Slow motion, maybe we can continue to subvert the big data.

More often, worthless, repetitive data form a "data dump" similar to the information noise, while valuable information is always shielded from the portal.

The value of data is not generated by the useless information explosion, but through slow data, which can predict the data of personalization. At present, the fire of large data once made it to be outside the cloud, the idea of slow data may bring no small doubts: in the concept of large data after the fire, how to make large data flow before it has universal significance. This "gold mine" excavation is destined to be a revolutionary subversion, and subversion will always be a slow action.

So, how big is the end of the feed?

What is the universal meaning of big data? In the big Data Age book, the author Victor Maire Schoenberg The main thrust of the expression is these two words.

Since Robin Li in this big data discussion takes the intelligent hardware to give the example, then the author also wants this domain to combine the big data to discuss the personal humble opinion.

"Hard + soft + cloud" has been the standard of intelligent hardware, it is obvious that from this industry chain, the large data in the end of the cloud position, the hardware is to play the portal and collector function, through the hardware portal to the Internet world is being strengthened, as the ontology of "I" connect external people, processes, data and things, and the information to the cloud , unloading, storage ... When large data is extracted and activated in an orderly fashion, the result is such an outcome-the "I" of the ontology connects the people, processes, data, and things that are externally accurate and matched.

Please note a few words: prediction, precision, matching. And, the ranking has successively.

Many of the smart devices that are now flooded with health care are looking forward to a pattern in the future of similar EHR (Electronic Tiyatien Records, electronic health files) and EMR (Electronic Jude Records, Electronic Medical Records), From the point of view of hospital management, distributed storage and distributed computing can help to deal with complicated process and realize the informatization of medical industry. From the patient experience point of view, the data purification can be predicted or pre-sentence, like a prescription to provide users with a truly personalized customized analysis.

However, the concept of health and medical care is far from being the same. More realistically, the big data being dragged into the sky faces a grim dilemma.

However, the big data may be called wrong.

"Big data may be called wrong. "What's really interesting is that the data has become online, especially in the internet age, and that anything online is much more essential than" big, "the industry has argued. In Li's mouth, the big data is replaced by two other words: one is "slow", and the other is Li's "new" at the Baidu Alliance Congress.

These two words also hit the pain point of large data. Non-value, repetitive data production and unloading, forming similar to the information noise point of "data dump." Instead, valuable information is still shielded from the entrance.

Where are the valuable new and slow data? As early as this year in the national "two sessions", Li in response to reporters after the meeting to answer the two points of the answer: first, the government departments have a lot of data now do not surf the internet, that is useless; second, even if the Internet, people have not established such a habit of use.

Scholar Liu has elaborated a concept about "concept water level" in his work of the same name: "The change of political system is due to the change of public political idea, and the change of political idea is rooted in the change of people's life concept." When the water rose, the boat floated naturally. "There is a lack of such a" conceptual water level "for big data at home. Chinese society has yet to establish a system of similar positivism.

For example, the big data can rise in the United States as a national level, because the country does have the "use of data to speak" concept. Take everyone familiar with the field of communication as an example, as early as the middle of the last century, communication people-Razasfield know how to use quantitative methods to study the spread of the effect of the problem. Think about China, can you? At least in the relevant humanities, has not yet formed rely on data speech, positivism study of the great atmosphere, this look at the students of the graduation thesis is probably a clear.

What other Karez are you facing?

The lack of awareness of government agencies in the country is also lacking in citizen promotion. Results in the application of data is still at a stage of extreme confidence. In addition, there are several problems that can harm big data evolution:

"Technology is valuable if you want to find valuable data, but it's not the most important thing here." What's the key? The key is domain knowledge (domain knowledge), your experience (experience), and the ability to think across areas. "Li Yanhongru is a word.

This and Lo Zhenyu has been emphasizing the "cross-border" type of talent ideas coincide. In this period of transition from the traditional industrial society to the information society, the boundaries of the two social circles are very clear, which is very important for the evolution of the large data on the networking (representing the information Society).

Robin Li Pro Data in the future demand is slow data, after the author took stock of many of these problems, with subversive creative significance of large data, its application and operation will also be a slow action. In addition to hegemonic interests, systemic ills, subversive technology things also need to break through such as cultural ethics, order norms, such as more difficult lines of defense.

Slow down, faster. Even if someone in the future will be hard to hold the boat, still can not block the future of large data on the magnificent "concept of water level."