That 'sophisticated AI' your team built to predict employee turnover? It might be an illusion. A very expensive, beautifully back-tested...

Your company is flying blind, and your big data model is the blindfold. A major music streaming service is facing a crisis. Their most...

Your platform’s revenue is strong, but your users are slowly dying inside. Imagine a large marketplace platform. Quarter after quarter,...

Your LLM just cost you a seven-figure fine. It confidently misclassified a critical customer complaint as a simple inquiry, and you had...

This is not a philosophical question. It’s a ticking time bomb of liability and broken trust that most companies are sitting on. There’s...

Let's be brutally honest. Most corporate recommendation engines are stuck in kindergarten. They operate on a laughably simple logic: "You...

Your ML model is telling you a beautiful story. The problem? It's probably fiction. You have a model that predicts customer churn with...

Your team just ran a Regression Discontinuity Design (RDD) to measure the impact of your new scholarship program. The result is......

Your marketing ML model is brilliant at predicting who will buy. But does it actually know why? There’s a dangerous gap between prediction and causation, and many companies are falling into it, armed with the most advanced machine learning tools. They're using a Ferrari to drive straight into a wall. This is one of the most insidious forms of “Doing Data Wrong”: using powerful predictive models to make causal decisions, like where to allocate your marketing budget.