Blog

Explainable AI is not a model type, but a toolkit for finding out what a model is based on. An overview of ante-hoc and post-hoc methods, LIME and SHAP, and what regulations expect from explanations.

Every year, roughly 80,000 young people finish without a secondary-school qualification. In a joint project, using DPMK’s domain knowledge, Microsoft’s technology and Dmlab’s data analysis, we looked at three levels at what data can add: what happened, why it happened, and what will happen.

The six phases of CRISP-DM are not theory, but the sequence in which a data project stays on track. We walk through a bank credit card campaign, show where the time goes, and what has changed in the deployment phase in the age of MLOps.

Data projects do not fail because of technology, but because of human and organisational reasons. The seven most common pitfalls, the seventh success criterion you rarely hear about, and the three steps that can reduce the risk to a fraction.