Lesson 23 大数据时代 The big data era
Dà shùjù shídài
大数据时代
The big data era
Shénme shì dà shùjù?
什么是大数据？
What is big data?
Kūzào de míngcí jiěshì huì ràng “kē máng” men gèngjiā mō bùzháo tóunǎo,
枯燥的名词解释会让“科盲”们更加摸不着头脑，
The boring explanation of terms will make the "scientifically blind" even more confused.
yǒu xuézhě yǐ tōngsú de lìzi zhèyàng gàosù wǒmen,
有学者以通俗的例子这样告诉我们，
Some scholars tell us with popular examples,
“měi gèrén chéng fēijī shí, dōu shì zìjǐ xuǎnzé hángxiàn,
“每个人乘飞机时，都是自己选择航线，
"Everyone chooses their own route when flying.
zhè shì rén de zhìhuì,
这是人的智慧，
This is human wisdom.
dāng rénmen de xuǎnzé jiéguǒ fǎnyìng dào jùtǐ de hángchéng zhōng lái,
当人们的选择结果反映到具体的航程中来，
When people’s choices are reflected in the specific voyage,
jiù huì yǒu dàliàng de shùjù bèi jìlù xiàlái.
就会有大量的数据被记录下来。
a large amount of data will be recorded.
Wǒmen gēnjù zhèxiē yuánshǐ de,
我们根据这些原始的、
Based on these original,
duījī rúshān de jìlù shūlǐ chū de hángchéng shèjì fāng'àn,
堆积如山的记录梳理出的航程设计方案，
the voyage design plan sorted out by piles of records,
jiāng shì zuì zhuóyuè de.
将是最卓越的。
will be the most remarkable.
Zhè jiùshì dà shùjù de fāngfǎ.”
这就是大数据的方法。”
This is the method of big data. "
Dà shùjù yǒu shénme yòng?
大数据有什么用？
What is the use of big data?
Jǔlì lái shuō,
举例来说，
For example,
Bǎidù zài 2014 nián shìjièbēi qíjiān zhǔnquè yùcè déguó duóguàn,
百度在2014年世界杯期间准确预测德国夺冠，
Baidu's accurate prediction of Germany's victory during the 2014 World Cup
jiùshì dà shùjù de gōngláo.
就是大数据的功劳。
is due to big data.
Bǎidù de zuòfǎ shì:
百度的做法是：
Baidu's approach is
Pàiqiǎn shùjù zhuānjiā quánmiàn sōusuǒ 5 niánlái quán shìjiè 987 zhī qiú duì 3.7 Wàn chǎng bǐsài de shùjù,
派遣数据专家全面搜索5年来全世界987支球队3.7万场比赛的数据，
to send data experts to comprehensively search the data of 37,000 games of 987 teams around the world in the past five years,
bìng yǔ cǎipiào zhōngxīn děng zhànyǒu dàliàng shùjù de xiāngguān jīgòu jiànlì zhànlüè hézuò huǒbàn guānxì,
并与彩票中心等占有大量数据的相关机构建立战略合作伙伴关系，
and establish strategic partnerships with relevant agencies such as lottery centers that have a large amount of data,
jiāng gè lèi shùjù róngrù yùcè móxíng zhōng.
将各类数据融入预测模型中。
and integrate various data into the prediction model.
Zhè yī hǎiliàng shùjùkù gòngjì shèjí 19972 míng qiúyuán hé 1.12 Yì tiáo xiāngguān shùjù.
这一海量数据库共计涉及19972名球员和1.12亿条相关数据。
This massive database involves a total of 19972 players and 112 million related data.
Zhīhòu,
之后，
After that,
Bǎidù duì 2006 nián hé 2010 nián shìjièbēi de táotàisài jìn xíng le jiéguǒ yànzhèng,
百度对2006年和2010年世界杯的淘汰赛进行了结果验证，
Baidu verified the results of the 2006 and 2010 World Cup knockouts,
zhǔnquè lǜ jiējìn 75%,
准确率接近75%,
and the accuracy rate was close to 75%.
zhè yī jiéguǒ lìng dà shùjù yánjiū zhě wànfēn zhènfèn.
