CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

As last honored guest that appears on the stage to make a speech, begin of Dr. Liu Jiren expresses humorously namely, he is from academia " degenerate " to commerce. He this report theme is " encounter commercial pattern when data " .

In the report, he shared himself from the perspective of commercial application shirt-sleeve to technology and commercial pattern reflection and practice.

The future that is aimed at big data develops a tendency, he puts forward as follows at 5 o'clock: The first, the confluence of individual and trade data; The 2nd, the platform of technology and tool is changed and gain ground; The 3rd, the commercial space of pure technology is less; The 4th, the industry application of big data is more valuable; The 5th, data + algorithmic + domain knowledge + commercial pattern cannot be broken up.

He expresses, " thinking of art of new learning of society of technical researcher need, did not come from what big data has an insight into in industry application truly trend. " the speech content that is him below.

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

My report theme is " encounter commercial pattern when data " , attendant today have a lot of professors, doctoral student, still have a lot of researcher, I hold the position of a professor in the university before, a lot of research were done in the school, later " degenerate " went business circles. In these year in course, I think learning considers those who cut to developing with the society is impartible in fact, when undertaking learning chooses, if choose a fault direction, what can become lifetime is sad.

Want to have new research thinking

Cite a case, speak of big data, everybody can speak of memory, speed, algorithm, calculate force to wait, but if we cannot understand big data to be opposite to the regulation of social value, society,pattern of the tie of big data, trade is mixed the ethics of the relation between data, data and the art that get data, your research is cadaverous certainly, because you do not have method,value is shown in rich world. The production value that a moment ago Li Guojie academician speaks of big data is lower, do not mean the number that undertakes this respect studies little, because we are restricted by a lot of elements.

Will analyse technical fortune above all, attendant the person that undertakes learning studies, know learning considers to also have lot rear certainly, artificial intelligence, big data, super computer, intelligence is calculated these are not new things. When I read a graduate student, most research direction of fire is computer network, VR, artificial intelligence, also one part person pursues the research that natural language understands.

I am in the United States in those days academy of national level technology, we think network agreement of future needs to support safer, complex, reliable service, we made a lot of standards, but arrive all the time today, TCP still dominant network world, the research before this was not used. Undertake when us learning studies so when, must see the trend that the society develops, see future may bear the weight of the platform that you accomplish, and cannot the consensus down everybody. Cheer when everybody when that direction did not come namely, you had better not be done, because too late. When thinking to you when others the research that have supports distrustful attitude, the likelihood is your best opportunity then.

In the times of big data, we should realise fortune comes from above all at what. The research of big data times and the essential differentia of a lot of research that we had in the past depend on an environment, digital society supported big data period, computational cost, memory cost, communication cost is cheaper and cheaper now, platform is richer and richer, network substance is richer and richer, the cost that we get data is cheaper and cheaper also.

But why is the application of big data inferior to anticipating? Internet is the main channel that individual data gets, data is every user initiative those who offer. But the calculation that wants to undertake essence of life allows, support reliable algorithm, want to have individual demand not only, still need to come from the data at the organization.

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

Solve a problem to need the couple of the much source data of high quality and domain knowledge. Speak of data confluence, true confluence is in not just data level, have the confluence of data and data, data and regular confluence, the confluence of data and ethics, still have the confluence of data and commercial pattern. Data is together with commercial confluence only, ability forms a kind of new pattern. What we should surmount is the understanding that logarithm occupies not just, still have the knowledge of pair of other industries.

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

Additional, the thinking way that big data studies also is in produce change, use in data on, need has span technical thinking. Without the data of high quality, with respect to accurate without essence of life application technology. But the data of high quality comes from where, it originates the understanding of pair of knowledge that solve problem domain. Additional, data uses need to open collaboration.

Still see a problem at present, everybody the technology that apt has him, algorithmic, such our papers can differ with others, but in fact, we are changing algorithm and technical platform with rapidder rate, change freely. Big data and artificial intelligence algorithm are in future, it is sufficient and free platform certainly, in this domain, create the vacuum of commercial value without independence almost. The reason is very simple, big data and artificial intelligence have the ability in applying to get perfecting only, in the solution ability obtains value.

