Cuixiaobo introduction, "TalkingData is a data-based company, we now cover a wide area, both financial, including banks, brokerage, insurance, including private banks, but also real estate, retail, fast consumer, aerospace, government, etc. , Relatively speaking, more companies across the industry on the consumer finance this fact we see it, because we serve a lot of financial companies, we serve these financial companies both traditional banks, including its network of credit card Department, there are Internet companies. "

Cui Xiaobo believes that big data is mainly applied in two aspects, the first one is the law of big data model. Some time ago, we have done with a model of internet finance to verify that, including the pattern of trustworthy people and trustworthy is basically similar, with this basic correlation, we do marketing strategy, including the scale of wind control, are with this big data Related.

The second is in the cross-border itself. Cui Xiaobo pointed out that, in fact, the data should not only be in consumer finance, but should be in the field of consumer finance is to study people. People have many attributes, both financial attributes, but also many other attributes. We tried to group users with several credit card banks in 2014, trying to cross credit card users to game users and redeeming some of the game currency with some credit card points, and you find that the effect is very good and the awakening of silent customers is very obvious Effect.

With regard to the application of biometrics in consumer finance, Cui Xiaobo believes that this is a particularly confusing concept that includes a variety of technologies under this heading. "Originally, we now see more mature applications are the image contrast, more or even portrait matching technology, and the actual smart products which are also more used inside. Because of the depth of learning technology, in itself is logically flawed Basically, when we look at the crowd, one million people can not judge the face.

"The second is that we are now studying two directions, from the image, the first is the emotion, we in the big time area, the sentiment index of people in the region to collect the second is the fire data and social data The third is in other commercial uses, as we used to focus on face recognition, but now in the retail industry, more are doing some clothing style, such as shirts, shirts or some other test. Cui Xiaobo further said.

He said that TalkingData has a lot of cooperation with industry organizations in the use of artificial intelligence to explore very mature applications, or we think this is a particularly promising application. But overall, the whole industry still did not find the direction of the problem, basically can not see the future of artificial intelligence. "Including the top Stanford team now also showed me a magic mirror, a bit like the make-up or distortions on the Web redrod on the air, and I saw another, perhaps of little commercial value, Using the image and depth of learning to pick the apple, by judging the distance between apple and foliage, and then there will be a robotic arm will pick the apple because the United States Apple detection is more stringent, sticks can not fall, but also can not have any traces And the length of the rule is still relatively mature in these fields. "

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