这一结果令大数据研究者万分振奋。
This result was extremely exciting for big data researchers.
Nàme, dà shùjù rúhé liánjiē wèilái?
那么，大数据如何连接未来？
So, how does big data connect to the future?
Wǒmen bùfáng yǐ dà shùjù yǔ jiànkāng wéi lì jiāyǐ shuōmíng.
我们不妨以大数据与健康为例加以说明。
Let us take big data and health as an example.
Rénmen gōngrèn “yīliáo” hé “jiànkāng” fēn shǔ liǎng gè wánquán bùtóng de lǐngyù,
人们公认 “医疗” 和 “健康” 分属两个完全不同的领域，
It is recognized that "medicine" and "health" belong to two completely different fields.
yǒule dà shù,
有了大数，
With large numbers,
tāmen bùjǐn xiāngtōng xiāng róng,
它们不仅相通相融，
they are not only compatible,
hái yǒu kěnéng chèdǐ niǔzhuǎn xiānqián chénjiù ér bèidòng de yǒu bìng zhì bìng fāngshì,
还有可能彻底扭转先前陈旧而被动的有病治病方式，
but also possible to completely reverse the old and passive treatment of disease
gǎi wèi jījí fángzhì,
改为积极防治，
and change it to active prevention and treatment.
shènzhì bǎ jíbìng xiāomiè zài méngyá zhuàngtài zhōng de xiǎngfǎ yě bù xiǎndé huāngmiùle.
甚至把疾病消灭在萌芽状态中的想法也不显得荒谬了。
Even the idea of eliminating the disease in its budding state is not ridiculous.
Zuò jìnyībù tǎolùn zhīqián,
做进一步讨论之前，
Before going into further discussion,
yǒu yīgè qiántí bìxū jiāodài qīngchǔ:
有一个前提必须交代清楚：
there is a premise that must be explained clearly:
Měi yīcì jíbìng de fāshēng dōu bùshì ǒurán de,
每一次疾病的发生都不是偶然的，
every occurrence of a disease is not accidental.
zhuījiù yuányīn, wúfēi shì jīyīn, yíchuán, huánjìng, shēnghuó xíguàn děng.
追究原因，无非是基因、遗传、环境、生活习惯等。
Investigating the cause is nothing more than genes, heredity, environment, living habits, etc.
Suī fēi ǒurán, què wúfǎ yùliào, yīncǐ, chuántǒng yīliáo zhǐ néng bāng nǐ zhì bìng.
虽非偶然，却无法预料，因此，传统医疗只能帮你治病。
Although it is not accidental, it is unpredictable. Therefore, traditional medical treatment can only help you cure your illness.
Rúguǒ néng zhǎo chū bìngyīn ne?
如果能找出病因呢？
What if the cause can be found?
Xiāochú yǐnhuàn jiù chéngwéile kěnéng,
消除隐患就成为了可能，
It is possible to eliminate hidden dangers,
“jiànkāng dà shùjù” jiùshì yào zuò zhè jiàn shì.
“健康大数据” 就是要做这件事。
and "health big data" is to do this.
Bǐrú xīnzàng bìng,
比如心脏病，
For example, for heart disease,
bìngrén fà bìng chángcháng shì yǒu yùzhào de,
病人发病常常是有预兆的，
the onset of a patient is often foreseeable.
rúguǒ duì huànzhě de xīntiào shùjù yǒu zúgòu cháng shíjiān de chíxù jīlěi,
如果对患者的心跳数据有足够长时间的持续积累，
If the patient’s heartbeat data is accumulated for a long time,
jiù kěnéng yùcè bìngrén fà bìng de shíjī;
就可能预测病人发病的时机；
the timing of the patient’s onset may be predicted;
duìyú xīnzàng bìng tú fā zhìsǐ de ànlì,
对于心脏病突发致死的案例，
for the case of a heart attack and death,
rúguǒ néng tíqián 24 xiǎoshí jiāncè dào língxīng xiānzhào,
如果能提前24小时监测到零星先兆，
If sporadic auras can be monitored 24 hours in advance,
shènzhì kěyǐ wǎnjiù huànzhě de shēngmìng.
