The second is that he is doing AI (artificial intelligence) entrepreneurship, and he started his business when AI was not hot in 2012. So, with regard to the development of global AI and AI entrepreneurship, I think Zhu Xi should have a lot of interesting information.
Because Zhu Xi was in Shanghai, the first appointment was a telephone interview, but the effect was not satisfactory. When Zhu Xi traveled to Beijing, he had a face-to-face interview. The AI ​​(artificial intelligence) industry talks were exchanged 30 minutes before the interview. The core message given by Zhu Xi was that this round of AI boom was brought about by deep learning, other AI methods, techniques, and genres. When it passed, it even included IBM's Watson system, which has achieved a lot of commercial success, and did not enter his "eyeball."
This is in line with the previous point of view on his telephone interview. I do not fully agree with Zhu Xi’s view that the current general AI technology does not appear, and that any genre has its own field of goodness, considering that it depends on the cost and efficiency of solving the problem. Based on this, I would like to continue exchanges on the topic of industry and the AI ​​genre, and there is no other answer.
He decided to stop the AI ​​industry and shift the interview to Zhu Xi's entrepreneurship, because the best proof of any viewpoint is to see how it solves the problem. Intution Technology just took tens of millions of dollars in round B financing, from Angels' real money fund, A round of Sequoia Capital, Gaochun Capital, to B round of Yunfeng Fund, etc., are not more money and nothing to do casually The owner of squandering, investors will not only look at Zhu Xi's education background and cast a second shot. What can Zhu Yi and Yi Tu who have AI entrepreneurship survive?
Where is the "pain point" of the market?
It is both inevitable and accidental that Zhu Xi first entered the public security field. For entrepreneurs, how to turn a seemingly fleeting, accidental flash in front of one's eyes becomes inevitability, and it is critical to grasp it.
In 2012, AI was not hot now. Although in 2010, IBM's AI system Watson had beaten humans to win the championship on the American TV "Edge Game" program, it has not attracted the attention of the entire nation like Google's AlphaGo and Li Shishi's chess this year. In the Yannlecun (FaceBook artificial intelligence laboratory director) laboratory research in the United States, Zhu Xi still smelled the breath of "AI will come."
Although many students at the time graduated to Wall Street, Zhu Xi could also be a professor after graduating from Ph.D., but Zhu Xi still decided to return to China and found Lin Chenxi, a classmate who was the technical director of Alibaba Cloud at that time, and was preparing to start a business together. Because Zhu Xi thinks that he has done so many years of machine vision research, in order to create value, he has to put it into concrete business application scenarios to create value by solving practical problems. It is usually the best way to turn an ideal into a reality and be a company and solve problems in a product-oriented way.
Asked why Zhu Xi thinks that the industrial application of machine vision has already met the conditions in 2012. He did not logically give the logical answer of “the accumulation of data, demand, and matured algorithm technology†and so on. He only said that although deep learning was not yet accepted by the industry. The industry is widely used, but there is a feeling that it is very close to and very close to industrialization. "It's that kind of feeling."