Sam Naqvi

IaaS & AI – Building a Solid Foundation for Intelligence

Before We Get Technical… Why are we revisiting some of the foundational cloud concepts when so much of our recent discussion has focused on Artificial Intelligence? Because technology doesn’t operate in isolation. AI, modern applications, enterprise platforms, and digital transformation all rely on infrastructure and service models that many of us have been using for

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What If You’ve Been Using AI Wrong This Entire Time?

Let’s be honest. Artificial Intelligence (AI) can make some of our work incredibly easy. A draft that used to take an hour appears in seconds. Software code that once required hours of work can materialize with a few prompts. Reports that took half a day to review can be summarized almost instantly. Impressive? Absolutely. However,

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When ‘AI’ Gets It Wrong: Who Takes the Blame?

This topic had been brewing in my mind for a while, as I’ve been part of many discussions around today’s hot subject; artificial intelligence (AI). I decided to organize my thoughts and explore the question of accountability when AI fails. After much research, I’ve come to this conclusion: in today’s complex landscape of AI, determining

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Software Patch Paralysis

  Elaborating importance of Information Security During a recent coffee chat, a friend and IT manager shared his frustration over spending countless hours resolving yet another security breach. Drawing on years of experience in cybersecurity, I offered a few practical methods to prevent such situations. That conversation sparked this article on Software Patch Paralysis, a

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AI Economic Illusion: When Activity Looks Like Real Business Value (ROI)

AI adoption does not automatically translate into financial value for organizations seeking immediate ROI. If you are an IT professional, you may have felt an “AI vibe” around conversations about AI becoming part of our daily professional lives. I don’t mind occasional discussion. However, it starts worrying me when general AI enthusiasm begins to sound

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AI Devs vs Legacy Systems – When New Tools Clash with Old Architecture

During a recent biweekly lunch with my tech-intellectual friends, AI Devs vs Legacy Systems subject came up in discussion. Everyone had their own take; me? I was curious to learn more, so I went digging. I discovered several providers offering Legacy Modernization that is Expert-Led and AI-Assisted. Naturally, I shifted into pros-and-cons mode, which inspired

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AI Strategy Without Execution Is Just an Expensive PowerPoint

An AI strategy has no business value until an organization can translate it into execution. I just came out of a panel discussion on how to improve project engineering team efficiency without becoming a micromanager, and it got me thinking about a broader challenge I keep observing across enterprise technology. Having worked around enterprise systems

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Hidden Cybersecurity Risks of Making AI Look Too Easy

I didn’t set out to write about AI (Cybersecurity) risk. Over last few months, I kept noticing same pattern, smart people, senior/experienced IT professionals, using AI tools in ways that would never pass even a basic information security review. Not because they didn’t know better. But because (AI) tools made it feel safe. Simple. Harmless.

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Transparent Communication Saves Professional Lives (or at Least Deadlines)

In a recent coffee meeting with one of my former colleagues, our conversation turned to the importance of transparent communication in project environments. He suggested I write something on our topic of communication, and that sparked this piece of article which draws from my own experiences as a Technical Program Manager, where success often hinged

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