Council Post: Three Reasons Why Artificial Intelligence Wins With Specialization

Dr. Steven Gustafson is Noonum's CTO and an AI scientist, passionate about solving hard problems while having fun and building great teams. When I began learning about artificial intelligence (AI) and machine learning (ML), it was from the perspective of trying to help very smart people do challenging tasks. This is opposed to learning about an AI algorithm and trying to see how far I could push it for the sake of science (which has its own merits) and then searching for an application in the real world. Some early examples of AI systems were for fire prevention on naval ships, predicting component failure causes in jet engines and classifying reasons for claim denial by health insurance companies. Some lessons I learned were that smart people solve these problems every day, so an AI system needs to augment their intelligence and not provide a poor replacement for it.