The human insights missing from big data | Tricia Wang

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Why do so many companies make bad decisions, even with access to unprecedented amounts of data? With stories from Nokia to Netflix to the oracles of ancient Greece, Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on "thick data" -- precious, unquantifiable insights from actual people -- to make the right business decisions and thrive in the unknown.
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1 авг 2017

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Комментарии : 124

@andresorozco2871 6 лет назад

I'm studing anthropology in a country with almost inexistent funds for social sciences studies and with a very narrow view of how anthopology must be applied, but, watching this video has opened my eyes. My career is not useless or limited as many people had told to me all this years, but it has many possibilities, outside what my university aims to, and that I can do bigger things. Thank you, TED!

@TheRealE.B. 7 лет назад

Big data without people who know who to read it is like the collected works of Shakespeare in a frat house.

@MrHayada 7 лет назад

leadfoot9x ouch

@projectjt3149 5 лет назад

Way too true what you just said. Don't even get me started with "confounding variables" in statistics, which would make (biased) statisticians look like frat members.

@moodbit 4 года назад

lololol nice one

@brendarua01 7 лет назад

Nicely done, Ms. Wang! Thank you for sharing.

@pelademocraciareal 4 года назад

Simply amazing! Thanks prof. Wang!!

@moodbit 4 года назад

So true! Processing data to become relevant information is key!

@thekaizenproject2957 7 лет назад

Well yes, statistics don't show individual stories and therefore don't always reveal the entire story.

@kinsmed 7 лет назад

You must not have watched the video. That was her exact point.

@rubberband702 5 лет назад

A great speaker.

@HenryShelton Год назад

We must integrate the expression of higher consciousness with the processing of big data to insure the greatest good of humanity, nature, and the planet. Great talk Tricia!

@ericknajera9417 4 года назад

Thick Data is quite a necessary thing for any decision in a company, it really lets you know the sentimental part of business

@Telltaletracks 3 года назад

What was that bit near the end about the NSA skynet and thousands of deaths in Pakistan? I'm definitely missing something...

@NeonsStyleHD 7 лет назад

Perfect example is Google/RU-vid. Is using filters that give people things they've already seen a good idea? Now we have the stupidest net where it's hard to find anything anymore. Then the last few days, RU-vid changed background colour to pure white, so now you can't see if a which tab you are currently on. Stupid programmers/system analysts.

@xxcyber7216 2 года назад

well, what do you think about youtube and google now? after 3 years...

@justbumblingalong 7 лет назад

Videos like this are exactly why ted is so brilliant and so important. Really great insights and so well presented. Keep doing what youre doing!

@keywang9239 4 года назад

wonderful point of view！

@rinserofwinds 7 лет назад

Is "thick data" anything else than qualitative data?

@cubicinfinity2 5 лет назад

Yes. I love qualitative data; it includes the kind of stuff you get from free-form responses. But when you also have quantitative data it's even more useful.

@jimtolman 3 года назад

@BrotherWoody1 7 лет назад

Sounds like her thick data theory & "Everybody Lies" would dovetail nicely to help assuage the perplexities of the social & marketing engineers. It's just the thing needed for our deontological ethics & our special interest society.

@saadsd4630 7 лет назад

thanks for sharing ^^

@MegaJorn123 5 лет назад

Any links to the sources of these claims? 73% not profitable etc. I'm doing a school project about big data.

@familyhappy6170 2 года назад

i rmemebr doing my survey i keep seing same answer when look at the paper they write..once i ask face to face or ask neart person about a thing i had dffnt result

@Grazikon 7 лет назад

Binge-watching, in addition to smartphones, is not necessarily beneficial to humanity; it creates a lazier, more distracted society, engrossed in their screens instead of talking to each other. Sure , these things improve the numerical gains of the companies, but at the expense of having a negative effect on society. So, in the end, you need to look at the thick goals as well. Not just having numerically big goals of 'we''ll earn this much', but actually having value-, result-driven, ethical practises that produce a better society.

@JulianeRotondo Год назад

Estudar muito para ser uma referência na minha área de atuação e um dia ter oportunidade de palestrar na TED.

