La data drift or how to regain control of your AIs in production (Part 2)

Data drift is a phenomenon that causes Machine Learning applications to become obsolete during the production phase. In this article, we discuss how you can regain control over your projects despite this problem. We saw in previous post that data drift refers to environmental changes that confuse AI and decrease its performance. The concept perfectly […]

Data Drift or the Nightmare of Artificial Intelligence in Production (Part 1)

For companies, putting an Artificial Intelligence application into production is the Holy Grail. Yet a simple and well-known phenomenon threatens projects in production: the natural weakening of their performance, called “data drift”. You’ve heard it many times before, nothing in life, except diamonds, lasts forever. Your smartphone is getting slower and slower (and you have […]