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  • Our guest today

  • is amazing.

  • I could memorizeThree Hundred Tang Poems.”

  • You know

  • the nicknames of all the 108 heroes

  • inWater Margin.”

  • I could even memorize

  • the constellations of the 108 heroes.

  • ThePrince of Folk Songs

  • just stands

  • beside Mr. Sa.

  • We had to withdraw although we wanted to recover the Central Plains.

  • Good.

  • He’s Mei Hong,

  • an academician of CAS and

  • the Vice President of BIT.

  • From a young man who loved culture and arts

  • to the leader in the big data field,

  • he’s witnessed the development of informatization in China.

  • I searched

  • ladders online.

  • Before long,

  • the ads of different ladders popped up.

  • I even got

  • some ads of lifts.

  • That’s why

  • some pushes are stupid.

  • What is big data?

  • Big data means

  • a large amount of data.

  • It’s wrong.

  • Online shopping,

  • navigation

  • and finding and killing Osama Bin Laden

  • are based on big data.

  • What’s the use of big data?

  • Can big data analyze stock accurately?

  • Can I get rich

  • by learning big data?

  • Big data

  • is the new engine

  • for economic transformation and growth.

  • What will our life

  • look like in 2020?

  • Realize a well-off society in an all-round way.

  • This is the special series ofVoice,”

  • Foresight in 2020.”

  • Win the college entrance examination and boost the future.

  • Hello, dear audience.

  • This isVoice,”

  • China’s first TV show offering open lectures to the young

  • exclusively sponsored by Yingding Education,

  • the advocate of intelligent education

  • in college entrance examination.

  • I’m your host, Sa Beining.

  • Welcome.

  • Extract plant essence

  • to scientifically supplement both qi and blood.

  • Thanks to Yunnan Baiyao Qixuekang Liquid

  • that is a good choice for staying up

  • for the great support to the program.

  • It’s the first time

  • in five years

  • that we have changed

  • a new stage background.

  • Do you like it?

  • Yes.

  • The new stage

  • carries the new content.

  • Weve specially designed

  • a new series,

  • Foresight in 2020”.

  • What will our life

  • look like in 2020?

  • To what extent

  • will our country and nation

  • develop by 2020?

  • All this depends on

  • every step

  • we take today.

  • Our guest today

  • is amazing.

  • He

  • beats his peers

  • hollow

  • at literature.

  • He can even recite

  • Three Hundred Tang Poemsbackwards fluently.

  • Moreover, he peruses kung fu novels

  • and knows well the master-apprentice relationships

  • in different schools.

  • Allegedly, he’s thoroughly

  • familiar withWater Margin

  • and knows well

  • the nicknames and features of

  • the 108 heroes.

  • Don’t get me wrong.

  • Our guest isn’t

  • engaged in literature.

  • Instead, he’s

  • a pure and pute science geek.

  • He studies

  • big data.

  • Big data

  • permeates

  • in our life.

  • For example,

  • I searched household ladder

  • online some time ago.

  • Before long,

  • the ads of

  • different ladders

  • popped up

  • when I watched the news

  • on the website.

  • Maybe it was because of

  • big data.

  • Our guest today

  • can dispel my doubts.

  • Why did

  • the ads of different ladders

  • pop up before me for a long time?

  • Let’s applaud to welcome our guest,

  • Mr. Mei Hong,

  • an academician of CAS

  • and the Vice President of BIT.

  • Welcome.

  • Hello, Mr. Mei.

  • Hello.

  • Welcome.

  • Hello, Beining.

  • Please.

  • Thank you all.

  • Please be seated.

  • Mr. Mei,

  • it’s said that you know

  • the nicknames of all the 108 heroes.

  • I’ve forgotten almost all of it.

  • Wu Song?

  • Pilgrim.

  • Song Jiang?

  • Protector of Justice.

  • He has several nicknames.

  • Timely Rain.

  • What kind of tiger

  • does Wu Song slay on Jingyang Ridge?

  • It should be South China Tiger.

  • Why?

  • The northeast wasn’t included

  • in the territory of the Song Dynasty.

  • It’s the association of another data.

  • Well,

  • I could even memorize

  • the constellations of the 108 heroes

  • when I was a middle school student.

  • I was interested in it.

  • How about their blood types?

  • The novel doesn’t record it.

  • I was willing to memorize these things.

  • I could memorizeThree Hundred Tang Poems.”

  • I still liked it in college.

  • I ran a poetsclub

  • and a literary club.

  • When I gave a lecture one day,

  • I suddenly changed my thought.

  • I majored in computing.

  • I didn’t need to memorize

  • many things.

  • My cranial capacity is limited.

  • I can’t memorize so many things.

  • So I didn’t

  • memorize things gradually.

  • I focused on

  • abstract logical ability.

  • If I think the computer

  • can help me do something,

  • I’ll give it up.

  • I won’t do it.

  • I just gave an example.

  • I searched ladders online,

  • and then my phone

  • was glutted with the ads of adders.

  • Is it a reflection of

  • the application of big data?

  • The technical term

  • is programmed data trading.

