It is time to reverse the approach. Let us start asking our prospects a fundamentally uncomfortable question: Are your data, processes, and people actually ready for AI solutions? In a recent poll, I asked this exact question across my network, offering four distinct perspectives: that you cannot deploy AI when you aren't ready; that it is the AI vendor's job to teach readiness; that data and processes will remain a mess so we cannot wait; and that asking this question is simply too risky because it may turn away customers. Having vacillated between all four options at various times—depending on whether I was consulting for a vendor or a client—I know firsthand that there are no easy answers. That is precisely why I asked the question. What remains undeniable, however, is that AI requires robust, uncompromising preparedness. A single difference of just one letter in two data sets within a critical field, when replicated across thousands of records, can and does ...
There is a lot of talk around the rise, nay - the rapid lightening rise of AI LLMs, Gen AI and more. The rhetoric around its being innovation-driven is to be heard a lot nowadays; there is no denying their innovative and inventive background reality. To deny that would be abject foolishness - but that does not mean it is the innovation that won the market. Innovation never wins markets - and that, in a world where absolutes cannot stated, is an absolute. The Prerequisites for Winning Markets A market victory requires purchasing customers, the right ecosystem, available finance and regulations, and a demonstrable value proposition - not one of these is negotiable. Therefore, let me take a quick look at the growth of the LLM phenomenon from the eye of a marketer First of all - there is nothing like a product-led innovation - innovation is always market-led. Unless there was some history of innovations winning in the market, there would be fewer risk takers i...