Big Data Age: Large data applications can be seen everywhere

Big Data is an opportunity for change that everyone wants to seize. Whether it is a giant or a small entrepreneurial team, all want to occupy a place in the early changes in this very change, the name, nuggets, seize the right to speak.

As Xie, a well-known it commentator, says: "Big data can be an era, in many ways because it is a social movement that can be widely participated by all sectors of the community, eight-pronged attack, everywhere results, not just a handful of experts and scholars." Data generated in all walks of life, this change will also affect all walks of life, therefore, opportunities are contained in all walks of life. People who are committed to it startups are looking at the market and looking at every opportunity.

If cloud computing mainly provides a strong background computing power, to the public, can not see touch, so large data is closely related to people's lives. Large data applications can be seen everywhere.

Large data and public security

In the future, big data will become a part of the social infrastructure, like highways, tap water, electricity, as an integral part of people's lives. But the role of large data is not limited to providing ordinary consumers with the necessary services for life, but also can effectively assist the public security departments to provide services. The efficient use of data and the service of society require the openness and sharing of data.

The April 15 Boston Marathon bombing killed 3 people and injured many others. The FBI collected about 10TB of data near the crime scene after the Boston Marathon bombing. Although reports of "locking and arresting suspects" through large data have been denounced by the FBI and the Boston Police, the future of large data analysis technology is well established, with a sound social media specification and information sharing mechanism, data sources and quality, and the use of large data to lock up suspects will be simple and efficient.

The use of large data can also prevent and combat crime. The University of Michigan, which published a report online, said the researchers were using "supercomputers and a lot of data" to help police locate the most vulnerable areas of the offending sector, using large amounts of data to create a hot map of Boston's high crime area. When studying the crime rate in a particular area, they also listed various factors in the neighboring areas as the object of their consideration. With more and more data being added to the study, the researchers believe they can get more accurate conclusions about how the extra variables affect crime, and support the police in targeting more targeted crime-prone spots and capturing fugitives.

Large data development and application also help to improve the disaster relief system. 7 21 Beijing rainstorm occurred, because of the large number of people, rescue calls were shot, the trapped personnel can not get help from the official, and thus to the microblogging platform. A micro-blog that contains the characters, time and location of the three elements can quickly understand the needs of the rescue, open the micro-blog additional coordinate data to achieve map positioning, in order to facilitate timely relief. Yaan earthquake, in addition to micro-blog highlights the new media dissemination advantages, micro-letter group and the major Internet companies launched by the search platform for disaster relief provided multi-channel support. But the data of the major websites are not interoperable, and the low precision and inefficiency of the data become the biggest disadvantage. To maximize the value of your data, data must be online, open, shared, interconnected, and relevant. It can be seen that the disclosure and sharing of data is a necessary and needed solution.

Practice representatives: Governments

Large data and health care

"Personalized Care" and "quantification of the Ego" is the recent comparison of the fire two words. In the big data age, people will monitor their own health data for a long time, "prevention" is more important than "treatment", and physicians will give individualized treatment by analyzing the patient's historical data.

Using the method of large data analysis, we can analyze the human genome sequence, get the probability of the fund mutation and avoid the occurrence of the disease in advance. According to People magazine, Oscar's best actress, Yangilina Zhu Li, has a 87% chance of developing breast cancer and a 50% chance of developing ovarian cancer. In the middle of May, Julie underwent a double breast mastectomy and recently removed her ovaries to reduce the risk of cancer.

In the area of personalized medical care, Connow will be able to collect and monitor the wearer's blood pressure, heart rate and so forth this year, and upload the data to the cloud background, analyzing the wearer's data to predict its health and the likelihood of a future disease. If the data is abnormal, you will receive a phone alert, or even a corresponding solution.

In addition, GE and Intel are jointly developing a large data "magic blanket" project that uses a home carpet sensor to sense the speed and pressure of an elderly person who is not cared for, and sends an alert to a loved one if the data is abnormal.

In addition, the use of large data technology can also develop tailor-made fitness programs. Thump Hand ring is the first portable wearable device based on the development of Baidu Cloud, the main "motion status Reminder", "Sleep Monitoring", "intelligent Silent Awakening" three major functions. Famous sports brand Nike also launched the "Nike" Running shoes, through the wireless Nike+ipod movement components and the ipod to realize the exchange of information, the Nike sneakers and ipod connection, the ipod can store and display the date of movement, time, distance, calorie consumption and total movement times, exercise time, Total distance and total calorie data.

At present, the application of large data in the medical field can be described as a brilliant wind, many schools of thought, we all saw the opportunity in this field, and want to share, just because of infrastructure, user habits, laws and regulations, and so on, there is no very successful case.

