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The latest News and Information on Collaboration, tools and related technologies.

How Team Communication Improves Long-Form Content Creation

Creating high-quality long-form content takes more than strong writing skills. Blog articles, industry guides, reports, and thought-leadership pieces often require research, subject-matter expertise, editing, fact-checking, and approval from multiple people. When these activities happen in separate conversations and disconnected tools, content teams can lose time, overlook feedback, and struggle to maintain consistency.

Coworking Statistics: How Companies and Employees Use Shared Workspaces

You leave the house because you need a quiet place to work. An hour later, you’re in a shared workspace, wearing headphones while someone nearby explains their quarterly targets on a video call. Then, over coffee, a conversation with another member helps you solve something you’ve been stuck on all week. Both experiences can happen in the same place.

Employee Turnover Statistics: Why Employees Leave and What Makes Them Stay

A team can look stable on paper while its employees are quietly considering their next move. People attend meetings, meet deadlines, and keep projects running. What the headcount report cannot show is whether they still see a future with the company. That’s why employee turnover statistics need context. Resignations tell employers who has already left. Engagement surveys, job-search intentions, and employee experience research can reveal what’s happening among the people who are still there.

AI is exposing the missing layer in strategic planning

AI is making teams faster, but not organizations. The gap is a missing layer: governed work context that turns a change in strategy into a change in what happens next. AI is making teams faster but that doesn’t necessarily mean it is making organizations faster. That distinction matters. In a recent 451 Research survey, 88% of organizations using AI in workplace tools report productivity gains.

Operator, I need an exit from Big Tech calls

MatrixRTC has landed and Element Call takes off! All good things come to those who wait! MatrixRTC is finally here: the world’s first decentralised, end-to-end encrypted (E2EE), multiparty VoIP protocol. For messaging, decentralisation is a strength. Messages get through even when servers drop offline or networks split, and everything syncs when they reconnect. Voice and video also need low latency, though: a word that arrives two seconds late is no use to anyone.

Asana AI Teammates for Strategic Operations

Meet the AI Teammates built for Strategic Operations in Asana. See how the Executive Reporter turns account data into leadership-ready updates, the Portfolio Advisor flags risks before they become problems, the Program Ops Manager keeps PMO intake moving, and the Capacity Planner balances your team's workload — all learning and improving as they collaborate with your team. Key moments.

"Matrix, come here." The world's first cross-border government federation demo

On 10 March 1876, in a Boston laboratory, Alexander Graham Bell spoke into his new instrument: "Mr. Watson, come here, I want to see you." Thomas Watson, in the next room, heard every word. Two people, separated by a wall, had spoken through a wire for the first time, and the world's communications have never been the same. On 21 October 2026, in a Malmö hotel, we saw a similar breakthrough demonstration.

AI is making developers faster. It's also exposing what's broken in software delivery

Atlassian’s 2026 State of Developer Experience report reveals a disconnect between AI adoption, developer productivity and organisational performance. An engineering leader recently asked me how AI could help their team work more effectively, to keep up with a rapidly growing workload. It turned out the problem was upstream teams creating significantly more output with the help of AI.

Your Enterprise Data Shouldn't Go to a Public AI Endpoint #AI #SLM

Bigger AI models aren't always better for business. Here's why enterprise AI is going small. For years, the AI race focused on larger models with more parameters and broader capabilities. But enterprises have different priorities: data privacy, lower inference costs, faster responses, and control over their own infrastructure. Enter Small Language Models (SLMs). In this video, we explore why businesses are considering smaller, specialised AI models and how they could change the way enterprises deploy AI.