  • Behind it

  • is the push mode

  • formed by computer programs

  • after data interconnection and sharing.

  • It’s fully automatic.

  • Yeah.

  • It’s not artificial.

  • That’s why

  • some pushes are stupid.

  • Something that we don’t want is also pushed.

  • Right.

  • I even got some ads of lifts.

  • Yeah.

  • What’s

  • the problem?

  • When you browse a website,

  • do you agree to

  • push your data?

  • Theoretically,

  • shopping is your privacy data,

  • but to conveniently

  • shop online,

  • you have to

  • upload your data.

  • It’s like news push today.

  • After we read some news

  • on military affairs

  • Yes.

  • or

  • a certain event of sports,

  • well find that

  • there seems nothing else in the world.

  • It’s all about sports.

  • The same kind of thing is pushed.

  • It’s an intuitive feeling

  • brought by

  • the application of big data today.

  • It’s convenient,

  • but now

  • the intelligent

  • push technology

  • has a lot to learn.

  • Big data

  • is an interesting concept.

  • I dare say that

  • many people don’t

  • understand big data accurately.

  • What exactly is accurate big data?

  • What is the status of big data

  • in China now

  • and its future development strategy?

  • Mr. Mei will tell us

  • all this today.

  • Next,

  • I’ll leave the stage to Mr. Mei.

  • Let’s give Mr. Mei a big hand.

  • Thank you, Beining.

  • It’s a great honor to be here.

  • It’s a new stage.

  • This is the first episode of

  • Foresight in 2020.”

  • I’d like to

  • begin with a figure.

  • A figure

  • will occur in 2020.

  • What’s it?

  • 44ZB.

  • It’s a term

  • to describe

  • computing speed

  • and storage capacity.

  • B means

  • byte.

  • What does ZB mean?

  • The 21st power of 10.

  • I’ll draw an analogy,

  • and you can do the math.

  • We listen to songs every day.

  • A 3-minute song

  • will take 10M

  • if it’s recorded in Mp3.

  • If the memory space is Z,

  • how long does it take to listen to all songs?

  • More than 800 million years.

  • It’s a prediction

  • in 2020

  • given by IDC.

  • Let’s look back.

  • What was the global

  • data volume in 2003?

  • 5 million T.

  • What’s T?

  • The 12th power of 10.

  • 1,000,000,000,000.

  • What was the volume in 2009?

  • 0.8Z,

  • less than 1Z.

  • The volume in 2020 will be 44Z,

  • but it was 0.8Z in 2009.

  • How much will it be

  • by 2030?

  • 2,500Z.

  • This is an era

  • in which data grow rapidly.

  • Think about it.

  • Data have been

  • playing a very important role

  • in the development of

  • human society.

  • At the beginning of civilization,

  • people kept records by tying knots.

  • It’s one of the ways of recording data.

  • After words were invented,

  • writings were for conveying truth.

  • It’s also a way.

  • Modern scientific data modeling

  • directly uses data.

  • It’s also a way.

  • I remember around 2014,

  • Xinwen Lianboon CCTV

  • began to use the word big data,

  • like the big data of Spring Festival travel rush

  • and NPC and CPPCC.

  • Back then,

  • the viewers ofXinwen Lianbo

  • got to know this new word

  • in life.

  • However, many people

  • have misunderstandings.

  • For example, for many people,

  • big data means a large amount of data.

  • It’s wrong.

  • What’s the essence of big data?

  • The depth of data mining

  • and the width of application,

  • namely the breadth of cross-border integration.

  • It’s what big data means.

  • I’ll cite the example of

  • the U.S. census in 1996.

  • The number of births

  • in the U.S. census was 4.9 million.

  • This figure is

  • an objective data description,

  • but if we associate it

  • with the data 40 years ago,

  • well find that

  • from the 1950s to the early 1960s,

  • there was a baby boom

  • after World War II in the U.S.

  • It’s called postwar baby boom.

  • Many babies were born back then.

  • The association

  • gives us a message.

  • What’s it?

  • After the postwar baby boom,

  • the golden age of fertility

  • for this group of people has gone.

  • Let’s look back again.

  • In the U.S.,

  • in the 10 years after 1996,

  • or in the 1st decade of the early 21st century,

  • how many junior high school teachers retired?

  • How many junior high school students graduated?

  • Moreover,

  • at that time,

  • tax cuts were needed to curb salary growth,

  • so politicians

  • were under pressure

  • not to let teacherssalaries

  • rise too fast.

  • If we put these things together,

  • well come to a conclusion.

  • In the first decade of the 21st century,

  • the U.S. might

  • face great educational pressure.

  • It was the pressure

  • of baby boom on education.

  • What did it mean?

  • They might have to

  • make new government decisions,

  • and there might be new business opportunities.

  • This is the tremendous progress

  • we have made in human development

  • through data acquisition,

  • analysis and application.

  • What does big data bring for us?

  • Each of us is surrounded by

  • big data.

  • When we shop online,

  • after we place

  • the orders,

  • the owner of the site

  • will gather all kinds of data together

  • and get a huge data pool.

