In the era of big data, big data applications can be seen everywhere.

Big data era: Big data applications can be seen everywhere.

Big data era: Big data applications can be seen everywhere, and big data is an opportunity for change that everyone wants to seize. No matter IT giants or small entrepreneurial teams, they all want to occupy a place, make a name for themselves and seize the right to speak in the early stage of this great change.

As Xie Wen, a well-known IT commentator, said: "The reason why big data may become an era is largely because it is a social movement in which all sectors of society can participate extensively, attack from all sides and achieve results everywhere, not just the research object of a few experts and scholars." Data comes from all walks of life, and this change will definitely affect all walks of life. Therefore, opportunities also exist in all walks of life. People who are committed to IT entrepreneurship pay close attention to this market and gain insight into every opportunity.

If cloud computing mainly provides powerful background computing power, it is invisible to the public; Then big data is closely related to people's lives. Big data applications can be seen everywhere.

Big Data and Public Safety

In the future, big data will become a part of social infrastructure and an indispensable part of people's lives, just like roads, tap water and electricity. However, the role of big data is not limited to providing essential services for ordinary consumers, but also can effectively assist public security departments to provide public safety services. The effective use of data and serving the society require the openness and enjoyment of data.

On April 15, the Boston Marathon bombing killed three people and injured many others. After the Boston Marathon bombing, the FBI collected about 10TB of data near the crime scene. Although the report that "the suspect has been locked and arrested" through big data has been condemned by the FBI and the Boston Police Department, in the future, big data analysis technology will be fully developed, social media norms and information sharing mechanisms will be sound, and data sources and quality will be reliable. In this case, locking suspects with big data will become simple and efficient.

Using big data can also prevent and combat crime. The University of Michigan once published a report on the Internet, pointing out that researchers are using "supercomputers and a large amount of data" to help the police locate the areas most vulnerable to criminal attacks, and use a large amount of data to create a hot map of crime-prone areas in Boston. When studying the crime rate in a certain area, they also consider various factors in the neighboring areas. With more and more data added to the study, researchers believe that they can draw more accurate conclusions about how the extra variables affect the crime rate, and provide support for the police to target crime-prone spots and arrest fugitives more specifically.

The development and application of big data will also help to improve the disaster relief system. When the rainstorm occurred on July 2 1 in Beijing, the trapped people could not get help from the government because of the large number of people asking for help, so they turned to the Weibo platform for help. A Weibo with three elements of people, time and place can quickly understand the rescue needs, open the additional coordinate data of Weibo, realize map positioning, and provide convenience for timely disaster relief. In the Ya 'an earthquake, Weibo once again highlighted the advantages of new media communication, and the tracing platforms launched by WeChat group and major Internet companies also provided multi-channel support for disaster relief. However, the data of major websites are not interoperable, and the low accuracy and inefficiency of data have become the biggest drawbacks. To maximize the value of data, data must be online, open, shared, interconnected and relevant. Thus, the disclosure and sharing of data is a necessary and unsolved problem.

Practice Representative: Government

Big Data and Health Care

"Personalized medical care" and "quantified self" are two popular words recently. In the era of big data, people will monitor their health data for a long time. "Prevention" has become more important than "treatment", and doctors will give personalized treatment plans by analyzing patients' historical data.

Using the analysis method of big data, we can analyze human gene sequence, get the probability of fund mutation, and avoid the occurrence of diseases in advance. According to People magazine, Angelina Jolie's genetic mutation is the best actress in the Oscar, with a breast cancer rate of 87% and an ovarian cancer rate of 50%. In mid-May, Julie has undergone double mastectomy. In the near future, she will remove her ovaries to reduce the risk of cancer.

In the field of personalized medical care, the wearable device that Connaught will launch this year can collect and monitor the wearer's blood pressure and heart rate and upload these data to the cloud background. By analyzing the wearer's data, it can predict their health status and the incidence of a certain disease in the future. If these data are abnormal, you will receive a mobile phone reminder and even give a corresponding solution.

In addition, GE and Intel are jointly developing a big data "magic carpet" project. Its prototype uses sensors built into the carpet at home to sense the speed and pressure of getting up and walking for the elderly who lack care. Once these data are abnormal, it will alert the relatives of the elderly.

In addition, you can also use big data technology to develop tailor-made fitness programs. Glug bracelet is the first portable wearable device developed based on Baidu Cloud, which has three functions: sports status reminder, sleep monitoring and intelligent silent wake-up. Nike, a well-known sports brand, also launched "Nike+" running shoes, which communicate with iPod through wireless Nike+iPod sports components. After Nike+ sneakers are connected to iPod, iPod can store and display data such as exercise date, time, distance, calorie consumption value and total exercise times, exercise time, total distance and total calories.

At present, the application of big data in the medical field is booming and a hundred schools of thought contend. Everyone saw the opportunity in this field and wanted a piece of it. However, due to the limitations of infrastructure, user habits, laws and regulations, there are no very successful cases.

