Collaboration Platforms for Remote Teams

NEW: Microsoft Teams will enable messaging safety features by default! Microsoft is improving messaging security in Microsoft Teams by enabling key safety protections by default. This update helps safeguard users from malicious content and provides options to report incorrect detections, reducing risk and improving collaboration security. 𝐖𝐡𝐞𝐧 𝐭𝐡𝐢𝐬 𝐰𝐢𝐥𝐥 𝐡𝐚𝐩𝐩𝐞𝐧: Starting January 12, 2026. 𝐖𝐡𝐨 𝐢𝐬 𝐚𝐟𝐟𝐞𝐜𝐭𝐞𝐝: Tenants that have not previously modified messaging safety settings and are still using the default configuration. 𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐡𝐚𝐩𝐩𝐞𝐧: The following settings in Teams admin center Messaging Settings will be turned ON by default: - Weaponizable file type protection - Malicious URL protection - Report incorrect security detections 𝐄𝐧𝐝 𝐮𝐬𝐞𝐫𝐬 𝐦𝐚𝐲: - See warning labels on messages containing malicious URLs. - Have the option to report false positives. - Experience blocked messages if they contain weaponizable file types. - If you have already customized and saved these settings, your preferences will remain unchanged. 𝐖𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐝𝐨 𝐭𝐨 𝐩𝐫𝐞𝐩𝐚𝐫𝐞: - Review current values for these settings in Teams admin center > Messaging > Messaging settings > Messaging safety. - If you do not want the new defaults to apply, adjust settings and click Save before January 12, 2026. - Communicate this change to helpdesk staff and update internal documentation if necessary. Learn more: https://lnkd.in/eyvCya4t https://lnkd.in/eUb7GZ8a https://lnkd.in/ehqQtH9k #Microsoft365 #Teams #Cybersecurity

🔗 How do we know when universities are really plugged into business? We all agree that linkages between universities and businesses are crucial for innovation. But actually measuring those linkages is incredibly hard. So much collaboration lives off the radar: joint labs, contract research, spin-offs, informal advisory roles, international partnerships and talent flows. Traditional statistics only capture a fraction of this. That’s why with Times Higher Education we made a new effort in the Global Innovation Index (GII) 2025 and the November GII Innovation Insight blog https://lnkd.in/e6XRr6bn: A composite indicator on “University industry and international engagement” on: 🧩 Industry engagement – how strongly universities work with firms 🌍 International outlook – staff, students and publications across borders. Global leaders Among high-income economies: 🇭🇰 Hong Kong, China – with the City University of Hong Kong scoring highly 🇳🇱 Netherlands – featuring universities such as Maastricht University School of Business and Economics (our alma matter!) with strong cross-border collaboration 🇸🇬 Singapore – National University of Singapore and Nanyang Technological University Singapore stand out as deeply embedded in global research & business networks 🇨🇭 Switzerland – led by institutions such as ETH Zürich and EPFL 🇺🇸 United States – with universities such as Massachusetts Institute of Technology combining frontier research with commercialization pathways 📈 Fast risers – emerging economy league table Upper middle-income economies 🇨🇳 China – with Peking University (Beijing) as a key anchor 🇿🇦 South Africa – strong university–industry and international linkages 🇹🇷 Türkiye – growing collaboration between academia and business Lower middle-income economies 🇮🇳 India – Indian Institute of Science (IISc) shine 🇯🇴 Jordan and 🇱🇧 Lebanon – stand out on international outlook 🇪🇬 Egypt – increasingly connected to global academic networks Low-income economies entering the radar 🇺🇬 Uganda 🇷🇼 Rwanda 🇲🇿 Mozambique 🇪🇹 Ethiopia Regional champions – universities as innovation anchors 🇪🇺 Europe – Netherlands / Maastricht University 🇺🇸 Northern America – United States / MIT 🌍 Northern Africa & Western Asia – Qatar University 🌍 Sub-Saharan Africa – South Africa / University of the Witwatersrand 🌏 Central & Southern Asia – Iran / Amirkabir University of Technology - Tehran Polytechnic University of Technology 🌎 Latin America – Brazil / USP - Universidade de São Paulo 3 takeaways 🧠 Universities are the “connective tissue” of innovation systems 📏 Measurement is imperfect – but essential. Indicators like this help identify strengths, blind spots and opportunities 🚀 Progress is possible at every income level Phil Baty Michael Mbogoro. PhD RTTP Lien VERBAUWHEDE KOGLIN Marco M. Alemán Lorena Rivera León

