Welcome to the latest issue of Dura Digital's newsletter, where we dive into cutting-edge technology trends and uncover the world of tech advancements.
Welcome to the latest issue of Dura Digital's newsletter, where we dive into cutting-edge technology trends and uncover the world of tech advancements. Discover insights on how to choose the right UX approach to solve design challenges, how Microsoft is adopting MCP to make it easier to build AI agents, and read Dura Digital’s latest guide to ensuring RevOps success.
A guide to RevOps success
RevOps (Revenue Operations) aligns sales, marketing, and customer success under one strategic system, unifying data, KPIs, and processes to drive smarter decisions and scalable growth. Dura Digital explores the core principles of RevOps, real-world success stories, and why adopting this model is key to unlocking predictable revenue and operational efficiency.
Utilizing Model Context Protocol (MCP) to enhance AI impact
Microsoft is embracing the open-source Model Context Protocol (MCP) to simplify how large language models interact with real-world data and applications. This post breaks down how MCP enables more reliable, grounded AI tools across Azure services, GitHub Copilot, and Semantic Kernel, making it easier to build powerful, agentic AI workflows that understand and act on your data.
When tackling UX challenges, many designers find it natural to dive straight into UI layouts, but not every problem is a UI issue. This article breaks down why understanding the different layers of user experience (from strategy to structure to surface) is essential to choosing the right design tool for the job. A thoughtful reminder that effective design is about precision, not just polish.
Recommendations for technology leaders implementing agentic AI
As agentic AI enters the hype cycle, technology leaders are under pressure to deliver results fast, but smart leaders are choosing to pace with purpose. This article outlines four key recommendations for navigating agentic AI implementation: go only as fast as value and governance allow, let enterprise complexity guide use cases, design for scale (not just pilots), and embrace executive partnerships to lead with clarity.
