Upcoming June 2026 Microsoft 365 Champion community call
Join our next community call on June 23, 2026, to explore Microsoft 365 Copilot Cowork and learn how it can really help you get stuff done. Reminder: Our community calls are in the Teams webinar format, so you must register to receive the link to join. The join link will be sent to you in email with your webinar registration confirmation. https://aka.ms/M365ChampionCallAM https://aka.ms/M365ChampionCallPM The calls will still start at 5 minutes past the hour for both sessions (at 8:05 AM and 5:05 PM PT), and it will still end at the top of the hour (9:00 AM and 6:00 PM PT, respectively). While our calls are open to everyone, you must be a member of the Microsoft 365 Champion Program in order to access the presentation materials - the access link is in the initial welcome email and the monthly newsletter emails sent the week before the community calls. An on-demand recording will still be available on our Driving Adoption > Events pages, as well as on our Microsoft Community Learning YouTube channel. If you have not yet joined our Champion community, sign up here to get access to the monthly newsletters, calendar invites, and program assets (e.g., the presentations).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.Upcoming March 2026 Microsoft 365 Champion Community Call
Join our next community call on March 24, 2026, to dive into PowerPoint: creation in Copilot and agent mode. Reminder: Our community calls are in the Teams webinar format, so you must register to receive the link to join. The join link will be sent to you in email with your webinar registration confirmation. https://aka.ms/M365ChampionCallAM https://aka.ms/M365ChampionCallPM The calls will still start at 5 minutes past the hour for both sessions (at 8:05 AM and 5:05 PM PT), and it will still end at the top of the hour (9:00 AM and 6:00 PM PT, respectively). While our calls are open to everyone, you must be a member of the Microsoft 365 Champion Program in order to access the presentation materials - the access link is in the initial welcome email and the monthly newsletter emails sent the week before the community calls. An on-demand recording will still be available on our Driving Adoption > Events pages, as well as on our Microsoft Community Learning YouTube channel. If you have not yet joined our Champion community, sign up here to get access to the monthly newsletters, calendar invites, and program assets (e.g., the presentations).Improve your professional skills for this essential work
This blog highlights essential resources for driving technology adoption in organizations, focusing on practical skills and strategies. It introduces key video topics, including the role of a User Enablement Specialist, the importance of storytelling for engagement, a three-step approach to advancing tech careers, and vital presentation skills for gaining leadership support. Together, these resources offer actionable guidance for professionals seeking to champion digital transformation and foster successful adoption initiatives.Sunderland City Profile: Frontier transformation in practice
Download the SmartCitiesWorld City Profile – Sunderland Cities everywhere are facing the same pressure: modernize infrastructure, grow the economy, and improve quality of life, without widening inequality. Sunderland offers a credible path forward. Once defined by shipbuilding and coal mining, Sunderland has spent the last four decades deliberately reinventing itself. Today, it is positioning itself as the UK’s leading smart city by investing in digital infrastructure, data, and low‑carbon innovation to drive inclusive, long‑term growth. The latest City Profile from SmartCitiesWorld captures how this strategy is being executed and why it matters for city leaders globally. A digital backbone built for outcomes, not optics Sunderland’s progress starts with a clear foundation: connectivity and data designed with purpose. Full‑fibre connectivity across the city Citywide 5G and LoRaWAN coverage A secure, cloud‑based smart city data platform Together, this stack enables real‑time visibility across transport, environment, and public services. More importantly, it shifts the city from reactive decision‑making to proactive, evidence‑led operations. The impact is measurable. Data and analytics now support: Safer, more predictable event planning Smarter traffic and mobility management Earlier environmental interventions More targeted social and health services From digital health hubs that reduce exclusion to intelligent transport pilots that cut emissions and improve safety, Sunderland is applying technology where it delivers the highest public value—not where it looks most impressive on a slide. What comes next: two opportunities to scale impact The City Profile also highlights where cities like Sunderland can go further. Two opportunities stand out. Move from smart services to predictive city operations With real‑time data already in place, the next step is predictive modeling—anticipating demand across social care, transport, energy, and public safety before pressure points emerge. Done right, this enables earlier investment decisions, lower long‑term costs, and better outcomes across services. Turn digital inclusion into a workforce engine Sunderland’s digital health hubs create a foundation for something bigger: linking access and digital skills directly to workforce development. By aligning inclusion efforts with local demand in advanced manufacturing, data, and clean energy, cities can convert access into sustained economic mobility. Why Sunderland’s approach matters Sunderland’s experience reinforces a critical point: smart city transformation is not about technology in isolation. It is about aligning infrastructure, data, governance, and community priorities around a shared vision for inclusive growth. For public‑sector leaders moving from ambition to execution, the full City Profile provides practical insight into the partnerships, operating models, and decisions behind Sunderland’s approach. It’s a useful reference for anyone looking to translate a digital‑first strategy into measurable impact—for people, place, and long‑term resilience.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 impactFrom SOP Overload to Simple Answers: Building Q&A Agents With SharePoint Online + Agent Builder
Government teams run on Standard Operating Procedures, manuals, handbooks, review instructions, HR policies, and proposal workflows. They’re essential—and everywhere. But during every Government Prompt‑a‑thon we've run this year, one theme kept repeating: "Our policies are many and finding the right answer quickly is nearly impossible." Turning SOPs into Simple Q&A Agents with M365 Copilot's Agent Builder or SharePoint Agents is possibly one of the fastest wins for public‑sector teams.How are you keeping your associates up to date on Microsoft changes? HELP
I’m looking for ideas or best practices from other organizations on how you're keeping associates up to date with the constant changes across Microsoft 365 especially in Teams, Outlook, SharePoint, Planner, Visio, and Copilot. With so many updates rolling out daily from the roadmap and message center, it’s a challenge to make sure users are aware of new features and understand how to use them in our environment. Do you have an intake process for all changes or just some? Do you vet all changes? Do you have a self-service model? Do you have a centralized communication or training strategy? Are you using internal champions, newsletters, Viva tools, or other methods? How do you make updates engaging and easy to understand? Any tips for turning roadmap and Message Center updates into actionable guidance? Thanks in advance for sharing what’s working for you!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.
