Teams | Collaboration | Customer Service | Project Management

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.

8 Ways wAnywhere Strengthens Your DPDP Act Compliance

Protecting personal data in the modern workplace requires more than a privacy policy. It requires visibility, security controls, accountability, and consistent operational practices. As organizations embrace digital transformation, remote work, hybrid operations, and large-scale outsourcing, personal data is processed across an increasingly complex ecosystem of employees, systems, devices, service providers, and business applications.

What is workforce analytics software? The complete guide

Workforce analytics software explained: what it measures, how it differs from HR reporting, real examples, and how to choose a platform for your team. Free 7-Day Trial 15 mins Setup No Credit-card Top Rated Platform Voted as Highest Rated Employee Monitoring Software in the World by G2 Summarize With AI Workforce analytics software collects work data, like hours worked and task activity, and turns it into reports. The reports show how your team spends its time.

A CIO And CISO Guide To Preventing Enterprise Data Leakage Under DPDP

Ten years ago, sensitive data left an enterprise through email attachments, file shares and the occasional USB drive. Today most of it leaves through a browser tab. Customer records live in SaaS CRMs, ticketing tools and banking portals, and the routes out of those apps are a paste into a personal chat window, an upload to personal storage, a screenshot or a prompt typed into a public AI assistant.

WTF Is an MCP Server? (And Why You Should Care)

So, MCP servers. You’ve probably heard about them by now. Maybe someone mentioned them in a meeting, you read about them on LinkedIn, or one popped up in a product update from one of the tools you use at work. And maybe you nodded along like you knew what it meant. No judgment. We’ve all done it. (I’ve done it more than I’d like to admit.) But the problem is, most explanations of MCP servers I’ve read are written by developers, for developers.

"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.

5 Best Project and Resource Management Software for 2026

When you run operations at a services firm, the schedule often says one thing and the timesheets say another. Margin only shows up after the month closes, and finance waits on project managers for invoicing data. Every tool in this list can plan projects and schedule people. Where they differ is how far they connect that plan to costs, margin, and billing.

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.