甚至可以挽救患者的生命。
it can even save the patient's life.
Lìyòng dà shùjù duì yīgè bìng zhǒng jìnxíng xìzhì de jiāncè, yìyì shì bù yán ér yù de.
利用大数据对一个病种进行细致的监测，意义是不言而喻的。
It is self-evident to use big data to conduct detailed monitoring of a disease.
Zhōngguó xiěyā yǒu wèntí de rén bùzài shǎoshù,
中国血压有问题的人不在少数，
There are many people with blood pressure problems in China.
qízhōng gāo xiěyā huànzhě yǒu 1 yì rén,
其中高血压患者有1亿人，
Among them, there are 100 million people with hypertension
qiánzài huànzhě hái yǒu 1 yì rén,
潜在患者还有1亿人，
and 100 million potential patients.
rúguǒ zhè 2 yì rén dōu néng tōngguò “gāo xiěyā shǒubiǎo” huòzhě shénme xiānjìn qìcái jìnxíng jiāncè,
如果这2亿人都能通过 “高血压手表” 或者什么先进器材进行监测，
If these 200 million people can monitor their health through "hypertension watches" or some advanced equipment.
duì tāmen de jiànkāng jìnxíng rénwéi guǎnlǐ, jiāng huì shì fēicháng yǒu qiánjǐng de chángshì.
对他们的健康进行人为管理，将会是非常有前景的尝试。
It will be a very promising attempt to manage their health artificially.
Zài wèilái yīliáo móshì zhōng,
在未来医疗模式中，
In the future medical model,
línchuáng huì jǐnliàng jiǎnshǎo duì rén de yīlài,
临床会尽量减少对人的依赖，
clinicians will try to reduce their dependence on people,
yīnwèi yīshēng shì qiè qièshí shí de xīquē zīyuán,
因为医生是切切实实的稀缺资源，
because doctors are tangible and scarce resources.
dà shùjù de yōuyuè zhī chù jiù zàiyú,
大数据的优越之处就在于，
The advantage of big data is that
nénggòu dàdà tígāo yīshēng de gōngzuò xiàolǜ,
能够大大提高医生的工作效率，
it can greatly improve the work efficiency of doctors
jiāng yīshēng de néngliàng fāhuī dào zuìdà.
将医生的能量发挥到最大。
and maximize their energy.
Yīn wéi dà shùjù de jiànkāng wéihù bùshì déle bìng zhīhòu zài cǎijí shùjù,
因为大数据的健康维护不是得了病之后再采集数据，
Because the health maintenance of big data is not to collect data after getting sick,
ér shì píngshí jiù zài yīxiē tèshū shèbèi de xiézhù xià,
而是平时就在一些特殊设备的协助下，
but usually with the assistance of some special equipment,
bǎ rén suǒyǒu de shēnglǐ shùjù zǎn qǐlái,
把人所有的生理数据攒起来，
collecting all the physiological data of people,
duì qí jìn háng fēnxī chǔlǐ hòu,
对其进行分析处理后，
After analyzing and processing it,
fā gěi yīshēng,
发给医生，
and send it to the doctor,
yuǎnchéng yīliáo fúwù jiāng huì biàn dé kěxíng érqiě yōuzhì.
远程医疗服务将会变得可行而且优质。
Telemedicine services will become feasible and high-quality.
