Sam Naqvi

The Rise of AI-Generated Impostors: Email, LinkedIn, and Beyond

Leave a Comment / AI & Emerging Technologies, Software Engineering - DevOps, Uncategorized /

Readers, beware of an alarming new trend: scammers are using AI to create highly convincing “fake identities.” These impersonators might pose as a “CEO” or “recruiter,” often using phrases like “Act now,” “This is confidential,” or “Your account will be closed.” – Artificial Intelligence (AI) is transforming industries, however, it’s also arming cybercriminals with powerful […]

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Between Code and Coastlines – Whispers of Nature in a Wired World

Leave a Comment / Work-Life Balance /

Hey everyone! I know some of you might be thinking, “This website feels a bit too technical for us non-IT folks.” Well… you’re not wrong 😊 However, don’t worry, I’ve got you covered! I’ll be sharing some interesting photos (and maybe even videos) of beautiful nature scenes from California and Washington States, including some interesting

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How AI is Transforming QA Testing & Reducing Effort

Leave a Comment / AI & Emerging Technologies, Cloud Computing, Software Engineering - DevOps /

Recently, I wrote about business impact of downplaying QA (Testing), highlighting many risks of neglecting comprehensive quality assurance (QA) efforts. I also promised to follow up with an article on how to reduce development time and effort by adopting an AI-powered QA testing strategy. To be clear, my intent wasn’t to simply point out a

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Important Safeguards Against a Microsoft Office 365 Outage

Leave a Comment / Agile-PM, Cloud Computing, Software Engineering - DevOps /

Recently (Last month), a major Microsoft outage primarily affected Office 365 and Teams, disrupting business operations, collaboration, and communication. As with any global software outage, users faced difficulties accessing emails, documents, and essential business tools. To help businesses stay operational during such disruptions, I wrote an article outlining key strategies. While Microsoft outages can be

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Key Risks and Business Impact of Downplaying Software (QA) Testing

Leave a Comment / Agile-PM, Software Engineering - DevOps /

With recent software (patch) failures making headlines, I couldn’t help but reflect on my own experience as a former release manager. What went wrong? Was there a conflict with existing version? Was this new version and or a patch insufficiently tested before release? Or was it simply a case of human misjudgment-assuming that update was

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How AI Can Optimize SAFe & LeSS Implementations

Leave a Comment / Agile-PM, AI & Emerging Technologies, Cloud Computing /

“LeSS” (Large Scale Scrum) “SAFe” (Scaled Agile Framework) Introduction In a discussion with my colleagues about SAFe & LeSS, some of them asked if I could write a concise, easy-to-digest version on “How AI can optimize SAFe and LeSS implementations”. It took me some time to dive into the topic, but after researching, I’ve gathered

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Azure DevOps vs. Jira: Which Agile Tool Fits Your Workflow?

Leave a Comment / Agile-PM, Cloud Computing /

Over the years, I’ve noticed that ‘tech community’ frequently debates about their choice between JIRA Confluence and Azure DevOps – Kanban for project management. Cost has always been a focal point & a deciding factor. While I have extensive experience with Azure DevOps – Kanban, these ongoing discussions prompted me to take a deeper dive

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How To Train Reliable Dataset for an AI Model

Leave a Comment / AI & Emerging Technologies, Software Engineering - DevOps /

There is a growing concern within the IT community about reliability of AI. Some schools of thought question the accuracy and trustworthiness of AI-generated results, particularly due to quality and biases of datasets used to train these models. I dedicated some time to research methods to counter these concerns and explored ways to verify data

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