10 Practical Tips for the Successful Adoption of Your Machine Learning Products

Hands-on tips for companies to build Machine Learning Products that are being adopted by their users and customers. The biggest difficulty for products based on machine learning (ML) will be user or customer adoption. How did I come to this conclusion? A top executive of one of the biggest European insurance companies told me: "We have the money and technical talent to build sophisticated ML-products, but we do not know how to make users adopt those products. We spent millions of dollars on an ML-based app but only got around 300 users. We do not understand why people do not want to use our app."