The human insights missing from big data | Tricia Wang
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- čas přidán 1. 08. 2017
- 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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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.
leadfoot9x ouch
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.
lololol nice one
wonderful point of view！
A great speaker.
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!
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!
Well yes, statistics don't show individual stories and therefore don't always reveal the entire story.
You must not have watched the video.
That was her exact point.
Thick Data is quite a necessary thing for any decision in a company, it really lets you know the sentimental part of business
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.
*TED! You've motivated me to start CZcams and I'm only at 2,997 but I'm loving making videos a ton. Thank you!!*
What was that bit near the end about the NSA skynet and thousands of deaths in Pakistan? I'm definitely missing something...
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
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！！！
Is "thick data" anything else than qualitative data?
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.
No
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.
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.
Hello Trisha!! From a friend of Adrienne.
I want one of those phones
Perfect example is Google/CZcams. 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, CZcams changed background colour to pure white, so now you can't see if a which tab you are currently on. Stupid programmers/system analysts.
well, what do you think about youtube and google now? after 3 years...
HARD data, BIG data... and now, THICK data
Juicy data
Meaty data
sweet bbq sauce dipped rotisserie data.
This is dope
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..
field study matters!
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.
Why would you ever be in a barn during a tornado??
This just in: the Grecian oracle absolves me from having to make my deterministic understanding of the universe
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.
Ditto
Nokia must be kicking them selfs.
In 2013, Nokia Mobile division was sold to Microsoft. Now, Nokia it's mades network components and infrastructure.
Big data meets quantum computing.
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.
English subs are missing
Whos here from KIN 122
Mark ep lmao
I've watched this from Ted somewhere
Heboka Yepthomi where's exactly? 😂
Chaos is a dance between quality and quantity. Everything in our universe follows the immutable mystic law of the lotus flower.
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
QuaNTitative + QuaLitative Data = BIG Insights
Rip nokia…..wc ios and samsung
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.
lol
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。。。。
>Nokia didn't follow my orders and because of that they nearly went bankrupt
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.
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.
That’s what happened
Her studies are needed, but not for now, machines should be based on precise quantitative data.
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
6:45 android is linux. And why did she use three grays.
一叶障目不见泰山
j
thicc data
"what is missing from our models"
path for the AI
What an anology!
summmarize
what is she selling?
Qual research
Tryna sell her ethnography PhD students/friends to F500 data science teams.
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?
This video is my bible. Still.
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
There is a simple and naive way to predict the future: create it now.
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.
so she pretended to be a low income person? lmao okay
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
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.
First lol
Wow so that’s why that kid sold his organ for one!
legalize weed :P
Everytime she says 'expecially', a kitten dies.
Charles Warren every time you misspell especially a puppy dies
I guess my trollin' was too subtle. My point was the mispronunciation of the word. I hoped my phonetic spelling would highlight that.
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 ?
Do you know who's beautiful? Read the second word in the first sentence.
Don't tell me what to do!
中国好的地方先进的地方你不说 光用一些丑陋面 SHAME ON YOU
Silvia Zhang 哈哈，要不要这么小气？
She needs to stop giggling so damn much
Wang.
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.
OMG such a genius ! (sarcastic) this is the kind of self inflating ego Ted x that are painful to watch
I loved the talk and the presenter. She exudes's personality, but the shoes do nothing for me
Mike Servis you are a legend
Huh. Shoes didn't show up at all in the description.
Are you sure you subscribed for the right reason?
Look who’s talking. Youlook awful though, old man. You are not eligible to say that.
Hey first like
First comment
9th veiwer
Not a good orator,,,, it was indeed very tough to comprehend what she wanted to convey?
big data needs some real human experience to make sure that the product is good. eccentially just get humans to live to make money
I comprehended it perfectly fine.