Microsoft 365 & Power Platform Community call
💡 Microsoft 365 & Power Platform Development bi-weekly community call focuses on different use cases and features within the Microsoft 365 and Power Platform - across Microsoft 365 Copilot, Copilot Studio, SharePoint, Power Apps and more. Demos in this call are presented by the community members. 👏 Looking to catch up on the latest news and updates, including cool community demos, this call is for you! 📅 On 5th of March we'll have following agenda: Latest on SharePoint Framework (SPFx) Latest on Copilot prompt of the week PnPjs CLI for Microsoft 365 Dev Proxy Reusable Controls for SPFx SPFx Toolkit VS Code extension PnP Search Solution Demos this time Aimery Thomas (Avanade) – Extend PnP Modern Search solution with a custom layout to improve pages display Peter Paul Kirschner (ACP Cubido) – Creating agent chat solution with OpenAI GPT SDK and Semantic Kernel with SPFx Hugo Bernier (Takeda) – Creating UX gallery to pick templates - Building AI integrated SPFx web part 📅 Download recurrent invite from https://aka.ms/community/m365-powerplat-dev-call-invite 📞 & 📺 Join the Microsoft Teams meeting live at https://aka.ms/community/m365-powerplat-dev-call-join 💡 Building something cool for Microsoft 365 or Power Platform (Copilot, SharePoint, Power Apps, etc)? We are always looking for presenters - Volunteer for a community call demo at https://aka.ms/community/request/demo 👋 See you in the call! 📖 Resources: Previous community call recordings and demos from the Microsoft Community Learning YouTube channel at https://aka.ms/community/youtube Microsoft 365 & Power Platform samples from Microsoft and community - https://aka.ms/community/samples Microsoft 365 & Power Platform community details - https://aka.ms/community/home 🧡 Sharing is caring!Microsoft 365 & Power Platform product updates call
💡Microsoft 365 & Power Platform product updates call concentrates on the different use cases and features within the Microsoft 365 and in Power Platform. Call includes topics like Microsoft 365 Copilot, Copilot Studio, Microsoft Teams, Power Platform, Microsoft Graph, Microsoft Viva, Microsoft Search, Microsoft Lists, SharePoint, Power Automate, Power Apps and more. 👏 Weekly Tuesday call is for all community members to see Microsoft PMs, engineering and Cloud Advocates showcasing the art of possible with Microsoft 365 and Power Platform. 📅 On the 3rd of March we'll have following agenda: News and updates from Microsoft Together mode group photo Sébastien Levert – Creating your first Copilot Chat declarative agent with Microsoft 365 Agents Toolkit April Dunnam – Using Microsoft 365 Copilot in Power Apps 📞 & 📺 Join the Microsoft Teams meeting live at https://aka.ms/community/ms-speakers-call-join 🗓️ Download recurrent invite for this weekly call from https://aka.ms/community/ms-speakers-call-invite 👋 See you in the call! 💡 Building something cool for Microsoft 365 or Power Platform (Copilot, SharePoint, Power Apps, etc)? We are always looking for presenters - Volunteer for a community call demo at https://aka.ms/community/request/demo 📖 Resources: Previous community call recordings and demos from the Microsoft Community Learning YouTube channel at https://aka.ms/community/youtube Microsoft 365 & Power Platform samples from Microsoft and community - https://aka.ms/community/samples Microsoft 365 & Power Platform community details - https://aka.ms/community/home 🧡 Sharing is caring!
📣 Getting Started with AI and MS Copilot - Arabic
👋 مرحبًا بالمعلمين والمعلمات! نأمل أن تكونوا بخير 🌟 هل ترغبون في استكشاف عالم الذكاء الاصطناعي مع Microsoft Copilot؟ ندعوكم لحضور جلسة "مقدمة إلى الذكاء الاصطناعي مع Copilot من مايكروسوفت"، المصمّمة خصيصًا للمعلمين الذين يبدؤون رحلتهم مع Copilot. في هذه الجلسة التفاعلية والعملية، سنقوم معًا برسم "وجهة أحلامنا" باستخدام الذكاء الاصطناعي، ونتعرّف على أساسيات الذكاء الاصطناعي التوليدي، كيفية كتابة تعليمات (Prompts) فعّالة، وأفضل الطرق لتوظيف هذه الأدوات داخل الصف الدراسي. 📌 الجلسة ستكون باللغة العربية، مع أمثلة واقعية، مواد جاهزة، ومساحة مخصصة لطرح الأسئلة والتجربة العملية. 📅 اللقاء سيتم عبر Join the meeting nowWhat Are the Best Practices for Implementing Microsoft Power Automate in a Growing Organization?
