A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Data scientists consider business metrics more important than technical metrics – yet in practice they focus more on technical ones. This derails most projects. So, why? Predictive AI offers ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A mid-week dialogue about some questions readers have been asking ...

Vladimir Sainciuc  For decades, automotive recycling has been treated as a yard-based business: buy the vehicle, dismantle it ...