What will force the use of AI is not ‘thought leaders’ parroting about AI, or tech companies cramming it into literally every product. What will force the use of AI is customer expectations. This has been the case for every technology ever. When the first combines replaced manual labor, the expectation became 20 bushels of…
Predictive analytics in marketing is broken. More specifically, predictive analytics at the macro level – like what consumers are going to purchase, how they plan, anticipating demand, etc. is badly broken. And it has been since March 2020. Here’s why. By its very nature, forecasting and predictive analytics rely on historical data. The more stable…
AI struggles with low probability. When you understand the inner workings of AI – namely, that it’s always trying to predict the highest probability sequence, as a prediction engine – then it becomes logically clear that AI struggles with generating low probabilities. Doing so goes against its very nature, the way the system is designed.…
Things never vanish. They do go into a state of decline, and that decline can be non-viable economically. For example, I own a bread machine. Do I still buy bread? Yes, but not as much. Bakeries still exist, but their profit margins are more constrained than they would be if bakeries didn’t exist. Theater still…
“Garbage in, garbage out.” This truism from the earliest days of computing is still true. In fact, it’s more true than ever; generative AI models are built using massive amounts of data. And not all that data is good. When we talk about hallucinations, or weird outputs, or models doing unexpected and unwanted things, certainly…
You still can’t measure brand strength in AI. Ashley Faus pointed out this morning on another post that a company is claiming to measure your brand strength/presence in AI. Unsurprisingly, the claim was not accompanied with a peer-reviewed dataset or methodology, or even a preprint paper. Let’s review why this is impossible today. Models are…