In future, no matter be the scholar of this domain, still be the student that learning, of big data domain win the home to come from thinking certainly, thinking of art of a kind of new learning. Cannot construct when you a kind of brand-new thinking when, resemble me most begin what to say, your fortune and this kind of technology does not have a predestined relationship.

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

Big data has very large commerce space. It is the sale with individuation and accurate essence firstly, there is early-warning of prediction of a person's luck in a given year of client of client opinion mining, high end in banking, media industry has content of heat analysis, individuation to recommend, aviation industry has constant passenger to identify, passenger picture; It is to organize efficient operation and risk canal to accuse secondly, have in financial industry prevent con, aviation industry has prevent ill will to occupy, airline ticket price is monitored etc. This is the case that all trades and professions is using big data.

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

When using big data, having a very serious problem is ethical problem. Privacy, fair, safe, society is involved here value, open. In this domain, if can find the combinative place of technology and ethics, it is the development field with did not come to very main certainly. Digital society had covered China's major population, one does not have literate digital society, without digital society of ethics, it is a society that cannot develop continuously certainly.

See the development trend of big data again.

It is the confluence of individual and trade data above all, allow without essence of life without this kind of confluence and apply reliably.

The 2 platform that are technology and tool are changed, gain ground change. This is a big trend.

The 3 commercial spaces that are pure technology are less.

The 4 industry application that are big data are more valuable.

5 it is data + algorithmic + domain knowledge + commercial pattern cannot be broken up.

The value of big now data was not come out by play far, the ability in the process that all algorithm, data is using only becomes more mature.

The station is in east soft angle undertakes reflection to the technology

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

Talk simply east soft practice, talking about us is how to think, how of look upon data. East soft the informatization level that devoted oneself to to drive national economy infrastructure and domain of important the people's livelihood 27 years in the past rises ceaselessly, banner market is had to have in numerous industry rate. Next graphs are the data that we have in China, we provide social insurance service and supportive system for 700 million person, system of our electric power sale pays charge of electricity to provide a service for 400 million person. Have these data what to sense there is? If do not ponder over these data in social level, be no point. We need to have different reflection, it is the reflection that surmounts a technology.

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

It is us below the data in domain of healthy, medical treatment, medical treatment asks to come true with complex ecosystem. Speak of big data when us, be about to speak of health, the hospital can speak of when speaking of health. Medical treatment quality, fair, cost, safe, this is big data the basic problem that should solve in healthy, wholesome, medical treatment.

We should have such logic above all, when seeing these logic, whether the way that finds technical development inside, should find development way, our meeting construction is organized, the range that tectonic artificial intelligence uses, control medical treatment expense to wait a moment with artificial intelligence technology next. We should construct Internet cloud hospital, make more medical treatment behavior move toward basic level from large hospital, we should realize iatrical fairness sex, control the medical treatment cost that rises ceaselessly, implementation iatrical divides administrative levels to serve, establish dynamic health of the individual and medical treatment record, make medical treatment more individuation and essence are accurate.

Data and AI make basic level hospital more powerful, we are OK compose builds cure couplet system, pursue as follows:

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

Surmount a technology to become those who pursue technical research to must choose, if we do not understand a society, do not know modes of life and relation to their environment, do not know other industry, how can we talk about data?

CNCC2018 | east soft group Liu Jiren: Undertake big data considers to want to have new thinking

Talk about new IT view for everybody:

IT makes commodity, consumable, way of life.

IT lost independence, omnipresent, with application setting photograph is accompanied.

The technology enters platform to change, gain ground, fast transmission times, also be the times with platform, technology, free tool.

The person of the technology that use compares technical owner more the way that knows the technology develops.

Technical owner from dedicated become surmount.

Open, shirt-sleeve, collaboration is the main organization part of technical course.

Technical progress speed is accelerated, not right oneself technology is overconfident, application and gaining ground is to detect the important level with banner technology.

Big data is new business prop up, and only the environment in open, shirt-sleeve, creation falls, big data ability has value. Means of traditional education, scientific research and the pattern in the past are different, and those who restrain it is not others, not be this society, be ourselves, whether can ourselves get used to the change of this times, get used to new business, new retail, new science, new scientific research.

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