On AI Industrialization Dilemma and the Inspiration from Database Standardization

This year, the controversy about AI industrialization has become a hot topic. There are not only negative phenomena such as criticism of AI "research results are hard to break through in academia, and also difficult to commercialize in industry" from academia, AI scientists leaving the industry and returning to academia, but also positive encouragement from the successful listing of a number of AI unicorns.So, is there an opportunity for AI industrialization? And where are the opportunities? On these industry hot topics, Yuan Jinhui, the founder of OneFlow, launched a systematic elaboration in the QbitAI live. In previous years, society was crazy about AI. For example, there were discussions about the coming singularity, AI replacing humans, and fully automated driving by 2020.