@JoshuaOtusanya 7 лет назад

*TED! You've motivated me to start RU-vid and I'm only at 2,997 but I'm loving making videos a ton. Thank you!!*

@user-fe1wx6cq8n 4 месяца назад

このTalkはあまりに素晴らしいと思います！！データサイエンスを志す人間全員が視聴すべきアイデアだと思います！！！

@shway1 7 лет назад

HARD data, BIG data... and now, THICK data

@heinrichpeters5790 5 лет назад

Juicy data

@etlens 4 года назад

Meaty data

@MrMduchesne23 3 года назад

sweet bbq sauce dipped rotisserie data.

@dmytrodance Месяц назад

@@MrMduchesne23😂

@rockshankar 7 лет назад

This phase is inevitable.. future is kinda scary that you are sucked into this system,and it will kill you if you don't.. everything happening around you has indirect monetary profit. It includes how a person,think, behave..

@drsquirrel00 Год назад

The graph shows Symbian, not Nokia. Whilst Nokia was in with Symbian, the big drop was also due to others moving from Symbian to Android.

@imanimalaika7734 3 года назад

Anecdotal data can also be used to reinforce bias depending on the selection process. I see this cherry-picking all the time in political speeches.

@isaiahparran9024 5 лет назад

I want one of those phones

@fv1291 2 месяца назад

Hello Trisha!! From a friend of Adrienne.

@richardadamwais9734 2 года назад

big data can help to understand user tendencies and preferred content

@littleleakyleakythere 8 месяцев назад

Why would you ever be in a barn during a tornado??

@VionaShu Год назад

field study matters!

@markhursey 7 лет назад

Nokia must be kicking them selfs.

@alejandroleal9443 3 года назад

In 2013, Nokia Mobile division was sold to Microsoft. Now, Nokia it's mades network components and infrastructure.

@Sdhector21 7 лет назад

It's amazing how history repeats itself. What big data needs is more Philosophy and Scientific Theory. More inductive, rather than deductive models. She was trying to say that, but I guess she hasn't really sat down to think about the problem, which is ironically the same problem she's alluding to.

@emmanueloluga9770 2 года назад

Ditto

@slipperyeel9206 Месяц назад

This just in: the Grecian oracle absolves me from having to make my deterministic understanding of the universe

@user-wd2bq3lx4l 5 лет назад

冒个泡，英语老师要我们做口语，我选的这个。我觉得这个演讲给了我新的想法，对我挺有启发的。不过上面的评论好像对她的演讲(不是观点)不太满意。。。。

@globalvillage423 4 года назад

Big data meets quantum computing.

@braydenlidguerre8727 3 года назад

Whos here from KIN 122

@kinggaming4594 3 года назад

Mark ep lmao

@DeLanoLLoya 3 года назад

Chaos is a dance between quality and quantity. Everything in our universe follows the immutable mystic law of the lotus flower.

@openbabel 7 лет назад

I dont think you have this right...what you should be saying is that the culture within Nokia did not want change and refused to accept data from the market which did not support their current norms....we agree nokia was never going to suceed when microsoft took over.

@MoneyGist 3 года назад

QuaNTitative + QuaLitative Data = BIG Insights

@nationhlohlomi9333 Год назад

This is dope

@SkatingErinsMom 5 лет назад

English subs are missing

@user-xh1so2qj6g 5 лет назад

一叶障目不见泰山

@frederikvolkers8319 6 лет назад

Her studies are needed, but not for now, machines should be based on precise quantitative data.

@Iphone-gp9oo 2 года назад

Rip nokia…..wc ios and samsung

@MrHayada 7 лет назад

tl;dr _T H I C C D A T A_ imma pass this to my unsupervised algorithm that i run on a distributed super computer on the based framework of Excel sheets. So much insight.

@schneeekind 7 лет назад

lol

@DonCorleone786 7 лет назад

I've watched this from Ted somewhere

@techkickin 7 лет назад

Heboka Yepthomi where's exactly? 😂

@calixtorodriguez6156 7 лет назад

trDucir al español

@Joey_Dasher 7 лет назад

>Nokia didn't follow my orders and because of that they nearly went bankrupt

@user-rh8hi4ph4b 7 лет назад

She isn't wrong, though. Underestimating the success of iPhones and Android smartphones in Asia and around the world was one of the major mistakes that led to Nokia's downfall.

@mrvzhao 7 лет назад

Yeah, it sounded a little like that. But that's missing the point of the talk. Besides, Nokia was screwed anyway. It takes a software company, not a mobile phone company, to build good smart phones.