Shíshìqiúshì de jiǎng,
实事求是地讲，
To be honest,
jíbiàn jǐnjǐn zuò dào zhè yīdiǎn,
即便仅仅做到这一点，
even if we only do this,
dà shùjù wéi rénlèi zuò chū de gòngxiàn yě yuǎn yuǎn chāochūle wǒmen de qī pàn.
大数据为人类做出的贡献也远远超出了我们的期盼。
the contribution of big data to mankind far exceeds our expectations.
Zhǎnwàng wèilái,
展望未来，
Looking forward to the future,
dà shùjù jiāng huì zǒu jìn wǒmen shēnghuó de gège lǐngyù,
大数据将会走进我们生活的各个领域，
big data will enter all areas of our lives.
yǒurén zhèyàng dìngwèi dà shùjù shídài de yìyì:
有人这样定位大数据时代的意义：
Some people have positioned the meaning of the big data era like this:
“Yǒngyǒu zhīshì céng yìwèizhe zhǎngwò guòqù,
“拥有知识曾意味着掌握过去，
"Having knowledge once meant mastering the past,
xiànzài tā gèng yìwèizhe yùcè wèilái.”
现在它更意味着预测未来。”
and now it means predicting the future."
Full Translation:
The big data era
What is big data? The boring explanation of terms will make the "scientifically blind" even more confused. Some scholars tell us with popular examples, "Everyone chooses their own route when flying. This is human wisdom. When people’s choices are reflected in the specific voyage, a large amount of data will be recorded.
Based on these original, the voyage design plan sorted out by piles of records, will be the most remarkable. This is the method of big data." What is the use of big data? For example, Baidu's accurate prediction of Germany's victory during the 2014 World Cup is due to big data.
Baidu's approach is to send data experts to comprehensively search the data of 37,000 games of 987 teams around the world in the past five years, and establish strategic partnerships with relevant agencies such as lottery centers that have a large amount of data, and integrate various data into the prediction model. This massive database involves a total of 19972 players and 112 million related data.
After that, Baidu verified the results of the 2006 and 2010 World Cup knockouts, and the accuracy rate was close to 75%. This result was extremely exciting for big data researchers. So, how does big data connect to the future? Let us take big data and health as an example.
It is recognized that "medicine" and "health" belong to two completely different fields. With large numbers, they are not only compatible, but also possible to completely reverse the old and passive treatment of disease and change it to active prevention and treatment. Even the idea of eliminating the disease in its budding state is not ridiculous.
Before going into further discussion, there is a premise that must be explained clearly: every occurrence of a disease is not accidental. Investigating the cause is nothing more than genes, heredity, environment, living habits, etc. Although it is not accidental, it is unpredictable. Therefore, traditional medical treatment can only help you cure your illness.
What if the cause can be found? It is possible to eliminate hidden dangers, and "health big data" is to do this. For example, for heart disease, the onset of a patient is often foreseeable. If the patient’s heartbeat data is accumulated for a long time, the timing of the patient’s onset may be predicted; for the case of a heart attack and death, If sporadic auras can be monitored 24 hours in advance, it can even save the patient's life.
It is self-evident to use big data to conduct detailed monitoring of a disease. There are many people with blood pressure problems in China. Among them, there are 100 million people with hypertension and 100 million potential patients. If these 200 million people can monitor their health through "hypertension watches" or some advanced equipment. It will be a very promising attempt to manage their health artificially.
In the future medical model, clinicians will try to reduce their dependence on people, because doctors are tangible and scarce resources. The advantage of big data is that it can greatly improve the work efficiency of doctors and maximize their energy.
Because the health maintenance of big data is not to collect data after getting sick, but usually with the assistance of some special equipment,collecting all the physiological data of people, after analyzing and processing it, send it to the doctor, Telemedicine services will become feasible and high-quality.
To be honest, even if we only do this, the contribution of big data to mankind far exceeds our expectations. Looking forward to the future, big data will enter all areas of our lives. Some people have positioned the meaning of the big data era like this: "Having knowledge once meant mastering the past, and now it means predicting the future."
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