Agile-PM

Excited To Share That Big Things Are Coming Soon!

I’ve been quietly working on something meaningful – and now, I’m almost ready to pull back the curtain. After months of thought, real-world experience, and late-night brain dumps, I’m thrilled (and honestly a bit nervous) to announce that I’m working on my first book! It’s centered around Information Technology, Agile Methodology, AI’s impact on our […]

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Ethical Leadership in this Age of AI: Leading with Integrity

In our recent conversations with fellow tech professionals, the topic of ethical leadership in AI has come up often and for good reasons. As artificial intelligence becomes more deeply embedded in modern business operations, ethical implications of its use can no longer be ignored. From decision-making algorithms to facial recognition systems and automated hiring tools,

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How to Survive a Tough Job Market: Practical Strategies for IT Professionals

How to Survive a Tough Job Market: Practical Strategies for IT Professionals A few days ago, I had a candid discussion with some industry peers about the current state of the IT job market, fiercely competitive, sluggish, and increasingly unpredictable. In today’s landscape, surviving let alone thriving demands more than just technical know-how. With ongoing

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AI and Human Interaction aren’t Just Relevant, They’re Mandatory

Time and time again, this conversation lands right in front of me and statements like these are becoming all too common: “Oh… this (software/engineering) task? It’s nothing – AI can do it all. Or “You don’t have to do anything anymore – AI does it all.” You can even build a website without lifting a

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What If Your Developer Quits Mid-Sprint? Strategies for TPMs

It’s every Technical Project Manager’s nightmare, that is what if one of your key developers resigns in the middle of a sprint. This isn’t just a theoretical “what if”; it recently happened to a fellow TPM, and it left his team, product sponsor, and key stakeholders scrambling to realign. Suddenly, the sprint goals were in

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Framework for Team Empowerment & Meeting Project Deadlines

In today’s fast-paced, innovation-driven environment, success of software projects hinges not just on smart tools or cutting-edge methodologies, but it depends on successful teams behind them. Yet, I have seen with my own eyes that many organizations struggle with a fundamental paradox, i.e. How do you empower your teams to take ownership and be innovative,

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Balancing Quality and Budget: Practical Strategies for Release and Delivery Managers

How often do we, as Software Release, Delivery Managers, and Technical Project Managers, face this challenge of delivering high-quality Software Apps under tight budget constraints? It’s a common struggle, one that requires us to not only use our Dev and Test resources wisely, but also to enforce a disciplined change management process, promote operational efficiency,

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Balancing Code Quality with Project Deadlines – Especially When Stakeholders Disagree

How many times has this scenario come up in your career as a TPM? – And you said, I’ve been here before. That your sprint is halfway done, your team is knee-deep in refactoring legacy code, and suddenly, a stakeholder drops a “must-have” feature that wasn’t even in the backlog last week. Another stakeholder insists

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How AI Enhances Azure DevOps Backlog Management

I’ve been working with Azure DevOps since its transition from Visual Studio Team Services (VSTS), witnessing its evolution in both functionality and scope. With this current infusion of Artificial Intelligence (AI) and my own training in this field, my curiosity has reached new heights. I felt compelled to analyze and organize my thoughts by outlining

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How AI Enhances Azure DevOps Dashboards

After a discussion with some of my IT professional friends about my recent (Article) contribution on AI and Azure DevOps Backlogs, I decided to organize my thoughts on how AI enhances Azure DevOps dashboards. These dashboards provide teams with real-time insights into project progress, backlog management, and CI/CD pipeline performance. With an integration of Artificial

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