In the first quarter of 2017, there were several major events in the tech circle. First, the Innovation Workshop announced the establishment of the “Artificial Intelligence Engineering Institute”, and Li Kaifu was the dean. Second, Sun Zhengyi disclosed the situation after the acquisition of ARM at the World Mobile Communications Conference (MWC) for the first time, and expressed his confidence in ARM’s “ruling” intelligence industry in the future. The third is Baidu's establishment of the Intelligent Driving Business Group (IDG), frankly will spare no effort to achieve the driving of the driverless car; Fourth, Samsung acquired the virtual assistant startup Viv Labs; fifth, "artificial intelligence" was first written into the government work report.

In just three months, artificial intelligence has gained heavy blessings from investors, technology giants and the government, which is enough to suggest the momentum of the AI ​​revolution. According to the Wuzhen Index: Global Artificial Intelligence Development Report 2016, an artificial intelligence enterprise was born every 10.9 hours globally. For a time, artificial intelligence entrepreneurship has become the mainstream of the domestic venture capital market, a veritable vent industry.

Li Kaifu, who has always been optimistic about artificial intelligence, expressed his concern in the recent media interviews, "There are some bubbles, some adjustments", and said that the first wave of AI companies and investors will appear early next year.

The rise of capital and entrepreneurs is nothing but optimistic about the commercialization of artificial intelligence in the future. But the real question is, can artificial intelligence entrepreneurs make money? Where are the opportunities for profitability? Which pits can the latecomers skip?

Market layout in the field of artificial intelligence:

According to a statistical report issued by a research institute in a certain field, in 2016, there were 709 artificial intelligence enterprises in China, 2,095 in the United States, and 366 in the United Kingdom. Among them, the United States and Europe are more intensive and more numerous, followed by China, India and Israel.

In general, foreign countries mainly use Google, Facebook, IBM, Microsoft, Amazon, and Intel, while domestic companies mainly use BAT and Keda Xunfei.

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In addition to the technology giants, the maturity of artificial intelligence development conditions has spawned a large number of artificial intelligence startups. As of November 2016, Venture Scanner has divided 1485 artificial intelligence companies into 13 segments, including deep learning/machine learning (general), deep learning/machine learning (application), natural language processing, computer vision/image recognition. (General), Computer Vision / Image Recognition (Application), Gesture Control, Virtual Personal Assistant, Intelligent Robot, Video Content Recognition, Content Aware Computing, Speech Recognition, Recommendation Engine, Speech to Speech Translation.

Among them, the deep learning/machine learning (application) classification is far ahead of the number of about 436 companies, and the number of natural language processing companies is 232.

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