Embrace the big data age and simplify complex things

Alex Pentland introduced large data-related theories to the participants. Photograph: Yang

International online news: "Big data to open the big future" as the theme of the Baidu "large Talk" Phase III activities held in Beijing August 31. Director of the MIT Human Power Laboratory, wearable equipment pioneer, 9374.html "> World Economic Forum Large Data Development Report and co-founder of the Personal Data report Alex Pentland (Alex Pentland) made a series of lectures on" wearable equipment and large data collection ". and the exchange and discussion with Chinese experts.

Big Data is no stranger to many people, such as by analyzing the path to the bank card's consumption and the location of the data, some chain operators can know which stores can be merged, which stores need to be revoked, and where to open new stores. But the four characteristics of the current large data are large scale, fast change, variety and low value density. Professor Puntland believes that with the development of large data technology and the improvement of network security technology, large data will bring us a more convenient and colorful future world.

On April 24, 2014, Baidu Technology opening day, Baidu chairman and CEO Robin Li appeared and launched a large data engine Baidu. Large data engine will be Baidu in large data data, capabilities and technology open to the industry, the industry can close to the big data feast, Baidu has found a new growth point.

Baidu large data engine is divided into open cloud, data Factory and Baidu brain three parts. By packaging infrastructure capabilities, software system capabilities, and intelligent algorithm technologies, Baidu is open to large data engines, and businesses with large data can access their data to the engine for processing. At the same time, some enterprises in the absence of large data, can also use Baidu data and large data results.

Many government departments have huge amounts of data--the transport sector is connected by cars, Internet, network monitoring, ship networking, terminal station monitoring and other places of large data, the health department has a statutory influenza report data, national influenza-like case sentinel surveillance and pathogenic monitoring data, the Public Security Department has a large number of video surveillance data. If these data and Baidu's search records, the whole network data, LBS data combination, in the use of large data engine Baidu large data capabilities, you can achieve intelligent path planning, capacity management, influenza prediction, vaccination guidance, security and so on.

Many companies also have huge amounts of data, but they have almost no capacity for large data, but they are helpless to sit on huge numbers. If we can apply the large data engine of Baidu, it can carry out reliable and low-cost storage of massive data, and carry out the value mining of intellectualization. In the Baidu technology opening day, China Ping An introduced how to use Baidu's large data capacity to strengthen consumer understanding and forecast, subdivide customer groups to develop personalized products and marketing programs.

Can be seen, the input of large data engine is actually Baidu has large data and the industry has large data, and output is a variety of industry applications, that is, the "value of large data."

Some insiders believe that large data may be defined at some point in the future: The true restoration of the human world, and the constant gratification of any of our desires, once we relied upon it to make decisions about something, and now we rely on it to get directly to what we want to do, and all our actions have become part of our decisions.

Richard Saul Wurman, the founder of Ted, known as the "Father of Information architecture", argues that the analysis and use of large data should be further Wurman defined as "big understanding". In his view, although many people today mentioned "information explosion", but in fact, in many areas of human understanding of the data is not in-depth, such as in urban information, finance, medical and other fields, data can help us to make complex things easier.