  • Then

  • he can

  • analyze many things,

  • such as our credit

  • and shopping habits.

  • The map navigation

  • we use

  • every day

  • is the traffic-related data

  • from all walks of life.

  • It can tell us where traffic jams are.

  • The gathering of these data

  • brings much convenience

  • to our life.

  • There are many applications of big data.

  • There are many international examples.

  • I’ll tell you

  • a cool example.

  • Palantir is a company in the U.S.

  • It’s a company engaged in data analysis.

  • One of its most proud efforts

  • was to

  • help the U.S. government

  • find and kill Osama Bin Laden.

  • How did it get the data?

  • It collected the data

  • that governments could provide,

  • like his financial data,

  • communication data

  • and social network,

  • to form an entity relationship network

  • and help intelligence officers

  • analyze where Osama Bin Laden was.

  • There are many other successful examples in 2016.

  • AlphaGo defeated Li Shishi.

  • Now we can’t defeat it

  • in Go anymore.

  • The success rate of AI

  • to predict the Academy Awards

  • was nearly 88%.

  • These are some things

  • that we feel directly.

  • What can big data

  • bring to the country

  • and social development?

  • It provides us

  • with a new means or new thinking

  • to understand the real world

  • and complex systems.

  • Big data is the new engine

  • for economic transformation and growth.

  • It’s called digital economy.

  • What’s digital economy?

  • It’s a new economic form

  • after agricultural economy and industrial economy.

  • What the digital economy bears

  • is different from

  • the development of the past decades.

  • Information technology was used

  • more as tools and means

  • in various industries to help them improve quality

  • and increase efficiency in the past decades.

  • In the digital economy era,

  • information technology will become a leader.

  • That is to say, data are the key factors of production.

  • Network is the most important carrier,

  • and the application of information technology

  • is the most important pusher.

  • That’s one of the connotations of digital economy.

  • It’s said that many jobs

  • will be replaced by robots in the future.

  • What’s behind this?

  • The application of information technology

  • based on big data.

  • Think about it.

  • In the past,

  • a country had sovereignty over

  • its land, sea and air.

  • Later it was extended to aerospace.

  • Land, sea, air and aerospace.

  • What’s the new territory

  • constructed online?

  • Cyberspace.

  • I wonder

  • if you know the Snowden Incident

  • which happened several years ago.

  • Snowden was an employee of a defense contractor.

  • He disclosed the PRISM Program in the U.S.

  • The core of the PRISM Program was to

  • make a comprehensive analysis of

  • all kinds of information

  • that could be collected on the Internet

  • and get intelligence for the U.S. security services.

  • Can you protect your cyberspace?

  • In this sense, big data is a new tool

  • to enhance the comprehensive capacity of the country

  • and to safeguard national security.

  • If a country

  • has no such capacity,

  • how can it protect its safety

  • and enhance its ability

  • in the international competition in the future?

  • Big data is also a new way

  • for government administration or social governance.

  • There are many examples

  • to share with you.

  • I wonder if you

  • apply for a provident fund loan.

  • How many processes are needed?

  • First, you have to go to

  • the Provident Fund Department

  • for the authorization of the credit enquiry

  • and go to the bank for the credit report.

  • Then your company proves your salary,

  • the Civil Affairs Department certifies your marital status,

  • and other departments certify your other statuses.

  • You have to

  • go to over 10 departments

  • before you can get the loan.

  • Later,

  • all service departments

  • gather in

  • the government affair hall,

  • so we don’t need to go around the city.

  • But we still have to queue up

  • window by window.

  • Every window we have to

  • hand in the ID card,

  • the copy of ID card and other materials.

  • We do the same things

  • and fill in the data repeatedly.

  • Now Zhejiang is carrying outone stop, one trip, one paper”.

  • It takes Quzhou as a comprehensive pilot unit

  • to launchone window acceptance”.

  • The applicant

  • takes his ID card,

  • purchase contract

  • and down payment voucher

  • and will get the loan

  • in half an hour.

  • Quzhou made a statistic.

  • It (full-year provident fund business)

  • can generally reduce by 180,000 times of

  • handling affairs and 120,000 times

  • of proofs issuing, amazing ability,

  • which brings stronger

  • senses of gain and happiness.

  • This is the example of big data

  • we are talking about.

  • What does the era of big data

  • bring to us?

  • It brings convenience to our lives,

  • and raises

  • our work efficiency dramatically.

  • I have fortunately experienced

  • these stages of information development.

  • I still remember

  • when I first started learning computer,

  • 60 students in two classes

  • shared only one machine.

  • That machine was called DJS-130 Computer.

  • It was a product

  • produced by China.

  • It was as big as

  • a cabinet air conditioner.

  • The whole class used it.

  • It had no operating system.

  • I’ll tell you

  • how simple it was only.

  • How much memory did it have?

  • 4K.

  • That was the first computer I came across.

  • Later, I graduated and studied for my master degree.

  • My instructor arranged me

  • to develop a software for a factory.

  • Many steel parts

  • were cut by the cutter in the factory.

