Teams | Collaboration | Customer Service | Project Management

Earlier this month, Miro hosted Canvas 26 at London’s Tobacco Dock. During the event, I hosted a design leadership panel, bringing together leading voices from the industry to share their thoughts on how the advent of AI is changing the face of design.

The best way to get value out of AI is to scale at the team level, but while 85% of workers use AI, only 29% have embedded it into team workflows. The Atlassian Learning Team is in that 29%, and the lessons they’ve learned are a model for teams of all types. They shared three ways teams can start becoming AI native today. The Atlassian Learning Team helps Atlassian app users build skills and confidence with free on-demand courses, dynamic live team training, and app adoption guides for teams.

Group dynamics is the study of how people behave, interact, and influence one another within a group, covering everything from how groups form to how roles, conflict, and cooperation shape their performance over time. This guide covers exactly what you need.

The biggest productivity trends 2026 are AI-driven automation, outcome-based performance tracking, fully remote work outperforming hybrid and office models on engagement, and a sharp focus on reducing meeting overload and after-hours messaging. This guide covers exactly what is changing: Every trend below is backed by current research from Gallup, Microsoft, McKinsey, and industry workplace studies.

Built on Anthropic’s Claude Managed Agents infrastructure, Claude Agent for Jira lets you assign work items directly to Claude. Your agent’s work now sits in Jira alongside everything else: tracked in your project, visible in workflows, and connected to the goals it’s helping ship. The agent automatically processes the work item context, implements the required changes in a secure sandbox, and opens a draft pull request for your review.

‍ Most critical infrastructure organizations are running communications on platforms built for the wrong threat model. Commercial SaaS tools were designed for persistent internet connectivity and vendor-managed infrastructure. Neither holds in energy grids, water systems, transport networks, or healthcare environments facing active cyber threats. Secure messaging for critical infrastructure is not a feature upgrade. It is an architectural decision.