Office Hours Follow-up: What does your event team look like?
We just wrapped up a MGCI Training and Office Hours session talking about this very topic. (Link to recording will be added when it's ready) How does your team break down roles and responsibilities for your event planning? Tell us in the comments!Join us at Microsoft 365 Copilot Discovery event in Huntsville, AL! - UPDATED LOCATION AND DATES!
The Microsoft 365 Copilot Discovery event in Huntsville, AL features hands-on demos, expert sessions, and real-world use cases showcasing AI-driven productivity, Microsoft Copilot capabilities, and modern workplace innovation. The event takes place on May 19th 2026 in Huntsville, AL.Explore curated Microsoft Partner Digital Skilling Journeys
Partners like you understand that skilling isn't optional—it's foundational for success in an AI-first market. Keeping up with evolving technologies and capabilities will better position you with the skills needed to succeed in an ever-changing market. Explore Microsoft Partner Digital Skilling Journeys (PDJs), curated presales, sales, and tech skilling experiences designed to enhance your knowledge aligned with partner strategic wins. First-time users may need to register—use your work email credentials to sign up. Curated journeys include: Microsoft Security Copilot Drive Business Transformation with Microsoft Copilot 365 Innovate with Azure AI Platform Drive Windows in the Cloud with Windows 365 Cloud Endpoints Modern Security Operations Data Security for AI Migrate to Azure Drive Business Collaboration and Teamwork with Microsoft Teams Accelerate Data Analytics Journey with Microsoft Fabric Cloud Security These journeys are tailored to your interests, needs, and role within your organization. Select the link relevant to the journey you're interested in, register today on the Skilling Hub using your organizational login, answer a few questions, and you'll receive tech and sales-ready skilling experiences customized to your interests and goals. Register nowMicrosoft Partners: Accelerate Your AI Journey at AgentCon 2026 (Free Community Event)
Recently, a customer asked me a question many Microsoft partners are hearing right now: “We have Copilot — how do we actually use AI to change the way we work?” That question captures where we are in the AI journey today. Organizations have moved past curiosity. Now they’re looking for trusted partners who can turn AI into real business outcomes. That’s why events like AgentCon 2026 matter. A free, community-led event built by practicioners AgentCon is not a traditional conference. It’s a free, community-driven global event organized by the Global AI Community together with Microsoft partners and ecosystem leaders. Simply put: it’s for the community, by the community. Across cities worldwide, developers, consultants, architects, and Microsoft partners come together to share practical experiences building with AI agents, Copilot, and the Microsoft platform. The focus isn’t theory — it’s implementation: What worked What didn’t What partners can apply immediately with customers This peer learning model reflects how many of us actually grow in the Microsoft ecosystem: by learning from other partners solving real problems. Why this matters for Microsoft partners The opportunity for partners is evolving quickly. Customers aren’t just asking about AI tools — they’re asking how to redesign processes, automate work, and unlock productivity using AI-powered solutions. The Microsoft AI Cloud Partner Program emphasizes partner skilling and helping customers realize value from AI investments. Community events like AgentCon accelerate that learning by bringing partners together to exchange proven approaches and practical insights. When partners upskill faster, customers succeed faster. Why attend AgentCon is designed to help partners move from AI awareness to AI delivery. As an attendee, you can expect: Practical sessions and demos from practitioners Real-world AI and agent scenarios Direct conversations with builders and peers New collaboration and co-sell opportunities You’ll leave with ideas and approaches you can bring directly into customer engagements. Why speak AgentCon thrives because partners share openly with one another. If you’ve implemented Copilot, explored AI agents, or learned lessons from customer deployments, your experience can help others accelerate their journey. Speaking at AgentCon allows you to: Share your expertise with the global partner community Build credibility within the Microsoft ecosystem Create new partnerships and opportunities Contribute to collective partner success You don’t need a perfect story — just an honest one others can learn from. Join the global AgentCon community AgentCon 2026 events takes place around the world including these upcoming events: March 9 - New York: https://aka.ms/AgentconNYC2026 April 11 - Hong Kong: https://aka.ms/AgentconHongKong2026 April 16 - Seoul: https://aka.ms/agentconLondon2026 April 22 - London: https://aka.ms/agentconSeoul2026 Each event is locally organized, community-led, and free to attend. Help shape the next phase of AI adoption AI transformation is happening now — and Microsoft partners play a critical role in guiding customers forward. AgentCon is an opportunity to learn together, share experiences, and strengthen the partner ecosystem driving AI innovation. 👉 Register or apply to speak: https://aka.ms/agentcon2026 We hope you’ll join us — and be part of the community helping customers turn AI potential into real impact.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 impactSertifiointiviikot tulevat Maaliskuussa