  • With a large steel plate,

  • I placed all kinds of parts

  • on the steel plate

  • to save material and the steel plate

  • as much as possible

  • while considering

  • the traveling path of the flame cutting machine.

  • Right?

  • When it burned the steel soft

  • and it needed to change its path.

  • So this is a multidimensional optimization problem.

  • Then I developed a software

  • called Layout Software.

  • I was very lucky at that time.

  • I was specially assigned with a PC.

  • I could use it for 24 hours.

  • How much was a PC at that time?

  • Tens of thousands of yuan.

  • So I really

  • witnessed the massive use

  • of PCs in China

  • at that stage.

  • Informatization of every unit in China

  • also began at the time.

  • That was first wave of informatization,

  • beginning with the massive use of PCs.

  • What is the second wave?

  • In the mid-to-late 1990s,

  • with the commercial use of the internet,

  • we entered a new phase,

  • the networking phase featuring in

  • networked application.

  • Early before,

  • when we saved money at banks,

  • we would have handwritten coupons.

  • Later, each bank

  • completed the single informatization work

  • and the internet era began to concentrate.

  • And we could save and withdraw the deposit

  • in different branches of the same bank.

  • Now we can do this across banks

  • through the same network.

  • Remittance can be done in this way.

  • This is the second wave.

  • And through over 20 years

  • of accumulation to the present,

  • we have accumulated a lot of data

  • as what I described just now.

  • Which phase are we in now?

  • A new intelligent phase

  • featuring in in-depth excavation,

  • fusion and application

  • of data.

  • What will the future look like?

  • In my own imagination,

  • a major social change

  • in human history

  • is kicking off.

  • For the young present,

  • it’s exactly the era

  • you are facing.

  • Are you ready?

  • To survive in the future society,

  • besides knowing how to use tools,

  • you have to have

  • an important change

  • in a lot of thinking ways.

  • No matter you are learning computer

  • or other majors,

  • this is a basic ability.

  • In the current era of big data,

  • I think we must have

  • a few kinds of thinking:

  • computational thinking

  • and big data thinking.

  • In the current society,

  • do you still need to do brain calculation

  • and mental arithmetic

  • or recite the multiplication table?

  • You can finish mathematical calculations

  • with your cell phone

  • at any time.

  • So when you encounter

  • a complicated problem

  • in your real life,

  • you may think of

  • whether it can be solved

  • by computing.

  • That’s to model the real problem

  • with some concepts of computational science

  • to solve it in the computational way.

  • This is the computational thinking.

  • What is data thinking?

  • You have to learn how to get

  • and analyze the data,

  • how to extract value from the data

  • and how to apply the data.

  • You need to have such a thinking way

  • and such a change

  • to be better riders

  • in the era

  • when the informational big data

  • bring us opportunities

  • and challenges.

  • China is embarking on

  • a new journey of becoming a power.

  • Then how can we improve our technological strength,

  • especially the information technology strength

  • in the new era?

  • In early days, we basically

  • had little contact with the international.

  • Until the 1990s,

  • we always did our own things

  • within China.

  • We did a lot

  • to fill the gaps in China.

  • After 2000,

  • a group of scholars went international.

  • We began to

  • have a good presentation,

  • accumulate good influence

  • and gain a lot of results

  • internationally,

  • becoming leaders.

  • But, in general, we should notice that,

  • the overall level of technology,

  • especially the level of information technology,

  • is still far behind developed countries.

  • So whether we can complete innovation

  • of own independent technology

  • in the implementation of

  • National Big Data Strategy

  • and acceleration of

  • the digital economy development

  • within a long time in the future

  • has not been our responsibility

  • but the responsibility of the young present.

  • I hope that,

  • you can realize the dream

  • of enhancing our country with technology

  • through innovation and efforts

  • no matter what industry

  • you are engaged in.

  • Prospering technology will proper nation.

  • Strong technology can strengthen the country.

  • It’s also my hope for everyone.

  • Thank you, Mr. Mei.

  • Thank you.

  • Extract plant essence

  • to scientifically supplement both qi and blood.

  • Yunnan Baiyao Qixuekang Liquid

  • that is a good choice for staying up

  • invites you to stay tuned inVoice.”

  • Thank you all.

  • Please take a seat.

  • In your speech, you talked about

  • a lot of big data in China.

  • I think many young people

  • can’t deeply feel

  • the development

  • of the computer technology

  • from the beginning to the present,

  • not to mention

  • the big data.

  • Because for them,

  • everything around them

  • seems to be normal

  • and already long-lasting

  • since they were born.

  • But this is not true.

  • They are created by

  • generation after generation of scientists

  • adhering to such a spirit.

  • In the course of your speech,

  • many audiences on site

  • wrote you small notes.

  • Next, let’s move on to

  • the small note interaction part

  • sponsored by Yingding Education.

  • The first question.

  • This audience is very direct.

  • Please adapt to their style.

  • Is the big data you talked about so great?

  • Can big data analyze stock accurately?

  • Can I get rich

  • by learning big data?

  • The idiomget rich

  • is close to life.

  • May you happiness and wealth.

  • I want to answer the last sentence first.