Practical representatives: Connie Cloud, Glug Bracelet, Jawbone up

Big data and entertainment

In the era of big data, as long as you surf the Internet and use social products, no one will know you better than businesses. You may not have considered which movie star you like best, what kind of movies you like best, whether you like watching movies at home or going to the cinema, but the merchants with data already know that you like the back of their hands. In the future, no matter how different and picky your tastes are, you will definitely find your own entertainment. Because your historical data will tell businesses that there are people like you. If something is profitable, someone will do it; Any market gap will be filled as long as it is found.

The success of House of Cards is partly due to big data. Netflix, the producer of House of Cards, claims that the company has been mining the "big data" of its users' behaviors for a long time, and House of Cards is the first strategic application of its data analysis results. Through data analysis, Netflix is even more aware of their viewing preferences than viewers. It is reported that this website, based on the behavioral data left by 30 million North American users when watching videos, speculated that the key element of a play might be the intersection of Kevin spicer Fowler, david fincher and BBC production company, and it might be successful, so it created House of Cards.

A punk band named ulfsaar designed a device called "POGO Thermometer", which can detect the intensity of the audience's dance steps through a series of sensors installed on the carpet of the concert hall, then send the signals to a central computer, and finally let the central computer analyze the signals to help the band improve their interpretation level. The lead singer of the band said: "These data can help us understand how to improve our interpretation and let the audience respond to our music works as we wish."

In addition, David Roth Rothschild, a computer expert at Microsoft Research Institute, predicted the winners of the Academy Awards through data analysis. He said: "I predict the Oscar winners in the same way as I predict other things, including politics." First, pay attention to the most effective data, and then create a statistical model that is not disturbed by the results of any special year. All models are tested and revised according to historical data. We are patient in modeling to ensure that the model can correctly predict the results of external samples, not just the results that happened in the past. The model we create is used to predict the future, not the past. "

On May 29th, the full version of JJ Lin's "Because of You" microfilm was released exclusively through QQ Music. This online marketing method of promoting albums through a series of microfilms is a new attempt in the field of records. I believe whether the user opens the connection, watches it all, which clip to watch in detail, where to fast forward or pause, etc. Such data will eventually be collected and mastered by Warner Records, so as to analyze users' preferences and provide scientific basis for the production of the next album.

Realistic representatives: Netflix, LeTV TV

Big data and agriculture

One of the disadvantages of market economy is its lag, and agriculture has the greatest influence on the three major industries. Under the condition of market economy, it is difficult to form a unified plan for agricultural production in the whole country, which leads to agricultural production being greatly affected by market fluctuations. Agricultural production relies on feelings and experience in many aspects without quantitative data support. In the era of big data, we can not only standardize agricultural production by establishing a unified data platform; You can also record and analyze the data in the process of agricultural product cultivation. By analyzing the data, you can decide the conditions such as watering, fertilization, light and temperature, so as to increase the yield.

M6 is a chain-type community fresh supermarket, which started data management eight years ago. Once the goods are scanned by the cashier, the server at headquarters can immediately know which store and which consumer bought what. M6 handles real-name registration system membership card registration for customers free of charge, and users can enjoy preferential treatment when paying by card, while M6 does not give change, which can not only improve cashier efficiency, but also provide a basis for data analysis. In some details, the cashier module of M6 is even more detailed than that of some big supermarkets. For example, after the information is scanned into the system, the customer suddenly requests to return one or more, or the whole order is returned. Why do you want to return it? All this information is written into the background database. In 20 12, M6' s server began to collect weather data from the Internet, and then calculated it from the first day of the first lunar month in China, and analyzed what changes would happen to customers' fresh buying habits under different solar terms and temperatures.

The capital city in the southwest of Miyazaki Prefecture has begun to use cloud and big data for agricultural production. Various indicators of agricultural products are collected through various terminals and applications such as sensors and cameras, and the data are gathered in the cloud for real-time monitoring, analysis and management. Fujitsu and Xinfu Qingguo cooperated to reform Chinese cabbage production. The two companies installed sensors with built-in cameras in farmland. Store images of daily temperature, humidity, rainfall and farmland in the cloud. Smartphones and tablets were also distributed to farmers, so that everyone can record the work results and problems noticed on the spot at any time and save them in the cloud. The yield of Chinese cabbage has increased by 30%, and photosynthesis has also achieved IT management.

Practical representatives: M6, Fujitsu, Xinfu Qingguo

In fact, big data is closely related to transportation, finance, manufacturing, education, commerce and other fields. The second issue of Big Data China will focus on the cross-border whirlwind of big data, and make an inventory, analysis and comments on the application, development and practice of big data in ten fields, including medical care, finance, commerce, education, manufacturing, agriculture, transportation, meteorology, entertainment, e-commerce and logistics.