Why applied AI requires skills and knowledge beyond data science
Every year, machine learning researchers fascinate us with new discoveries and innovations. There are a dozen artificial intelligence conferences where researchers push the boundaries of science and show how neural networks anddeep learning architecturescan take on new challenges in areas such ascomputer visionand natural language processing. But using machine learning in real-world applications and business problems—often referred to as “applied machine learning” or “applied AI”—presents challenges that are absent in academic and scientific research settings....