  • If you really learn

  • and master the big data,

  • you can get rich.

  • Do you know how much the salary

  • of big data engineers

  • or big data analysts is?

  • Higher than my salary.

  • But how much is your salary?

  • You need to give me

  • a basis for comparison.

  • Anyway, it’s high.

  • Yes, exactly.

  • Now the industry is short of

  • such big data analysts

  • because there is a lot of data

  • that needs to analyze

  • and our overall data application

  • is still in the primary stage

  • and far from

  • our expected goals.

  • As for the question

  • whether its analysis of stock is accurate,

  • I can tell you that,

  • a senior analyst

  • limited in a dark room

  • can accurately analyze the data

  • if he is only provided with data

  • and not allowed to

  • send out information.

  • The key point is that such information

  • can’t be shared,

  • or itll be inaccurate.

  • Yes.

  • Because it is an open system.

  • Right?

  • Sometimes it’s like

  • our traffic.

  • If there is a traffic jam somewhere,

  • all people hearing this

  • would avoid that road,

  • but they get blocked in another road.

  • But the former road becomes smooth.

  • Exactly.

  • This open system

  • contains artificial factors

  • in the late period.

  • I guess, after you finished this sentence,

  • the enrollment number of big data major

  • of Beijing Institute of Technology

  • will increase greatly this year.

  • Welcome.

  • Everyone holds a plate

  • of getting rich

  • to learn it.

  • Next, I want to tell you all.

  • Now, “Voice

  • has a special area

  • on the platform of CCTV

  • for live broadcast with texts and pictures.

  • So some netizens

  • will also ask you questions online.

  • Let's take a look.

  • Hello, Mr. Mei.

  • My question is:

  • After fervent discussion of the big data

  • in the society,

  • many students follow the trend blindly

  • and apply for related majors

  • in their collage entrance aspirations.

  • Will such behaviors have a bad influence

  • on the future development of this industry?

  • I guess

  • this audience

  • just chose this major.

  • Now he wants to

  • learn some news from you.

  • This question is very difficult to answer.

  • As I’m engaged in this profession,

  • I hope more people could choose it.

  • And now the society

  • is really short of talents in this area.

  • In another aspect,

  • I think any industry

  • should exist.

  • But we can’t make all people

  • squeeze on a road.

  • People could perform well

  • in any field.

  • The most important thing is to choose

  • what you like and what is suitable for you.

  • That’s to say,

  • it may be better for you

  • if your thinking way

  • and learning way

  • can be suitable for this industry.

  • In my personal opinion,

  • undergraduates shouldn’t determine

  • the profession too early.

  • In general,

  • the university

  • has not had

  • the past elite education model

  • but should emphasize general education

  • to lay solid foundation,

  • which may be more important.

  • It’s not too late to choose majors

  • in the late period of the undergraduate

  • or the graduate periods.

  • Yes.

  • Undergraduates

  • should absorb all knowledge

  • to try to stabilize

  • their knowledge structures

  • rather than choose one major only.

  • The next time is for six youth representatives.

  • Hello, Mr. Mei.

  • I am a doctoral student of big data application.

  • I will graduate two years later.

  • So I still have two years left

  • before I get to that stage of getting rich.

  • You always think about it.

  • It’s a great honor for me

  • to talk with you face to face.

  • Just now, you also said

  • our country

  • has put forward that

  • cyber space belongs to our territory

  • from the national strategic level.

  • And corresponding things such as

  • network attack and defense technology

  • have had complete and sound

  • national laws.

  • But personal (privacy) level

  • is less explored.

  • With the gradual development of information technology

  • were willing to give up a little bit of privacy

  • to get such good service.

  • But those who are engaged in big data

  • know that, with its development in depth and breadth,

  • the excavation result

  • and corresponding influence

  • are not known

  • by people.

  • It won’t know it either.

  • When it asks whether you agree to share your data,

  • you agree.

  • But the result

  • is uncontrollable.

  • So what do you think of

  • such a case?

  • First of all, any technological progress

  • is double-sided.

  • When technology brings

  • convenience and progress to us,

  • it also brings other problems.

  • Everyone still remembers Chaplin’s,

  • Modern Timeswhich young people

  • might not have watched

  • and the workers on the assembly line?

  • It showed the dilemma brought to people

  • in the industrial age.

  • Countries all over the world are studying

  • how to protect data privacy.

  • But in fact, in terms of

  • the current technical system,

  • I think no technical solution

  • can really protect this so-called privacy.

  • Then true privacy protection

  • must be done by laws and regulations

  • in a legal system.

  • That is to say,

  • it must restrict behavior of vendors.

  • But now there is a problem.

  • If they are restricted too much,

  • the industry won’t be developed.

  • But if they are not restricted at all,

  • the data will be abused.

  • For example, the data privacy leak in recent years

  • annoys every one of us.

  • We often receives calls saying

  • do you want to buy a house

  • ordo you sell your house.”

  • And they accurately know your address.

  • Exactly.

  • They ask whether you plan to sell your house.

  • Yes.

  • They have got a lot of accurate data.

  • It hard to control this

  • by depending on technical means only.