Are we realising the potential of our networks to make change happen? Most innovation emerges from collaborative projects where teams openly “borrow” & adapt each other’s (often small but powerful) ideas. Many networks & communities of practice could achieve so much more by experimenting together around collective priorities to generate & share new solutions. This is beyond spreading known “best” or “good” practices. It is about innovating to design new solutions collectively. So I appreciated this piece from Ed Morrison about three different kinds of networks: - Advocacy networks are communities that seek to mobilise people, creating pressure to shift policies, priorities or messages in a particular direction. Their aim is to connect & influence rather than to change how they themselves work. - Learning networks are communities of practice. They share knowledge, compare practice & build shared capability. Learning networks often excel at spread & improvement of existing practice, but only sometimes move into structured innovation work. - Innovating (or transforming) networks are communities that combine their assets - ideas, relationships, data, capabilities - to create new value that none could produce alone. They manage collaboration as a process of experimentation: agreeing a shared outcome, running multiple connected tests of change, learning by doing & amplifying what works across the network. https://lnkd.in/edbbexiG. Every learning network has the potential to become an innovating/transforming network. Some actions to enable this: 1. Build a foundation of strong, trusting relationships within the network, understanding each member’s starting point & motivation for change 2. Focus on helping each other to succeed; listen to each others’ stories & plans, co-coach, give advice to each other & build shared inquiry 3. Move from “sharing” or “raising awareness” to some concrete outcomes the network want to change together through collective experimentation 4. Agree some simple norms for the network so that members help each other to make progress, make it safe to try things, fail fast & share incomplete work 5. Encourage multiple, parallel tests of change around similar outcome so projects can “steal with pride” from one another & quickly refine promising ideas 6. Put simple routines in place for noticing patterns (what is shifting where & why), capturing these insights & amplifying them across the network 7. Add additional success metrics including innovations tested, adapted & adopted in multiple places Graphic by Ed Morrison. Content with added inspiration from June Holley.

Many people believe live trainings work better simply because people can talk to each other face‑to‑face, but that’s not the real reason. In reality, their effectiveness comes from something else entirely, they naturally follow a powerful learning rhythm. Great offline trainings follow one simple logic: action → reflection → understanding → application. This is Kolb’s Cycle. And it’s incredibly powerful. The problem? It was almost impossible to implement it in online learning. That’s why 90% of online courses look like “interactive lectures”: nice slides, videos, quizzes. But that’s content consumption, not transformation. And now - the unexpected twist. For the first time, online learning has caught up with offline experiences. Because AI removed the main barrier: it finally allows learners to get experience, reflection, and practice in a personalized way. Here’s how Kolb’s Cycle looks in modern learning design: 1️⃣ Concrete Experience — action Essence: the learner must do something, live through a situation, face a task — ideally experiencing difficulty or making a mistake that shows their current model doesn’t work. How online: role-based dialogue, scenario simulation. 2️⃣ Reflective Observation — reflection Essence: pause and think — what happened, what actions were taken, and why the result turned out this way. How online: interactive reflection prompts; AI coach provides feedback based on performance and the learner’s own reflections. 3️⃣ Abstract Conceptualisation — understanding Essence: form a new behavioural model — concepts, principles, algorithms that explain how to act more effectively. How online: short video lecture, model breakdown, interactive frameworks, checklists, interactive infographics. 4️⃣ Active Experimentation — application Essence: try the new model in a safe environment and observe the result. How online: AI-based simulation, situational exercise, case-solving with the new approach; AI coach supports and adjusts. The outcome? Online learning stops being “content” and becomes a behaviour tracker. A course becomes a training simulator, not a film. Kolb’s Cycle finally becomes real in digital learning. Do you use this framework? What results have you seen?