@etlens 4 года назад

That’s what happened

@spockrising3208 5 лет назад

I have a solution to all of our problems. Stop micro managing humanity, your causing great harm. I hear this, "We cant read all the data. How can we efficiently exploit people?" Just how much soul are you willing to exchange for market viability?

@H00133303 7 лет назад

never heard of the term (thick data), but thro my master studying have learned few tools that doesn't only rely on statics method but also integrate it with qualified data. must say it is an interesting talk

@Q_z_ 7 лет назад

Yeah, it's a female speaker but listen to what she has to say. She has fascinating points that make you think about how data collection can cause people to make wrong decisions without using social justice to reinforce her points

@Gregory-ud6zq 7 лет назад

@ohnonono1799 7 лет назад

6:45 android is linux. And why did she use three grays.

@Zulu369 7 лет назад

There is a simple and naive way to predict the future: create it now.

@AmyDentata 7 лет назад

thicc data

@kalyantheja Год назад

summmarize

@SuperSSystem 7 лет назад

"what is missing from our models" path for the AI

@alighori89 10 месяцев назад

What an anology!

@frahzim8235 2 месяца назад

This video is my bible. Still.

@Pyropandaification 7 лет назад

what is she selling?

@cinlocybin 6 лет назад

Qual research

@jhonbowrncantspell 5 лет назад

Tryna sell her ethnography PhD students/friends to F500 data science teams.

@arngorf 7 лет назад

I would have liked her to use a little time explaining why quantity in data is good as well, instead of just bashing it. If it really is this bad, and not just her collection of anecdotes, she should have made her case better. Quantity in data is used >>so much

@runtrat9 7 лет назад

True intent of the video. Future Data Analyst: Hay look!, humans long ago listening to a women claiming she predicted the future and able to predicts human action! Future audience: Ha,ha,ha,ha These people are stupid. The cycle forever continues. There is no future, there is not end. It is all a constant.

@mrmslv Год назад

so she pretended to be a low income person? lmao okay

@oliviamcomer 7 лет назад

First lol

@ryambo8713 5 лет назад

Wow so that’s why that kid sold his organ for one!

@lugosky02 6 лет назад

This could've been an amazing talk if the presenter would've spent more time on the nitty gritty as opposed to spending 15 minutes telling a defunct company I told you so. 8/10

@0stre 7 лет назад

legalize weed :P

@addieroll6261 7 лет назад

I was expecting to really like this talk. Instead, I was disappointed at the lack of substance. She only gave one example of the problem, involving a company that clearly rejected her findings, and offered to hire more of her profession as a solution. The worst part is that I agree with her but she didn't even try to make a case for her point. Weak.

@silviazhang1001 5 лет назад

中国好的地方先进的地方你不说光用一些丑陋面 SHAME ON YOU

@etlens 4 года назад

Silvia Zhang 哈哈，要不要这么小气？

@badaltripathi2648 7 лет назад

Do you know who's beautiful? Read the second word in the first sentence.

@tempname8263 7 лет назад

Don't tell me what to do!

@warrencj21 7 лет назад

Everytime she says 'expecially', a kitten dies.

@Q_z_ 7 лет назад

Charles Warren every time you misspell especially a puppy dies

@warrencj21 7 лет назад

I guess my trollin' was too subtle. My point was the mispronunciation of the word. I hoped my phonetic spelling would highlight that.

@Kakakakakakakakakakakaka684 5 лет назад

She needs to stop giggling so damn much

@GloryBlazer 7 лет назад

Do you know what is Beatiful ? take the number of letters from the first word, then divide by 0.5 then take the number, and count the words, where do you end ?

@Epsilon2045 7 лет назад

Hey first like First comment 9th veiwer

@daxxonjabiru428 7 лет назад

Wang.

@dojiro6891 3 года назад

She hasn't said anything. She told Nokia to invest in smart phones because she saw that Chinese migrants really liked them and so Nokia were wrong and she's smarter than them? People make guesses based on hunches like this all the time - and it's easy with hindsight to say they should have listened to you. Maybe Barry from the pub is also a genius who Nokia should have hired - he also said Apple were going to be huge... And then a bunch of rambling. It's more an illustration of how people can be convinced by an egotistical strong speaker who is saying very little.