Large data needs to establish rules and standards

Today ushered in the third phase of big Talk, following the first issue of the invitation http://www.aliyun.com/zixun/aggregation/1806.html "> Negroponte, after the second invitation Bielensen, The presenter of this invitation is known as the godfather of wearable equipment, the big data top expert Alex, Puntland, the theme for "Big Data building a better world".

Professor Puntland, who presented the concept of wearable equipment in the 90 's, has a reputation for large data, but his view of big data is somewhat conservative in the perspective of the Internet industry. Because he is most praised for several research directions is not the application of large data, but personal data collection rules, large data security and privacy. But it doesn't look like much of a big data development priority for us, and it doesn't prevent him from becoming a leading expert in the Big data field.

Puntland students in the cattle, have invented Google glasses, but also invented facial recognition technology. Puntland himself is more interested in making rules for large data collection and application, setting standards, and even providing various advice to political and economic figures on such important occasions as the 9374.html "> World Economic Forum", and it can be seen that the rules and order of large data are the subjects that he values more. It seems a bit Shong in the current frenzy of large data across society, but no one is sure that it is not necessarily a high issue in a few years.

Like the chef who likes to cook but does not eat, Puntland as a wearable device godfather, he does not wear wearable equipment. Despite the lack of clarity, his disdain for a variety of wearable devices from the IT world can be clearly perceived. At the time of eating he had expressed the meaning: do not believe that the existing wearable equipment, the future of large data with no slightest relationship. And in the live video of a variety of commonly used wearable equipment in the market test, the results are indeed consistent with their attitude, all the equipment added to the test has not been spared exposure to the deviation of the data, the appearance of a good millet hand ring error rate unexpectedly reached 15%.

Puntland these devices as simple, inferior, and his own standard of wearable equipment, is completely user-oriented. He thinks, those equipment light can the person's pace and heartbeat frequency to measure, essentially is useless, the user needs to let these equipment tell oneself, today his body is good and bad, have what lack, how to carry on recuperation and so on. What he said was a scene we had never seen before, and I think it was a product of wearable equipment and a combination of big data, which unfortunately hasn't been available yet.

Four stages of large data collection, storage, analysis, application, the current level of development seems to remain in the acquisition phase, but there are differences. Big companies like to mix reasonable demands and ego claims, and then come up with things, their thirst for data is greedy, can not wait to collect all collected, and then realize the data exchange, and finally achieve the commercialization of products.

However, the problem to be noted is that data collection and use should still be bounded. Take bat For example, Tencent chat record as a large data sample, Ali the transaction information as a large data sample, Baidu's unauthorized crawl of non-public information as a large data sample, from the legal theory is that there is a certain risk. The ownership of personal online information is not a problem in the past, and the future will certainly be a problem.

Puntland for this solution, it is more humane, based on the user perspective to consider the problem, less consideration of business factors. He believes that everyone has the right to use their own data, choose to enter or exit the network, or choose whether to share with others. Only users of data application and security at ease, do not think there will be any problems, will have real big data.

In fact, it is easy to understand the meaning of these words, large companies to capture data is active, and users of data collection is passive, which for a future large industry, it is not a problem. There is a scene in the British micro-film "Black Mirror", after one person died in a car accident, the system automatically collects people's speeches and shares on various social networks, similar to human flesh search, and then imitates their language based on these data, and then achieves the effect of dialogue between Yin and yang with the surviving widow through lifelike analog voice. The scene is quite shocking and worrying.

If the big data is applied to this point, there will inevitably be undesirable consequences, which will undermine the development of the large data industry. What Puntland says is that you let users choose their own personal data applications and give them the initiative, which is what's good for big data development.

For example, if a user thinks his or her body data has no privacy issues and you give him the right to quit, he will take the initiative to upload you more quality data that the company wants to collect through technical means and not collect. Wearable equipment combined with this combination of user rights can only achieve the desired effect in his mind.

I've always had a view that predicting the future through big data is an unreliable thing, no matter how advanced your technology is, how efficient IT equipment is, which is essentially a violation of the law of conservation of energy, such as perpetual motion, which can never be realized. But beyond predicting the future, big data can actually do more than we think, like oil-fueled energy revolutions, which can have a big impact on future human life.

It is a matter of deep thought that this matter needs to be advanced in order or barbaric. Due to the different data dimensions, cultural habits, the future development of large data to the application stage, there will be a serious phenomenon of different steps, distortion, the key to solve this problem lies in rules and standards. Setting rules and standards for big data seems to be exactly what Professor Puntland really yearn, because he knows it could affect the future of a revolutionary industry.