First of all, precise customization.

Mainly for the supply and demand sides, to obtain the demand side of the personalized needs, to help the supply side of the positioning target, and then based on the demand for the provision of products, and ultimately achieve the best match between supply and demand.

Specific application examples can be summarized into three categories.

One is personalized products, such as intelligent search engine, search for the same content, everyone's results are different. Or some customized news services, or online games and so on.

The second is precision marketing, which has now become more common Internet marketing, Baidu's promotion, Taobao's webpage promotion, etc., or location-based information push, when I arrive at a certain place, it will automatically push the neighboring consumer facilities and so on.

The third is site location, including the location of retail storefronts, or the location of public **** infrastructure.

All of these are through the big data analysis of user needs, and then the supply side to provide relatively customized services.

The second direction of application is prediction.

Prediction is mainly around the target object, based on its past, future factors and data analysis, so as to make early warning, or real-time dynamic optimization.

From the specific application, it can also be roughly divided into three categories.

One is the decision support category, small to the enterprise's operational decision-making, securities investment decision-making, the medical industry's clinical diagnosis and treatment support, as well as e-government and so on.

The second is the risk warning category, such as epidemic prediction, disease prediction for daily health management, operation and maintenance of equipment and facilities, public **** security, and credit risk management in the financial industry.

The third is the real-time optimization category, such as intelligent route planning and real-time pricing.