Teams | Collaboration | Customer Service | Project Management

troop messenger

How to Deploy Self-Hosted Applications on AWS: A Step-by-Step Guide

Mar 7, 2026 By NYS Surya Kiran In Troop Messenger
The traditional ‘Cloud vs. On-Premise’ debate has seen a significant paradigm shift. In the year 2026, it is not necessary for organizations to choose between being completely dependent on the cloud or running costly physical servers within their office data centers. A new trend has emerged, where organizations are opting to use a strategic ‘middle path.’ This involves running on-premise style applications on AWS infrastructure.
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AI & Beyond with Microsoft and M-Files

Mar 6, 2026 By M-Files In M-Files
M-Files is presented by Microsoft as a comprehensive document management solution that transforms how organizations handle documents, people, and processes by creating a context-rich, connected ecosystem. The platform differentiates itself from traditional file storage systems by capturing knowledge and relationships around every document and workflow, creating a living information environment. M Files integrates natively with Microsoft 365 applications including Teams, Outlook, Office, and Copilot enabling AI-powered automation while maintaining security and compliance standards.
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troop messenger

Top Reasons to Choose On-Premise Servers Over Cloud in 2026

Mar 6, 2026 By NYS Surya Kiran In Troop Messenger
In recent years, many organizations have turned to cloud platforms because of their flexibility, scalability, and convenience. But with the rising threat of cyber attacks and the importance of data privacy, organizations have begun to realize that perhaps the best place for their communication systems to be located is not in the cloud at all. In 2026, organizations that require high security for their communication systems have turned to on-premise servers.
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miro

How Endava scaled AI-native delivery with Miro's AI Innovation Workspace and Dava.Flow

Mar 5, 2026 By Grisha Pavlotsky In Miro
Endava is a leading provider of next-generation technology services with 11,000 full-time employees serving enterprise clients across multiple industries. At a time when many organizations are testing AI in pockets — a chatbot here, a model there — Endava recognized the business imperative of a holistic AI transformation strategy at a company-wide level.
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miro

The DUMBO method: how to turn Sidekick conversations into repeatable AI Flows

Mar 5, 2026 By Seán Winters In Miro
As a cloud architect, you’re going to have to embrace AI as part of your job — unless handcrafted artisan cloud becomes a niche in the future. But this doesn’t mean that you’re going to be left by the wayside. Anybody who has used AI coding tools knows that interesting things can happen when decisions are left up to them. So, that means decision-making should be left up to the people and the code writing to the AI bots … right?
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miro

How engineering leaders can get more from AI code-gen tools

Mar 3, 2026 By Łukasz Sągol In Miro
AI code-generation tools promised a revolution in software development. And in many ways, they’ve delivered. Code that once took hours to generate now takes minutes. But the goal isn’t just to code faster; it’s to code well. Your teams need to feed AI coding tools the right context to generate code that works with your existing systems, meets your business requirements, and integrates without expensive rework.
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Miro MCP + Claude Code: Shipping Open Source Features with AI Agents

Mar 2, 2026 By Miro In Miro
Discover how AI Agents are revolutionizing the open-source engineering lifecycle. In this technical demo, we integrate Claude Code with Miro via the Model Context Protocol (MCP) to bridge the gap between visual planning and production code. Watch as autonomous agents analyze the MCP-Obsidian codebase, gather visual context from a website, and ship a new feature, directly from sticky notes on a board to a live Pull Request.
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atlassian

How a simple team ritual drove a 34% jump in AI alignment

Mar 2, 2026 By Dr. Molly Sands In Atlassian
The story of AI at work is often told in big, sweeping terms: platforms, transformations, enterprise rollouts. Those things matter. But day to day, what actually shapes behavior is what teams talk about regularly. So instead of launching yet another AI program, Atlassian’s Teamwork Lab gave an AI upgrade to a ritual we already had: retrospectives.
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