GE: Success of AI systems tied to engineering, not algorithms

AI systems are hard to maintain and need an engineer's touch, according to Jeff Erhardt, vice president of intelligent systems at GE. Building AI systems is less an algorithmic challenge and more a software engineering challenge, according to GE's Jeff Erhardt, vice president of intelligent systems. Like other types of enterprise software, AI systems have to be secure, robust and scalable, especially in the industrial space where inaccurate recommendations could have catastrophic consequences. For that reason, AI and machine learning aren't thought of as traditional data science endeavors at GE, as Erhardt explains here.