What truly sets top performers apart is not just hustle—it’s their tech stack. I spent years testing tools for better focus and efficiency, and I can tell you: working smarter beats working harder every time. The most productive people don’t use more tools. They use the right ones—and make them work together. Here’s a typical high-performer’s tech stack (and why it matters): 🗂️ Notion or ClickUp → For organizing tasks, projects, and notes in one place. Say goodbye to scattered to-do lists. 📅 Google Calendar → For time blocking and protecting focus sessions. Because if it’s not on the calendar, it often doesn’t happen. 🤖 ChatGPT or AI Tools → For brainstorming, drafting content, and automating repetitive tasks. AI isn’t just hype—it’s a real productivity multiplier. 💬 Slack or Teams → For fast, targeted communication that replaces endless, draining meetings. ☁️ Cloud Storage → For accessing files anytime, anywhere. No more “I left it on my other computer.” Pro tip: It’s not about having lots of tools. It’s about having the right tools that integrate smoothly—supporting your workflow instead of interrupting it. Personally, refining my own tech stack has been a game-changer. It’s like having a personal productivity assistant that never sleeps. What about you? What’s one tool in your stack you can’t live without? Share it in the comments—I’d love to learn from your experience. And if you want more practical strategies for productivity, technology, and smarter work, feel free to follow me here on LinkedIn. #Productivity #TechStack #FutureOfWork

Designing training programs that actually transform learners? Start with this timeless truth: People don’t learn just by listening. They learn by doing. One of the models I often use while designing development interventions is the 70-20-10 model of learning. Originally developed by McCall, Eichinger, and Lombardo, this framework continues to remain relevant — even in an age of AI-driven learning and digital platforms. Here’s how it breaks down: 1) 70% – Experiential Learning - Learning by doing. On-the-job tasks, stretch assignments, simulations, and real-life decision-making. This is where actual transformation happens. It’s the space where knowledge turns into capability. 2) 20% – Social Learning - Learning from people. Through feedback, coaching, mentoring, peer discussions — we learn by observing, reflecting, and engaging with others. It deepens context and creates community. 3) 10% – Formal Learning - Learning from structured content. Workshops, courses, textbooks, instructional videos. Still important — but only a small piece of the bigger puzzle. When I design workshops, I treat this model not as a formula — but as a design principle. The formal workshops (10%) introduce key concepts. The social components (20%) reinforce it through feedback and peer exchange. But it’s the on-the-job application (70%) that brings the real shift. Because people don’t remember slides — they remember experiences. The 70-20-10 model is a reminder that learning isn’t an event. It’s a process. Transformation doesn’t come from knowing… it comes from doing. If you're building learning programs for your organization, start by asking: “Where will this show up in their real work?” That’s where learning becomes meaningful. #LearningAndDevelopment #CorporateTraining #ManishKhanolkar

Building High-Performance Remote Engineering Teams is not just about video calls.... I’ve worked with teams across the UK, Europe, and the US, and one thing is clear: remote work isn’t inherently slower. But a lot of engineering teams fail because they try to run distributed teams like co-located ones. Here’s what really makes a remote engineering team high-performing: 1️⃣ Communication by Design, Not by Chance Async-first: Chat isn’t enough. Document decisions, architectural diagrams, and API contracts in a place everyone can access. Structured updates: Daily standups are optional; status tracking through PR reviews, automated CI pipelines, and project boards is mandatory. 2️⃣ Ownership & Clear Boundaries Each engineer owns services, APIs, or modules end-to-end. Service contracts are explicit. Teams don’t block each other because ownership is clear and dependencies are well-documented. 3️⃣ CI/CD Is Non-Negotiable Remote teams must trust that pushing code won’t break production. Automated testing, linting, and deployment pipelines reduce friction and async bottlenecks. Feature flags and incremental rollouts are your best friend. 4️⃣ Knowledge Visibility Remote teams fail when knowledge lives in heads. Maintain internal wikis, architecture maps, and runbooks. Code reviews aren’t just for QA—they’re the primary async learning tool. 5️⃣ Metrics That Actually Matter Velocity in story points? Fine. But measure deploy frequency, mean time to recovery, bug escape rate, and codebase health metrics. These metrics highlight systemic issues instead of punishing individuals. 6️⃣ Tech Stack Choices Matter Prefer tools that support async collaboration: GitOps, Slack with integrated threads, Jira/Trello boards, distributed logging, observability dashboards. Avoid systems that require constant synchronous attention or centralised knowledge bottlenecks. 7️⃣ Culture Is Explicit, Not Implicit High-performing remote teams share principles in writing: “We merge only green builds,” “We document before we ship,” “We pair when ownership overlaps.” Bottom line: Remote engineering success is built on process, ownership, tooling, and visibility, not on heroic effort or long hours. If your team is still treating async work like a co-located office, you’re leaving productivity and sanity on the table.