Sertifiointi kannattaa – nyt on oikea hetki toimia Microsoftin Certification Week -tapahtumat tarjoavat kumppaneille erinomaisen mahdollisuuden vahvistaa osaamista, kuroa umpeen osaamisvajeita ja vauhdittaa liiketoimintaa – joustavasti verkossa. Maaliskuun aikana järjestettävät englanninkieliset Certification Weekit keskittyvät erityisesti Cloud & AI Platformiin, Securityyn sekä AI Business Solutions -ratkaisuihin. Kyse ei ole vain teoriasta, vaan käytännönläheisestä, ohjatusta oppimisesta, joka auttaa kumppaneita etenemään suoraan kohti sertifiointeja ja asiakasprojekteja. Huom! Kun olet mukana vähintään 80% tunneista ja labroista, niin saat ILMAISEN voucherin varsinaiseen sertifiointitenttiin. ➡️ Osallistu ja ilmoittaudu alla olevista linkeistä: Sertifikaatioviikko Kieli Päivät Rekisteröintisivu Cloud & AI Platform + Security English Maaliskuu 2.-6. https://aka.ms/EMEA-CW-EN-AS AI Business Solutions English Maaliskuu 9.-13. https://aka.ms/EMEA-CW-EN-AB Cloud & AI Platform + Security Spanish Huhtikuu 13.-17. https://aka.ms/EMEA-CW-ES-AS Cloud & AI Platform + Security German Huhtikuu 20.-24. https://aka.ms/EMEA-CW-DE-AS Cloud & AI Platform + Security Italian Huhtikuu 20.-24. https://aka.ms/EMEA-CW-IT-AS Cloud & AI Platform + Security French Toukokuu 18.-22. https://aka.ms/EMEA-CW-FR-AS Miksi Certification Weekiin kannattaa osallistua? ✅ Nopea tapa edetä sertifiointiin Instructor-led -sessioissa käydään läpi sertifiointien kannalta olennaiset sisällöt tehokkaasti ja selkeästi. ✅ Käytännön osaamista, ei pelkkää teoriaa Mukana on hands-on-labeja ja asiantuntijoiden vetämiä osuuksia, jotka auttavat ymmärtämään, miten opittu näkyy oikeissa asiakasratkaisuissa. ✅ Matala kynnys – täysin verkossa Osallistuminen onnistuu omalta koneelta, ilman matkustamista. Useita kielivaihtoehtoja ja reaaliaikaiset tekstitykset tukevat oppimista eri rooleissa ja maissa. ✅ Tukee liiketoimintaa suoraan Sertifioitu osaaminen auttaa mm. Designaatioiden ja spesialisaatioiden saavuttamisessa Projektien läpiviennin nopeuttamisessa Asiakasluottamuksen ja kilpailukyvyn vahvistamisessa Kenelle Certification Week sopii? Certification Week -tapahtumat on suunnattu laajasti kumppaniorganisaatioille: Teknisille asiantuntijoille ja arkkitehdeille Konsulteille ja delivery-tiimeille Presales- ja sales-rooleihin Uusille osaajille sekä kokeneille konkareille, jotka haluavat päivittää taitonsa AI- ja pilvimaailmassa Nyt on aika kutsua tiimi mukaan Kevään Certification Weekit täyttyvät nopeasti, ja nyt on erinomainen hetki kutsua oma tiimi mukaan. Yhteinen osallistuminen kasvattaa osaamista systemaattisesti ja tukee samalla organisaation pitkän aikavälin tavoitteita. 👉 Tutustu ajankohtaisiin Certification Week -tapahtumiin ja ilmoittautumissivuihin Skilling Hubissa http://www.skilling-hub.com Osaaminen on yksi tärkeimmistä kilpailutekijöistä – ja nyt siihen panostaminen on helpompaa kuin koskaan. Nähdään Certification Weekissä! PS: Jos sinulla on kysyttävää Microsoftin koulutuksista, niin voit koska vain laittaa sähköpostia osoitteeseen AskSkilling@microsoft.com
Excel Copilot now supports local files (Preview): what this means for everyday users
In the Microsoft 365 Current Channel (Preview), Excel Copilot Chat now supports local Excel files, not just workbooks stored in the cloud. This is a meaningful usability improvement because many users, especially students and early-career professionals, still work primarily with datasets stored locally on their devices. Why this matters for adoption: Users can now interact with Copilot Chat while analysing local Excel files. This reduces friction for offline work, assignments, and exploratory data analysis. It makes Copilot more practical for everyday learning and productivity workflows. For users learning data analysis, reporting, or business intelligence, this update lowers the barrier to using Copilot consistently rather than only in cloud-based scenarios. I am exploring how these preview features can improve real-world adoption and learning experiences, particularly for students and early-career users who work with Excel daily.The City Leader's Dilemma: How AI Is turning urban strain into strategic advantage
Ready to transform how your city plans and operates? Download the Trend Report 2025: Planning and operating thriving cities – innovation for smarter urban living to access the complete playbook on AI-powered urban innovation, complete with case studies from Bangkok, Singapore, Barcelona, and Manchester. Urban challenges aren’t slowing down. Populations are growing, climate pressures are intensifying, and residents expect seamless services, while budgets remain flat and workforces stretch thin. Traditional approaches can’t keep pace. The good news? Cities worldwide are showing that AI and digital innovation can drive meaningful improvements. Recent studies indicate that more than half of surveyed cities are already using AI to upgrade operations, and most plan to expand adoption in the next three years. For many leaders, the question is less about whether to act and more about how to act responsibly and effectively. After studying the latest research and real-world deployments, three strategic shifts stand out, each offering a different lens on how forward-thinking city leaders are turning pressure into progress. Shift One: From