big data era: big data applications can be seen everywhere, and big data is a change opportunity that everyone wants to seize. No matter IT giants or small entrepreneurial teams, they all want to occupy a place, make a name, dig gold and seize the right to speak in the early stage of this extremely changing change.
as Xie Wen, a well-known IT commentator, said, "The reason why big data may become an era is, to a great extent, because it is a social movement that can be widely participated by all sectors of society, 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 certainly affect all walks of life. Therefore, opportunities also exist in all walks of life. People who are committed to IT entrepreneurship keep a close eye on this market and gain insight into every opportunity.
if cloud computing mainly provides powerful background computing ability, 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 security
in the future, big data will become a part of social infrastructure, and it will become 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 can also effectively assist public security departments to provide public security services. The effective use of data and serving the society requires the openness and enjoyment of data.
The Boston Marathon bombing on April 15th killed three people and injured many others. The FBI collected about 1TB of data near the crime scene after the Boston Marathon bombing. 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, after the future big data analysis technology is in full swing, the social media norms and information sharing mechanisms are sound, and the data source and quality are reliable, it will become simple and efficient to lock the suspect with big data.
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 criminals, 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 listed various factors in the adjacent area as their consideration. With more and more data added to the research, researchers believe that they can get more accurate conclusions on how the extra variables affect the crime rate, and provide support for the police to more specifically target the crime-prone points and capture fugitives.
The development and application of big data will also help to improve the disaster relief system. When the rainstorm occurred on July 21st in Beijing, because of the large number of people calling for help, the rescue phone was ringing off the hook, and the trapped people could not get help from the authorities, so they turned to the Weibo platform. A Weibo with three elements of people, time and place can quickly understand the needs of rescue, and map positioning can be realized by opening the additional coordinate data of Weibo, which provides 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 the data have become the biggest drawbacks. To exert the maximum value of data, data must be online, open, shared, interconnected and relevant. It can be seen from this that the disclosure and sharing of data is a necessary and unresolved matter.
practical representatives: governments around the world
big data and medical health
"personalized medical care" and "quantitative self" are two popular words recently. In the era of big data, people will monitor their health data for a long time. "Prevention" becomes 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 the human gene sequence, get the probability of fund mutation, and avoid the occurrence of diseases in advance. According to the report of People magazine, Angelina Jolie's gene mutation is the best actress in the Oscar, with the probability of breast cancer as high as 87% and ovarian cancer as high as 5%. In mid-May, Julie has undergone double mastectomy, and in the near future, she will have her ovaries removed to reduce the risk of cancer.
In the field of personalized medical care, the wearable device to be launched by Connaught Cloud this year can collect and monitor the wearer's blood pressure, heart rate, etc., and upload these data to the cloud background. By analyzing the wearer's data, it can predict their health status and the incidence probability 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, the prototype of which uses sensors built in carpets at home to sense the speed and pressure of getting out of bed and walking for the elderly who lack care, and sends an alarm to their relatives once these data are abnormal.
in addition, big data technology can also be used to make tailor-made fitness plans. The Gudong bracelet is the first portable wearable device developed based on Baidu Cloud, featuring three functions: exercise 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 connecting Nike+ sports shoes with 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 has seen the opportunities in this field and wants to share a piece of it. However, due to the limitations of infrastructure, user habits, laws and regulations, there are no very successful cases.
practical representatives: connor cloud, thud 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 the merchants. 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 at the cinema, but the merchants with data already know you like the back of their hand. In the future, no matter how different and picky your tastes are, you will certainly find entertainment that suits you. 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 discovered.
The success of House of Cards benefits from big data to some extent. Netflix, the producer of House of Cards, claims that it 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 3 million North American users when watching videos, speculated that the key element of a drama could be the intersection of kevinspacey fowler, david fincher and BBC productions, and it could 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 in 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. The lead singer of the band said: "These data can help us understand how we can improve our interpretation and let the audience respond to our music works as we want."
In addition, David Rothschild, a computer expert at Microsoft Research Institute, predicted the winner of the Academy Awards through data analysis. He said, "My method of predicting the winner of the Academy Awards is exactly the same as that of predicting other things, including politics. First, pay attention to the most effective data, and then create statistical models that are not disturbed by the results of any special year. All models are tested and corrected 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 exclusively released through QQ Music. This online marketing method of promoting the album through a series of microfilms is a new attempt in the record field. I believe that whether the user opens the connection, watches it all, watches which clip in detail, and where to fast-forward or pause, etc., such data will eventually be collected and mastered by Warner Records, thus analyzing the user's preferences and providing scientific basis for the production of the next album.
practical representatives: Netflix, letv
big data and agriculture
one of the drawbacks of the market economy is its lag, which has the greatest impact on the three major industries, namely agriculture. Under the condition of market economy, it is difficult to form a unified plan for agricultural production in the whole country, which causes agricultural production to be greatly affected by market fluctuations, and agricultural production relies on feelings and experience in many aspects without quantitative data support. In the era of big data, we can not only regulate agricultural production by establishing a unified data platform; You can also record and analyze the data in the process of planting agricultural products. By analyzing the data, you can decide the conditions such as watering, fertilization, light and temperature, so as to improve the yield.
M6, a chain-type community fresh supermarket, started data management eight years ago. Once the goods are scanned by the cashier, the server at the headquarters can immediately know which store and which consumers bought what. M6 handles the real-name registration system membership card for customers free of charge, and users can enjoy the discount when paying with the card, but M6 doesn't give change, which can not only improve the cashier efficiency, but also provide a basis for data analysis. In some details, M6' s cashier module is even more detailed than that of some big supermarkets. For example, after the information is scanned into the system, the customer suddenly asks to return one or more of them, or the whole order is returned. Why do you want to return it? All these information are written into the background database. In 212, M6' s server began to collect weather data from the Internet, and then calculated 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 the production of cabbage. The two companies installed sensors with built-in cameras in farmland. Store the images of daily temperature, humidity, rainfall and farmland in the cloud. Smart phones 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. Cabbage production increased by 3%, and photosynthesis also realized 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 take stock, analyze and comment on the application, development and practice of big data in ten fields, including medical care, finance, commerce, education, manufacturing, agriculture, transportation, weather, entertainment, e-commerce and logistics.