Hello Everyone, We’re planning to scale Microsoft Power Automate across our growing organization and would appreciate your expert insights. What are the best practices for implementing Microsoft Power Automate effectively — especially regarding governance, security, environment management, licensing, and user adoption? If you’ve implemented Microsoft Power Automate in a mid-sized or scaling company, please share: Key lessons learned Common mistakes to avoid Governance and CoE strategies Tips for managing citizen developers Looking forward to your valuable suggestions. Thank you!From AI pilots to public decisions: what it really takes to close the intelligence gap
Across the public sector, the conversation about AI has shifted. The question is no longer whether AI can generate insight—most leaders have already seen impressive pilots. The harder question is whether those insights survive the realities of government: public scrutiny, auditability, cross‑department delivery, and the need to explain decisions in plain language. That challenge was recently articulated by Sadaf Mozaffarian, writing in Smart Cities World, in the context of city‑scale AI deployments. Governments don’t need more experiments. They need decision‑ready intelligence—intelligence that can be acted on safely, governed consistently, and defended when outcomes are questioned. What’s emerging now is a more operational lens on AI adoption, one that exposes two issues many pilots quietly avoid. Decision latency is the real enemy In government, decision latency is not about slow analytics, it’s the time lost between having a signal and being able to act on it with confidence. Much of the focus in AI discussions is on accuracy, bias, or model performance. But in cities, the more damaging problem is often this latency. When data is fragmented across departments, policies live in PDFs, and institutional knowledge walks out the door at 5pm, leaders may have insight but still can’t decide fast enough. AI pilots often demonstrate answers in isolation, but they don’t reduce the friction between insight, approval, and execution. Decision‑ready intelligence directly attacks this problem. It brings together: Operational data already trusted by the organization Policy and regulatory context that constrains decisions Human checkpoints that reflect how accountability actually works The result isn’t faster answers—it’s faster decisions that stick, because they align with how governments are structured to operate. Institutional memory is infrastructure Cities invest heavily in physical infrastructure—roads, pipes, facilities—but far less deliberately in institutional memory. Yet planning rationales, inspection notes, precedent cases, and prior decisions are often what make or break today’s choices. Consider a routine enforcement or permitting decision that looks reasonable on current data, but quietly contradicts a prior settlement, a regulator’s interpretation, or a lesson learned during a past inquiry. AI systems that don’t account for this history don’t just miss context, they create risk. Decision‑ready intelligence treats institutional memory as a first‑class asset. It ensures that when AI supports a decision, it does so with: Access to relevant historical records and prior outcomes Clear lineage back to source documents and policies Logging that preserves not just what was decided, but why This is what allows governments to move faster without relearning the same lessons under audit pressure. Why this matters now Public sector AI initiatives rarely fail because of a lack of ambition. They stall because trust questions—governance, records, explainability—arrive too late. By the time leaders ask, “Can we stand behind this decision?” the system was never designed to answer. Decision‑ready intelligence flips that sequence. Governance is not bolted on after the pilot; it’s built into the operating model from the start. That’s what allows agencies to scale from a single use case to repeatable patterns across departments. A practical starting point The cities making progress aren’t trying to transform everything at once. They start small but visible: Identify one cross‑department “moment of truth” Define what must be logged, retained, and explainable Connect just enough data, policy, and work context to support that decision From there, they reuse the same patterns—governed data products, policy knowledge bases, and human‑in‑the‑loop workflows—to scale responsibly. AI in government will ultimately be judged the same way every public investment is judged: by outcomes, fairness, and public confidence. Closing the intelligence gap isn’t about smarter models. It’s about designing decision systems that reflect how governments actually work—and are held accountable. Learn more by reading Sadaf's full article: Closing the intelligence gap: how cities turn AI experiments into operational impact
SharePoint at 25: The knowledge platform for Copilot and agents
Join us for a global digital event to celebrate the 25th birthday of SharePoint! Gear up for an exciting look at SharePoint’s historic moments along with an exclusive look ahead to the next chapter of SharePoint’s AI future! You will discover how SharePoint’s new content AI capabilities and intelligent experiences will transform the way people create, manage, and collaborate. Be sure to stick around after for our live Ask Microsoft Anything (AMA), where you can ask your questions about the exciting new SharePoint features directly to the product team! 🛠️ Don’t miss the SharePoint Hackathon in March 2026 Design, create, share! We are excited to invite you to a hackathon dedicated to crafting exceptional employee experiences using AI and the latest SharePoint features. More details coming soon. Event Link