Fragmented services to unified citizen experiences Residents expect seamless problem-solving, not organizational complexity. Yet many cities operate in silos, transit systems, permitting offices, 311 reporting, and community engagement often run on separate platforms. The result? Multiple apps for residents, duplicated effort for staff, and missed insights locked in departmental databases. Leading cities are breaking this pattern through unified digital platforms powered by AI. Bangkok’s Traffy Fondue: Citizens report issues like broken streetlights or flooding via a mobile interface. AI categorizes each report and routes it to the right department. By mid-2025, the platform handled nearly one million citizen reports, improving engagement and reducing administrative overhead. The outcome? Reduced administrative overhead, and something harder to measure but equally important: residents who believe their government actually listens. Buenos Aires took a similar path with "Boti," a WhatsApp chatbot that evolved from a COVID-era tool into a citywide digital assistant. Citizens report issues, ask questions, and access services through the messaging app they already use daily. Technology that meets residents where they are improves efficiency and strengthens trust, when guided by principles of transparency and fairness. Shift Two: From reactive planning to predictive foresight Traditional urban planning relies on static models: masterplans, zoning maps, historical growth trends. These tools served their purpose. But they cannot capture the complexity of future risks, extreme weather, evolving mobility patterns, or the cascading effects of a single development decision. Digital twins complement human expertise by integrating geospatial data, climate models, and policy scenarios, helping cities make smarter decisions with limited budgets. Singapore's Digital Urban Climate Twin integrates geospatial data with climate models to simulate how different policies would affect temperature and thermal comfort across neighborhoods. These tools support informed decision-making while maintaining human oversight and accountability. The result? Strategic adaptation rather than reactive firefighting. Sydney built an urban digital twin that correlates environmental conditions with traffic accidents, using machine learning to predict crash risk on specific road segments. City planners can now test interventions virtually, what happens if we lower speed limits here? Add a bike lane there? Before committing resources. Even smaller cities are finding value. Imola, Italy uses a microclimate digital twin to model heat distribution street by street, guiding decisions about where to plant trees or specify cool pavement materials. The paradigm shift is profound: instead of planning based on what happened, cities can now plan based on what's likely to happen. This is how you make smart bets with limited budgets. Shift Three: From tech adoption to governance architecture Here's where many cities stumble. They invest in flashy pilots without building the institutional structures to sustain them. The cities getting this right treat governance as a strategic asset, not a compliance burden. Singapore's Model AI Governance Framework provides practical guidelines for transparency, fairness, and human-centric design. Its AI Verify toolkit lets organizations test their systems for resilience, accountability, and bias before deployment. Barcelona takes a different but equally rigorous approach, treating municipal data as a public asset under its Data Commons program. The city's procurement strategy favors open-source solutions, preventing vendor lock-in while supporting local innovation ecosystems. Both models share a common insight: rapid innovation doesn't automatically produce equitable outcomes. Governance creates the guardrails that allow experimentation without derailment. For city leaders, this means building cross-sector governance councils, adopting clear data strategies, creating ethical AI frameworks, and investing in workforce capability. These aren't obstacles to innovation; they're the foundation that makes sustained innovation possible. The Path Forward Cities that thrive in combine strategic vision with disciplined, responsible technology use. They embed digital capabilities into decision-making, supported by robust policies and cross-department collaboration. Learn how Microsoft helps governments build tech-empowered cities and resilient infrastructure at Microsoft for government. The Smart Cities World 2025 Trend Report provides the detailed case studies, governance frameworks, and implementation roadmaps to make this real. Download your copy now and start building the city your residents deserve.OpenAI’s open‑source model: gpt‑oss on Azure AI Foundry and Windows AI Foundry
Open-weight models give customer decision makers control and flexibility - no black boxes, fewer trade-offs, and more options across deployment, compliance, and cost. With OpenAI’s gpt-oss open-weight models on Azure AI Foundry, you can: Fine-tune and distill the models using your own data and deploy with confidence. Mix open and proprietary models to match task-specific needs. Spin up inference endpoints using gpt oss in the cloud with just a few CLI commands. And Foundry Local makes gpt‑oss-20b usable on a high-performance Windows PC – enabling use-cases in offline settings, buildings in a secure network, or running at the edge. Check out more here!