  • Countries have relevant laws

  • and those in Europe may be

  • the strictest.

  • China promulgated and implemented

  • Network Security Lawlast year.

  • It also has relevant clauses

  • about the rights

  • of deleting data.

  • Laws can restrict lots of behavior.

  • They dare not to conduct these

  • because they will pay for them.

  • However,

  • just as you said,

  • you need to sacrifice your privacy

  • for some convenience.

  • You have privacy in front of doctors.

  • And for the sake of your health

  • and your life,

  • all your data will be handed over

  • to the medical institution.

  • This is what

  • we have to endure

  • at the current development stage.

  • This is the same for all

  • technological development in the society.

  • But generally speaking,

  • the trend of technological advancement

  • and technological development

  • can’t be stopped by us.

  • Yes.

  • Next one.

  • Hello, Mr. Mei.

  • Hello, Mr. Sa.

  • I’m Gao Yuze from Peking University.

  • Do you still remember me, Mr. Mei?

  • What an embarrassing question!

  • Just answer no.

  • Indeed

  • You indeed forget.

  • …I forget.

  • Let me first give you a few hints.

  • What if he still can’t remember after you give him hints?

  • Then I’ll tell him a story.

  • Let me first say some song names,

  • namelySwan Goose,”

  • Serve the Country with Total Loyalty

  • andWhere to Go.”

  • Theyre all my signature songs.

  • Are there any special points

  • with the three songs?

  • Do you remember?

  • Yes.

  • Who’s she?

  • I remember the event.

  • But you still don’t know her.

  • It’s a long story.

  • Five years ago,

  • on a cold winter night in 2013,

  • for the first time in my life,

  • I was on the stage of Peking University Hall at Peking University,

  • hosting its New Year’s party.

  • Back then,

  • the crew of directors gave me

  • a proposition on the spot,

  • a task.

  • That is, every year,

  • the host was needed

  • to joke with a teacher

  • nicknamedPrince of Folk Songs

  • and let him sing.

  • Today let me grandly introduce

  • thePrince of Folk Songs”,

  • who just stands

  • beside Mr. Sa.

  • I thought you were talking about me.

  • But I think the label

  • is a bit improper.

  • Nickname.

  • I’m not

  • nicknamed so

  • butBook of Chinese Songs”.

  • It turns yourePrince of Folk Songs”.

  • Sorry.

  • When we sing,

  • we like to perform

  • before the audience,

  • but Mr. Mei

  • added one part himself

  • and sang with his back to us.

  • He faced the screen

  • and began to sing

  • when therere subtitles on the screen

  • as if he had sung in KTV.

  • Book of Chinese Songs”.

  • I have a question for Mr. Mei.

  • I’ve had this question

  • for 5 years.

  • Did you really fail to bear the lyrics in mind

  • or did you just want

  • to amuse us on purpose?

  • When Mr. Mei sang the whole song,

  • you could just see his back.

  • Yes.

  • I didn’t want to bear the lyrics in mind

  • as I thought theyre available through search.

  • So today

  • inVoice,”

  • I face great difficulties

  • as I can’t remember something.

  • I can only rely on hints.

  • But there are no hints today,

  • so I omitted

  • many important points.

  • But you were singing at that time.

  • No.

  • You should let the audience

  • see your frontal image.

  • So it affected your performance quality

  • when you turned round and sang facing the screen.

  • At that occasion,

  • my appearance

  • but not my performance counted.

  • as the School of Electronics Engineering and Computer Science of Peking University

  • ranked first among the fourmadhousesat Peking University.

  • Yes.

  • The school was the biggest

  • and had the heaviest studies.

  • Many people still worked overtime in labs late at night.

  • However, I personally believed

  • the New Year’s party

  • was even more wonderful

  • than the university’s party

  • at the end of the year

  • and it was hard to get a ticket.

  • I can prove that

  • as I hosted both of them.

  • Indeed.

  • I’m from anothermadhouse,”

  • the School of Life Sciences.

  • The School of Life Sciences?

  • Exactly.

  • I’m from the thirdmadhouse,” the Law School.

  • It seems the Law School isn’t one of the fourmadhouses.”

  • However, to be honest,

  • these parties are pretty good,

  • many of which are held by students themselves.

  • Which one of the songs

  • do you like most?

  • Swan Goose”…

  • Serve the Country with Total Loyalty

  • andWhere to Go”.

  • I likeServe the Country with Total Loyaltymost.

  • Well, music, please.

  • I’ll help you with the lyrics beside.

  • But I have to tell you

  • I always sing out of tune.

  • We don’t care.

  • Well, I once majored in liberal arts.

  • Great.

  • It’s embarrassed I can’t bear lyrics in mind.

  • I’ve felt

  • without a subtitles reminder,

  • it’s hard for you

  • to finish a song.

  • But I heard a scientist

  • sing so well for the first time.

  • Indeed.

  • Especially, it’s hard for common people

  • to finish the high-pitched part.

  • I’ve been good at it in CCTV

  • for years.

  • The great China

  • The great China attracts various states around.

