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Simply slapping "AI" onto your existing work doesn't mean you've transformed it! One of the reasons the AI bubble will burst (and yes, it will happen) is poor decision-making driven by the fear of missing out (FOMO). Unfortunately, we are seeing these exact mistakes being made by everyone—from massive consulting firms to startups building AI products from scratch. Let me give you a few examples: Wrong: Using AI merely to interpret or summarize the conclusion of a report you'

Just yesterday, I was sharing my ideas for a next-generation purchasing platform/experience with a friend. As of today, I’m thrilled to see that this is technically possible thanks to Google UCP (Universal Commerce Protocol). In my previous role, we experimented with a similar structure via WhatsApp; however, in that kind of experience, you could only manage to collect the deposit for a car, not complete the full sale! :) So, what exactly is UCP , and what does it mean for e-

If I had asked people what they wanted, they would have said faster horses I love this quote, even if I’m not necessarily a fan of Henry Ford himself. Why? Because data tells you about the past, but it cannot design the future on its own. Today, as companies scramble to become "Data-Driven," they are falling into this exact trap. While leaders drown in Excel spreadsheets, they miss out on true innovation—the "car" itself. This is what we call "Digital Obesity." We consume to

Risks in AI projects are often not caused by the technology itself, but by gaps in strategy, organization and processes. This article looks beyond the “technology problem” to explain why AI projects really fail and how these non-technical risks can be managed.