Cloud for Work

The real value of AI isn’t in the hype – it’s in fixing the problems people deal with every single day at work. This week, Microsoft invited the Cloud for Work team to their Emirates office for a hands-on workshop on how to design AI solutions that actually help people get things done, not someday, but tomorrow morning. A big thank you to Microsoft, and especially Eric Moneyang and Zeina K Zouheiri, for hosting us and pushing these conversations forward in the region. 🌟 We join sessions like this so we can come back with practical ideas and turn them into real, safe, and usable AI at work for our customers.

Get answers directly from Microsoft. Join Eric Moneyang (Microsoft) and Raghad Hemeimat (Cloud for Work) for an online Copilot Chat session covering security, licensing, real demos (plus a pilot plan you can defend instantly) and many more. 👇Register now to not miss out this opportunity. 📍IMPORTANT: After you click Attend on LinkedIn, please finish registration on the Microsoft Teams page to secure your seat.

🫢 OneDrive isn’t just file storage anymore. It’s getting its own AI agents. Microsoft is rolling out Copilot agents in OneDrive – project-style containers where you group files and folders, then let an agent answer questions, summarise changes and keep you updated without opening each document. Instead of searching through 20 files, you talk to an agent that already “knows” that project. What these OneDrive agents can do today: 🔹 Group related files and folders into a single AI-powered workspace 🔹 Answer questions across multiple docs at once 🔹 Summarise progress and highlight what’s changed 🔹 Save and share the agent so your team can work from the same context The catch: they sit on top of your existing structure, permissions and data quality. If your OneDrive is messy, your agents will surface that mess faster. For leaders, the real questions are: ❓ Which projects actually deserve an agent? ❓How do we name, structure, and secure these spaces? ❓Who owns each agent and its outputs? We’ll go deeper into this in our upcoming AI Agents & Copilot webinar, where we’ll cover: ✅ How to use Copilot across Work and Web to find answers in context ✅ When to use Work vs Web versions, and what that means for privacy and security ✅ How Researcher and Analyst agents accelerate briefs, proposals and analysis 💫A practical Master Prompt Playbook – 10 reusable prompts and patterns you can take back to your organisation. 👇 Register today as spots are limited: https://lnkd.in/eyJT4XXF

👀 📊 People shared secrets with public AI, and paid for it. In 2025 employees paste more sensitive info into public tools than leaders realize. Point is: public AI ≠ enterprise data governance. What this means for IT leaders 🔹 If AI is happening anyway, it has to happen under governance. 🔹“General AI” ≠ enterprise guardrails. 🔹Copilot Chat is the path to governed AI: tenant-bound, permission-aware, auditable. What you’ll get in the live session (no fluff): ✅ Security & compliance clarity you can implement. ✅ Where company data actually goes when people use AI, what changes with Copilot Chat. ✅ A controlled pilot plan: enable a small group, turn on audit/retention/monitoring from day one, and capture early proof of value. ✅ BONUS: EN/AR one-page prompt guide for safe, reliable usage (ask for sources, scoped prompts, human-in-the-loop) Live with Microsoft 🗓 19 Nov 2025 • ⏰ 11:30 AM Dubai 🎙 Eric Moneyang (Microsoft, Senior Partner Solutions Architect) 🎙 Raghad Hemeimat (Cloud for Work, Learning & Adoption) 🙌 Sign Up Now to Save Your Seat (Limited Capacity) https://lnkd.in/e9PFm8Pv

🙌 Get answers directly from Microsoft. Join Eric Moneyang (Microsoft) and Raghad Hemeimat (Cloud for Work) for a live Microsoft Copilot Chat session on security, compliance, UAE data residency, real demos, and a pilot playbook you can defend today. 👇Register Now to Secure Your Online Seat (limited availability). https://lnkd.in/e9PFm8Pv

People shared secrets with public AI, and paid for it. In the last two years we’ve seen headline cases and regulatory fines around privacy and data misuse. And study after study shows employees paste sensitive information into public AI far more than leaders realize. Point is: public AI ≠ enterprise data governance. What leaders care about (and should): ◾️Who sees my data? ◾️Who is learning from my data? ◾️Where is it stored? ◾️Can we audit, label, and control it? Why we lean into Copilot Chat (the work-safe route): 🔹Tenant boundary & permissions honored — Copilot only surfaces what a user already has access to. No cross-tenant spill. 🔹Grounded in your Microsoft Graph — answers in the context of your mail, files, and Teams with your existing access controls. 🔹Enterprise controls — sensitivity labels, audit, encryption at rest and in transit, and data residency options. No training on your tenant data, Microsoft 365 Copilot does not use your content to train foundation models. We’ll keep the “how” for the session: setting up Work vs Web safely, quick checks before rollout, and prompt patterns your teams will actually reuse. Thinking about a deep dive? Drop “invite” in the comments if you’d attend a 45-minute webinar on Copilot Chat: setup, guardrails, and real examples. #Microsoft365 #Copilot #CopilotChat #Security #DataPrivacy #ModernWork