Internet of Things and artificial intelligence urgently need to overcome those technical difficulties

In the next 50 years, the Internet, Internet of Things, artificial intelligence can not be the technology is what? Big data application! Big data refers to a massive, high-growth and diversified information capital that needs to be collected, stored, managed and analyzed for the purpose of serving major decisions and needs new data processing methods.

   First, what is big data?

Big data refers to a massive, high-growth and diversified information capital that needs to be collected, stored, managed and analyzed for the purpose of serving major decisions and needs new data processing methods. The strategic significance of big data is not to have a huge pile of data, but rather to process and excavate the data to discover its laws and values ​​so that data users can make correct decisions and directly apply it to the business operations. To achieve the value of the data.

Big data with large scale, high frequency, real-time response, always online and full sample, multi-dimensional, unstructured features, with the traditional data processing incomparable advantages. In dealing with the type of relationship between things, big data can handle the causal relationship, but also deal with the relationship, and even can reflect some irrelevant hiding phenomenon.

Second, big data interesting

Beer and diaper

Wal-Mart supermarket big data analysis found a phenomenon, beer and diapers often appear on both sides of a small ticket. It turned out to go to the supermarket to buy diapers for his father, usually by the way to buy a can of beer. As a result, Wal-Mart made a decision to adjust both beer and diaper products to adjacent locations to facilitate the purchase of dads. As a result, the user experience is better, two kinds of goods sold more.

2 underwear and prodigal

Another interesting thing is that in the summer of 2014, Ali data analysts analyzed data on sales of underwear and found that 65% of B-cup female customers belonged to low-cost customers and C-cup and larger cup female customers Mostly belong to the middle or high consumer spending. In short, women who buy large lingerie are more "runners" than women in smaller trunks. This conclusion came out, the public outcry, we have an intuitive understanding of the actual application of big data.

In fact, think about it, there is a certain truth, big breasts women have more options in the evolution of mankind, and men are more inclined to choose to look healthy, reproductive ability of women, chest or not is the standard of judgment one. So big-bodied women are more likely to marry men who are more able-bodied and naturally have stronger consumer desires and spending power. Big Data so quickly revealed the human genetic code.

In Taiji's new book, "The Great Internet Model," the big data strengths have been described.

Third, what are the advantages of big data analysis?

Highly intelligent

On the one hand, to achieve the collection of information, analysis of intelligence; the other hand, to achieve data and user needs an effective match.

Customers want to buy a man in the winter, landing e-commerce platform, enter the "men" keyword, and then pop up on the men's product page, the customer clicks, enter the product details page, this process will be e-commerce platform detailed record Down into the database, including product information, product preferences, stay time and more. After the background analysis of its search behavior, that the user or his relatives and friends have the need to buy men's clothing, and then the system will follow-up users in the process of Internet access, automatically push the men's product advertising page to the user screen, prompting the user purchase behavior.

More timely

Traditional market research or censuses require face-to-face offline statistics, spend a lot of time, go through rigorous and tedious calculations, and get big results quickly through big data analytics.

The cost is lower

The traditional research, statistics, analysis and management methods need to consume a large amount of manpower, material and financial resources, and have significant cost advantages through big data processing. For example, the cost of obtaining a questionnaire is at least two dollars, including printing costs and gift costs, and research through big data may only cost a penny.

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