  • It’s hard to finish it,

  • but you made it easily.

  • Very great.

  • The inner humanism

  • of an excellent scientist

  • must be of great help to him.

  • I also feel so honored to see

  • Mr. Mei sing before the audience first

  • among so many songs

  • I’ve heard.

  • He faced the audience.

  • As you just mentioned,

  • since you abandoned

  • your old love, literature,

  • and began to take to your new love, big data,

  • youve thrown away many things

  • from your mind.

  • I wonder what youve still kept in your mind.

  • I can bear something I got when I was young

  • in mind,

  • but with time going,

  • I’ve forgotten much

  • as I don’t review for a long time.

  • However, I think

  • what I read at that time

  • gave me a lot of personal inspiration.

  • On one occasion, Peking University

  • asked some professors to recommend several books that

  • were important to our lives.

  • I wrote three ones

  • back then,

  • one of which wasLegend of Deification.”

  • I found the book

  • in my grandma’s attic

  • when I was a third-grade pupil.

  • I learnt there was so much to imagine

  • by reading it.

  • It taught me to imagine boldly.

  • Maybe it laid

  • a foundation

  • for my bold imagination

  • and forward-looking ideas later.

  • I had a very successful history

  • of software programming.

  • As products, my software

  • could be used in factories.

  • Back then, my teacher asked me

  • to handle technology

  • and product promotion at my convenience.

  • Why did I give up later?

  • Because I found

  • after a software product was programmed,

  • I had to keep correcting

  • its errors

  • and making it adapt to

  • new needs.

  • I thought

  • I had no passion

  • to mend and adjust

  • a finished product

  • and I liked to try something new.

  • So for the first time, I realized

  • maybe I could only feel delighted

  • by keeping trying

  • something new.

  • So I choose to continue my doctoral study

  • and start my academic road

  • at that time.

  • Surely, I also completed

  • my childhood dream

  • of being a scientist.

  • Thank you, Mr. Mei.

  • Thank you.

  • Next one.

  • Who comes?

  • Please.

  • Hello, Mr. Mei.

  • I’m a second-grade postgraduate student

  • of Department of Industrial Design

  • of Beijing University of Technology.

  • I’m not in the field of big data,

  • but because of

  • this information age,

  • our Department of Industrial Design

  • also offers courses in many related programs.

  • In the process of designing projects,

  • we design such a product

  • by combining technologies of the new age,

  • such as big data,

  • AR and VR

  • with our ancient traditional building.

  • I brought it here.

  • How to show it?

  • Come to the stage.

  • Show it to Mr. Mei.

  • This is a photo of bricks.

  • It shows some walls

  • of an ancient building.

  • I use my cell phone in hand

  • to scan it.

  • OK.

  • I scan it with my cell phone.

  • I carry

  • It can also turn.

  • Yes.

  • Can it?

  • I seem to carry a model,

  • but it’s actually a photo.

  • When we visit some ancient buildings,

  • we may see some QR codes on the wall.

  • When we scan one of them,

  • we can get the information of an ancient building.

  • In fact, we can

  • directly use many data

  • on the wall,

  • such as colored information.

  • We want to replace QR codes to some extent.

  • In fact, we want to adopt

  • a relatively new point of view

  • to let the young

  • re-focus on these ancient buildings

  • and to evoke

  • their memories of ancient buildings.

  • Thank you.

  • The data of ancient buildings

  • and those of the e-commerce platforms

  • are different in source.

  • Our data

  • are relatively smaller,

  • and each item of data

  • is of great value.

  • I wonder

  • what suggestions you have

  • for the data-depth mining.

  • What you just said

  • is very significant.

  • We may not cover the scenic spots

  • all over the world.

  • The digital reservation

  • of the entire historical and cultural heritage

  • in China

  • and even the world

  • is related to data.

  • If you combine

  • an object building

  • with the historical data

  • around,

  • you can completely show

  • the context of the whole history.

  • These data are essentially solid.

  • The key is that a platform

  • can gather them.

  • It’s hard for you

  • to get it now.

  • Yes.

  • Were constantly digging them.

  • This is the work

  • of museums.

  • They should solve such a problem.

  • Besides places of interest,

  • such as the Temple of Heaven and the Forbidden City,

  • there are also a lot of small ancient buildings

  • scattered around the people.

  • Some of them even

  • only have ruins.

  • Yes, yes, yes.

  • Theyre featured,

  • but theyre scattered around the people.

  • And depending on our own professional capacity,

  • we want

  • to do what we can

  • and collect the data of ancient buildings

  • in the corners

  • and make them into a database

  • to process them in depth.

  • So valuable.

  • You can also combine local annals

  • with data when visiting a place.

  • Each place

  • is establishing its local annals.

  • If you combine local annals

  • and historical events,

  • you can master the entire history of a place.

  • OK. Thank you.

  • Mr. Mei gives you good suggestions.

  • How well should I,

  • one out of the field

  • of big data,

  • get to know big data

  • in the data age

  • so that

  • I can alsoget rich

  • by them?

  • How can big data benefit the masses?

