Transforming Ideas into Reality
Parental leave has a funny way of slowing life down in the best possible way. Between diaper changes, late-night feeds, and short naps, I found myself with something I hadn’t had in years: quiet pockets of uninterrupted thinking time. One weekend, almost on a whim, I opened an old Git repository. Inside it was an online election SaaS platform I had built during the COVID…
The Technology Trap That’s Costing Enterprises Millions Every month, I see the same pattern repeat itself: leadership teams greenlight AI initiatives based on technological capability rather than business necessity. The result? According to industry research, 90% of AI products fail within their first year—not because the technology doesn’t work, but because they solve problems nobody actually has. The fundamental mistake isn’t technical. It’s strategic. When…
The buzz around Generative AI in SaaS is deafening, and for good reason—it’s opening doors we only dreamed of a few years ago. Yet, amidst the excitement, there’s a crucial truth most product teams quietly acknowledge but rarely champion: AI doesn’t magically fix a struggling product. What it does do, with remarkable precision, is amplify what’s already working well – and, perhaps uncomfortably, expose every…
As AI transforms how we build products, it’s also reshaping who builds them. The roles of Traditional AI Engineers (data scientists, ML engineers) and Generative AI Engineers (LLM engineers, AI app builders) are diverging—quickly. If you’re leading product or technical teams, or thinking about your own career path, it’s important to understand this evolution. Because while both roles are rooted in AI, they think, work,…
Once you understand the training differences between Traditional AI and Generative AI, the next major shift to grasp is in how they operate day-to-day. This is where things get real — because even if two systems use AI, how they function in a product or technical workflow can be wildly different. As a product builder or engineer, knowing the distinction between rule-based and probabilistic workflows…
In the first post of this series, we explored the core differences between traditional AI and generative AI — what they do, how they behave, and when to use them. Now let’s go a level deeper and look at how these systems are trained. Why does it matter? Because the way a model is trained impacts: And if you’re leading product or engineering, understanding this…
Let’s be honest – AI is everywhere right now, and most people are throwing around terms like “traditional AI,” “machine learning,” “generative AI,” “LLMs,” and “foundation models” as if they’re interchangeable. Many job descriptions mention AI / ML / GenAI / Machine Learning all together as if they are all interchangeable. They’re not. And if you’re in product, engineering, or any kind of tech leadership…
Rediscovering an Old Codebase, Thanks to Parental Leave As a tech professional and a product leader, my time is often consumed by strategy, roadmaps, and stakeholder alignment. But when I recently started my Parental Leave—thanks to S&P Global’s truly generous policy—I found myself with something rare: uninterrupted time. Naturally, I spent most of it with family, soaking in every moment. But I also carved out…
AI tech is real and changing many sectors globally, like product management. AI is creating intelligent systems that can think, learn, and act on their own. These act like humans, but are much faster and scalable. Artificial Intelligence (AI) not only affects product managers but also supports them in making processes automatic, understanding data better, tailoring user experiences, and boosting their decision-making. The rise of…
When we look at Product Management as a job, a typical Product Manager’s duties and responsibilities include a number of things. Different types of industries, different levels of seniority, and different areas of focus, among other things, require different kinds of activities. But if I have to explain what a typical day at work is like, I can divide it into three main parts: Working with both…