Let's continue learning some of the lesser known topics in frontend. And today we will talk about Monitoring our frontend for error, performance issues, user interactivity, core web vitals and a lot more. Monitoring isn’t just a backend thing, as frontend developers, we need to know how users actually experience our app in the real world. That’s where tools like Microsoft Clarity shine. Clarity helps you monitor your frontend like never before: Session Recordings: See exactly how users navigate, click, and scroll. Heatmaps: Identify high-engagement areas and dead zones. Frustration Signals: Detect rage clicks and unresponsive UI elements. Performance Insights: Spot slow pages and layout shifts early. It’s super easy to set up, completely free, and comes with a rich dashboard to track issues and improve UX. If you care about delivering a smooth, frustration-free experience to your users, frontend monitoring is not optional anymore, and Clarity is a great place to start. Apart from Microsoft Clarity which is one of my favourite tools, there are a lot of use case specific tools that you can look forward too. I will mention some of them below along with their use cases along with my personal favorites. Tools for User Behavior & Session Replay: Hotjar | by Contentsquare, Fullstory, Lucky Orange Tools for Performance & Error Monitoring Sentry (personal fav), New Relic Browser, Datadog's RUM Tools for Core Web Vitals & Real User Metrics Google Analytics 4, SpeedCurve, Raygun Tools for Accessibility & UX Checks LogRocket (their tool and blogs both are awesome) and Inspectlet Explore these tools and monitor and improve on your websites user experience and performance. Follow Shashank Pandey for more #microsoft #clarityjs #logrocket #newrelic #frontend #js

Some people let remote work drain their energy. Others use it to triple their productivity. The difference? The tools they master. Over the years, I’ve tested dozens of apps, platforms, and systems to find what truly works for remote professionals and these 6 have transformed my work-from-home life. 1. Asana The backbone of my project management. Every task, deadline, and collaboration is tracked here, no more endless email threads or forgotten assignments. 2. Trello Perfect for visual planning. I map my content calendar, client work, and personal goals. The drag-and-drop interface saves hours each week. 3. Evernote My digital brain. Every meeting note, idea, and resource lives here. The search function is so good I can find anything in seconds. 4. Focus@Will A game-changer for deep work. Science-backed music that helps me stay focused for hours at a time. 5. Slack My communication hub. Quick questions, file sharing, and updates, without the chaos of scattered messages. 6. Zoom Not just for meetings, I use it for client presentations, team check-ins, and even training recordings that save hours of repeated explanations. Here’s the key: These tools aren’t magic. They work because I committed to mastering them, learning every feature, creating systems, and training my team. Now? I get 3x more done in half the time. So stop hopping from tool to tool. Pick the right ones, master them, and watch your productivity soar. P.S. If you want more updated strategies, tools, and insights to boost your productivity and career growth, Join my Career Spotlight Group. It’s where I share my best resources before they go public. 👉 https://lnkd.in/gB22r3_b #RemoteWork #ProductivityTools #WorkFromHome #CareerGrowth

🔐 Are you really collaborating securely in Microsoft 365? Too many orgs confuse collaboration with convenience - and end up paying the price. 📉 Oversharing files 🚨 Guest users with overbroad permissions 🤖 Copilot extensions running unchecked 💣 Shadow IT from self-service app installs 💬 Anonymous Teams chat from fake trial tenants If you're using Microsoft 365, you could be exposing sensitive data right now - without knowing it. 👇 That’s why I built this 15-slide carousel packed with expert-level, actionable guidance to lock down your digital collaboration environment -without destroying productivity. 🛡️ What you'll get in the carousel: - The #1 setting you should change today for Microsoft Entra guest access - Why public M365 Groups can quietly wreck your data strategy - How to shut down Copilot plugin sprawl before it starts - Easy wins like defaulting OneDrive links to "Specific people" - Smart controls for Power Platform tenant isolation …plus 10 more secure-by-default collaboration tips. 🔗 Want the deep dive? Read the full blog post with references and Microsoft Learn links here: 👉 https://lnkd.in/et5MeeC2 💬 Seen these risks in your org? Let’s discuss in the comments. 🔁 Share this with a fellow exec or cybersecurity lead - because collaboration should never come at the cost of control. #CyberSecurity #Microsoft365 #DataStrategy #CopilotSecurity #MicrosoftPurview #CloudSecurity #CTO #CIO #CISO #DigitalTransformation #InformationSecurity #MicrosoftEntra #M365Admin #ShadowIT #ITStrategy #ZeroTrust #SecureByDesign #CopilotReadiness #MicrosoftTeams #SharePointOnline #OneDriveforBusiness