Practice representative: Connow, plump hand ring, Jawbone up

Large Data and entertainment

In the big data age, as long as you surf the Internet and use social products, no one knows you better than the merchant. You may not have considered your favorite movie star, favorite type of film, whether you like to watch movies at home or the theater to see, but the business has the data you know. In the future, no matter how different your tastes, how picky you are, you can certainly find something that matches your own entertainment. Because your historical data will tell you the existence of a group of people like you. Profitable things will be done, and any market gap will be filled as long as it is discovered.

The success of the card house has benefited to some extent from large data, and its producer Netflix says it has been a long time since the "Big data" on its user behavior has been tapped, and the card house is the first strategic use of its data analysis results. Through data analysis, Netflix is even more aware of their viewing preferences than viewers. The site, based on behavioral data from 30 million North American users watching video, speculated that the key elements of a play could be the intersection of Spacey, Fincher and the BBC, and that they could succeed, creating a "card House".

A punk band called Bear Warrior designed a device called the "pogo thermometer", the intensity of the audience's steps can be detected by a series of sensors installed in the carpet of the concert hall, then the signal is sent to a central computer, and the central computer is then analyzed and studied, Help the band improve their deductive style. "The data can help us understand how we can improve our deductive approach and let the audience respond to our music work as we wish," the band's lead singer said. ”

In addition, Microsoft Research computer expert David Rothschild, who predicts the Oscar winner through data analysis, said: "I predict that the Oscar winners ' methods are exactly the same as those for predicting other things, including politics. Focus first on the most effective data and then create a statistical model that is not interfered by any particular year's results, and all models are tested and calibrated based on historical data, and we are patient when modeling to ensure that the model accurately predicts the results of the external samples, not just the results of the past. The models we create are used to predict the future, not to predict the past. ”

May 29, JJ Lin, "because of you in the" micro-film full version through the QQ music exclusive debut, this through the series of micro-film Promotion album online Marketing method is the record field of new attempts. I believe that the user will open the connection, whether all read, detailed watch which clips, where fast forward or pause and so on and so the data would eventually be collected and mastered by Warner Records to analyze user preferences and provide a scientific basis for the production of the next album.

Practice representative: Netflix, le-View TV

Large data and agriculture

One of the drawbacks of market economy is lagging behind, which has the biggest impact on the three industries is agriculture. Because under the market economy condition, the agricultural production is difficult to form the unified plan in the national scope, causes the agricultural production to be affected by the market fluctuation to be quite big, moreover agricultural production many aspects relies on is the feeling and the experience, and does not have the quantification data support. Large data era, not only through the establishment of a unified data platform to regulate agricultural production, but also to record the analysis of agricultural products in the process of data, through the analysis of data, decided to water, fertilization, lighting, temperature and other conditions, so as to increase production.

Chain-type Community fresh supermarket M6 8 years ago began the data management, goods once the cashier scan, the headquarters of the server can immediately know which stores, which consumers buy what. M6 free for customers to deal with the real-name membership card, users can enjoy the card checkout, but M6 do not change, as a result, can improve the efficiency of the cashier, but also provide the basis for data analysis. In some details, M6 's cashier module is even more detailed than some big business, for example, after the information was scanned into the system, the customer suddenly asked to return one or several pieces, or the whole single return, why to return, all of this information is written to the background database. 2012, M6 's server began to collect weather data from the Internet, then, from the first day of the Chinese Lunar New Year began to calculate, analysis of different solar terms and temperature, the customer's fresh buying habits will occur what changes.

The "capital city" of Gongqi County, Japan, has begun using clouds and large data for agricultural production. Through the sensors, cameras and other terminals and applications to collect and capture the various indicators of agricultural products, and the data into the cloud for real-time monitoring, analysis and management. Fujitsu and New-Fu are working together to reform cabbage production. Two companies have installed built-in camera sensors in farmland. The daily temperature, humidity, rainfall, farmland images stored in the cloud. They have also distributed smartphones and tablets to farmers to keep track of work results and spot-noticed problems and to keep them in the clouds. 30% increase in cabbage, photosynthesis also achieve IT management

Practice representative: M6, Fujitsu, New FU

In fact, large data are closely related to transport, finance, manufacturing, education and business. The second phase of "Big data China" will focus on the Cross-border whirlwind of Big Data, inventory, analysis, review of large data in the medical, financial, business, education, manufacturing, agriculture, transportation, weather, entertainment, electric business logistics and other 10 areas of application development and practice, please pay attention, and welcome to submit and contact interview.