LOGIC APPS: BUILDING SCALABLE INTEGRATIONS FOR THE ENTERPRISE
Well-designed Power Automate flows can easily scale for large teams, but are they scalable enough for the entire org? Can your cloud flows reliably support larger, mission-critical, enterprise-level workloads? Possibly, but maybe not.
Azure Logic Apps, Microsoft’s enterprise orchestration platform, is the assured choice if you’re integrating across software ecosystems and requiring greater throughput.
In this session, we'll discuss Azure Logic Apps’ relationship with Power Automate, its flexible development options, opportunities for CI/CD deployment, and day-one savings.
🙂 Charles Lakes II

🕜 3:30 pm @ Azure AI, Agents, Governance
⭐️ AGENTS AS A SERVICE: BUILDING ENTERPRISE AI THAT ACTUALLY SCALES
Your team built one successful agent. Now you have five teams asking to build agents. By next year, you'll have fifty requests. How do you scale agent development without hiring fifty AI engineers?
The answer is agents as a service: centralizing core agent infrastructure, providing templates and guardrails, and letting business teams deploy agents faster. Think of it like cloud computing—you don't build your own servers; you consume compute as a service. Agents work the same way.
This session covers building an agent platform for your organization: (1) architecture for agent reuse: shared model providers, shared data connectors, shared governance, (2) agent templates and patterns so business teams can build agents without AI expertise, (3) orchestration at scale: managing dozens of agents, monitoring them, updating them, (4) governance that scales: how to enforce consistency and safety across many agents without centralizing decision-making, (5) operational model: who builds what, who supports what, how do you staff this sustainably.
Real scenario: Your organization wants to deploy agents across finance, operations, HR, and sales. You can't hire four specialized teams. Instead, you build an agent platform: a shared semantic model (so all agents use consistent definitions), shared connectors (so all agents can access common data), shared safety rules (so all agents operate within governance), and templates (so teams can configure agents without coding). One central team maintains the platform; business teams deploy agents.
By the end, you'll understand the shift from "agents are experimental" to "agents are infrastructure your organization scales on."
🙂 Sajitha Sritharan
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