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!

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

Simply amazing! Thanks prof. Wang!!

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

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

@MrHayada

7 жыл бұрын

leadfoot9x ouch

@projectjt3149

5 жыл бұрын

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 жыл бұрын

lololol nice one

A great speaker.

wonderful point of view！

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

thanks for sharing ^^

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!

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!

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

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

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

@kinsmed

7 жыл бұрын

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

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.

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

Perfect example is Google/KZread. 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, KZread 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 жыл бұрын

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

Is "thick data" anything else than qualitative data?

@cubicinfinity2

5 жыл бұрын

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 жыл бұрын

No

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！！！

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.

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

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.

Hello Trisha!! From a friend of Adrienne.

I want one of those phones

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

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..

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

@heinrichpeters5790

5 жыл бұрын

Juicy data

@etlens

4 жыл бұрын

Meaty data

@MrMduchesne23

3 жыл бұрын

sweet bbq sauce dipped rotisserie data.

@dmytrodance

27 күн бұрын

​@@MrMduchesne23😂

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.

This is dope

field study matters!

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

big data can help to understand user tendencies and preferred content

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 жыл бұрын

Ditto

Nokia must be kicking them selfs.

@alejandroleal9443

3 жыл бұрын

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

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.

Big data meets quantum computing.

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。。。。

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

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

Whos here from KIN 122

@kinggaming4594

3 жыл бұрын

Mark ep lmao

I've watched this from Ted somewhere

@techkickin

7 жыл бұрын

Heboka Yepthomi where's exactly? 😂

English subs are missing

QuaNTitative + QuaLitative Data = BIG Insights

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 жыл бұрын

lol

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

trDucir al español

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

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

Rip nokia…..wc ios and samsung

一叶障目不见泰山

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

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?

j

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

@user-rh8hi4ph4b

7 жыл бұрын

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 жыл бұрын

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 жыл бұрын

That’s what happened

summmarize

What an anology!

thicc data

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

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

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.

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

what is she selling?

@cinlocybin

6 жыл бұрын

Qual research

@jhonbowrncantspell

5 жыл бұрын

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

First lol

This video is my bible. Still.

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.

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

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

legalize weed :P

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

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 жыл бұрын

Silvia Zhang 哈哈，要不要这么小气？

She needs to stop giggling so damn much

Hey first like First comment 9th veiwer

OMG such a genius ! (sarcastic) this is the kind of self inflating ego Ted x that are painful to watch

Wang.

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 ?

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.

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

@tempname8263

7 жыл бұрын

Don't tell me what to do!

Everytime she says 'expecially', a kitten dies.

@Q_z_

7 жыл бұрын

Charles Warren every time you misspell especially a puppy dies

@warrencj21

7 жыл бұрын

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

I loved the talk and the presenter. She exudes's personality, but the shoes do nothing for me

@Mrcooljoe567

7 жыл бұрын

Mike Servis you are a legend

@kinsmed

7 жыл бұрын

Huh. Shoes didn't show up at all in the description. Are you sure you subscribed for the right reason?

@yoyo7090

6 жыл бұрын

Look who’s talking. Youlook awful though, old man. You are not eligible to say that.

Not a good orator,,,, it was indeed very tough to comprehend what she wanted to convey?

@Jcdlf7

7 жыл бұрын

big data needs some real human experience to make sure that the product is good. eccentially just get humans to live to make money

@zeeweirdeye

6 жыл бұрын

I comprehended it perfectly fine.