  • There’s no need for all of us

  • to study big data’s

  • mechanisms or bases,

  • and so on,

  • but we can learn to use them.

  • In the future,

  • no matter what industry youre engaged in,

  • it’s important to change something.

  • We used to use

  • computers or data

  • as auxiliary tools.

  • Now we should try to change a perspective.

  • We should follow data

  • rather than make them as our helpers.

  • There may be a leap

  • in your thinking

  • about what youre doing in the industry.

  • This is the first point I’m talking about.

  • Second,

  • how well should you get to know them?

  • One, you should truly know

  • what kind of thing is actually big data.

  • Two, you should think

  • in the way of data,

  • that is, what data you need

  • to support

  • your application.

  • Big data must be closely related

  • to the field.

  • You have the most power to interpret data

  • from your industry.

  • Thank you for letting me know

  • people in other majors can alsoget rich.”

  • Hello, Mr. Sa. Hello, Mr. Mei.

  • I’m Duan Yuchen,

  • a grade-eight student.

  • Since I was born,

  • I’ve felt the rapid development of internet

  • and artificial intelligence.

  • As you said,

  • many job holders will be replaced in the future

  • I think that the scientist

  • may be the most interesting

  • and meaningful profession in the future

  • as he can make innovations and creations

  • and change the world with science and technology.

  • So I want to ask you

  • how we can become

  • excellent scientists like you.

  • I’m very happy to see that

  • such a young generation like him

  • is determined to be scientists.

  • Study hard

  • to lay a foundation

  • and insist on

  • your goal.

  • It’s a long and boring process

  • to achieve it.

  • I like the character

  • of daring to question and challenge

  • of my students.

  • They shouldn’t believe

  • the contents of articles and theses

  • can solve all the problems,

  • nor should they believe

  • what their teachers said are all correct.

  • They should discuss with their teachers.

  • So the students I like

  • dare to discuss with me face to face.

  • I call it

  • critical thinking.

  • The way of thinking is

  • very important to those of us

  • who are engaged in science.

  • We shouldn’t believe all that the authorities said are right.

  • So I had a habit.

  • Now I’ve changed a lot

  • as I’m engaged

  • in administrative management.

  • That is, I often said no

  • to what other had said

  • and found his flaws

  • or errors

  • from the negative side.

  • Technological advances, or scientific discoveries,

  • are endless.

  • We humans have

  • a very limited understanding

  • of our environment around us,

  • so we still have a lot of room

  • to keep questioning.

  • Only when we stand on the shoulders of our predecessors

  • can we push forward the progress of science and technology continuously.

  • There was a story.

  • I wonder whether it was true.

  • Your obsessive-compulsive disorder

  • had made you suffer from serious obsession to the extent that

  • you didn’t have a girlfriend.

  • Was it true?

  • It was

  • a past story.

  • Yes, surely.

  • When I talked with people,

  • I often criticized them

  • and listed

  • their negative points,

  • so they didn’t want to meet me.

  • So we shouldn’t mix life and career.

  • The critical thinking

  • doesn’t apply to life.

  • I have such lessons.

  • The last one, Su Wenyi.

  • Hello, Mr. Sa.

  • Hello, Mr. Mei.

  • We young

  • have the chivalrous heart

  • of wandering in the world.

  • I went to university

  • in Nanjing

  • and then worked for three years in Guangzhou.

  • Now I start a business in my hometown Zhejiang.

  • During the years,

  • I had several social security cards.

  • Every time I went to a place,

  • I had to reapply for a new card.

  • And I didn’t know

  • how to handle my cards

  • when coming to another place.

  • When can our country

  • establish a unified big data

  • in the whole country?

  • Especially social security,

  • medical care

  • and the basic population information.

  • If we go to various places

  • with our children for some time in the future,

  • can our information

  • in the registered permanent residences

  • match that in other places?

  • Can some of it be used?

  • What can’t be used?

  • The sharing,

  • exchange and gathering

  • of data

  • should be solved.

  • The question youre talking about

  • should be on the agenda.

  • According to

  • Platform for Action to Promote Big Data Development,”

  • the government set up some time nodes.

  • Our country aims

  • to at least solve the sharing problem

  • at the provincial and ministerial level

  • this year.

  • In 2020, the data

  • should be open to the society.

  • Many of the government affairs data

  • can be open

  • to the society.

  • And these open data

  • will have a lot of benefits

  • for future entrepreneurs,

  • including you,

  • because the government data

  • are the most valuable

  • and of the highest quality.

  • When theyre combined with your scenarios,

  • many new value-added services

  • will emerge.

  • There’s a time node for it.

  • I believe itll be soon.

  • I’m looking forward to that day.

  • Thank you, Mr. Mei.

  • Big data,

  • internet,

  • everything in the future,

  • the latest concepts weve heard today,

  • artificial intelligence, and so on.

  • Let’s not sit here

  • and wait for them to change our lives.

  • If you can’t get involved

  • in this,

  • it’s painful to wait

  • as youre passively following the age.

  • We can’t just

  • wait for the future

  • but measure it

  • with our steps gradually.

  • It’s less than two years before 2020.

Our guest today

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