What industries will big data forecast change?

The arrival of the era of big data is both silent and magnificent. When people have not fully reacted, the era of big data has arrived. With the gradual digitization of the real world, supplemented by endless new technical means and applications, big data is influencing us subtly. With the deepening of the influence of big data, the era of big data visualization is easier to predict, and human life is being profoundly changed by big data prediction.

The forecast of big data magic mirror will have a subversive impact on the weather forecast industry. The granularity of weather forecast has been shortened from a few days to several hours, which has strict timeliness requirements. It is calculated by traditional methods based on massive data, and the conclusion has arrived tomorrow, and the prediction is worthless. The application characteristics of big data forecasting in other fields require higher "timeliness". Weather forecast needs to collect massive meteorological data, and meteorological satellites and meteorological platforms are responsible for the collection, but the deployment and operation cost of the whole system is very high. Before the advent of the Internet, few fields had such data collection capabilities. Mobile Internet is a way to upload data through various devices anytime and anywhere. The cost of each evolutionary data collection is greatly reduced, and the scope and scale are greatly expanded.

Future changes are unpredictable. In the era of big data, what can really be predicted is personal behavior. Computers know themselves better than we do. They can predict what decisions everyone will make in the future. This is why the business community is so fascinated by big data. Accurate prediction of consumer behavior will bring new development opportunities. Based on users' search behavior, browsing behavior, comment history, personal data and other data, Internet merchants can gain insight into the overall needs of consumers, and then carry out targeted product production, improvement and marketing. Baidu's accurate advertising marketing based on users' preferences, Ali's offline customized products based on Tmall users' characteristics, Amazon's prediction of users' click behavior and early delivery all benefit from Internet user behavior prediction.