Anthony Goldbloom: The jobs we'll lose to machines -- and the ones we won't
آنتونی گلدبلوم: مشاغلی که ما به ماشین ها می بازیم -- و اونهایی که ما برنده ایم
Anthony Goldbloom crowdsources solutions to difficult problems using machine learning. Full bio
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and her dad is a lawyer.
و پدرش وکیل است.
are going to look dramatically different.
did a study on the future of work.
مطالعه ای در مورد آینده کار انجام دادند.
in every two jobs have a high risk
معرض ریسک بالایی است
of this disruption.
of artificial intelligence.
that humans can do.
را تقلید کنند.
on the cutting edge of machine learning.
بر روی آخرین فن آوریهای دانش ماشین کار می کند.
hundreds of thousands of experts
for industry and academia.
on what machines can do,
از آنچه ماشین آلات می توانند انجام دهند،
automate or threaten.
در معرض خطرند.
into industry in the early '90s.
صنعت بازکرد.
credit risk from loan applications,
handwritten characters from zip codes.
کد پستی هایی که با دست نوشته شدند.
dramatic breakthroughs.
پیشرفت های چشمگیری را ایجاد کرده ایم.
of far, far more complex tasks.
خیلی پیچیده تری است.
that could grade high-school essays.
که بتواند مقالات دبیرستان را رتبه بندی کند به چالش کشید.
were able to match the grades
قادر به مطابقت با نمراتی بودند
an even more difficult challenge.
and diagnose an eye disease
و بیماری چشمی
were able to match the diagnoses
قادر به مطابقت با تشخیص
machines are going to outperform humans
ماشین ها در انجام وظایفی این چنین
over a 40-year career.
در طول ۴۰ سال حرفه ای خود بخواند.
or see millions of eyes
against machines
that machines can't do.
ولی ماشین ازانجام آن ناتوان است.
very little progress
they haven't seen many times before.
از پس چیزهای که قبلا چندین بار مشاهده نکردند بربیایند.
of machine learning
دانش ماشین
from large volumes of past data.
seemingly disparate threads
working on radar during World War II,
طول جنگ جهانی دوم بر روی رادار کار می کرد،
was melting his chocolate bar.
of electromagnetic radiation
the microwave oven.
اجاق مایکروویو شد.
example of creativity.
happens for each of us in small ways
برای هر یک از ما در مقیاس های کوچکتر
نمی توانند با ما رقابت کنند،
novel situations,
on the human tasks
for the future of work?
in the answer to a single question:
to frequent, high-volume tasks,
وظایف با حجم بالا می باشد،
tackling novel situations?
machines are getting smarter and smarter.
ماشین ها هوشمندانه تر می شوند.
They diagnose certain diseases.
بیماری های خاص را تشخیص می دهد.
they're going to conduct our audits,
from legal contracts.
for complex tax structuring,
on novel situations.
پیشرفت خاصی نمی کنند.
needs to grab consumers' attention.
نیاز به جلب توجه مصرف کنندگان دارد.
finding gaps in the market,
شکاف ها در بازار،
the copy behind our marketing campaigns,
پشت کمپین بازاریابی ما را خلق می کنند،
our business strategy.
استراتژی کسب و کار ما هستند.
ahead of the machines.
اونوقت تو همیشه از ماشین جلوتر خواهی بود.
ABOUT THE SPEAKER
Anthony Goldbloom - Machine learning expertAnthony Goldbloom crowdsources solutions to difficult problems using machine learning.
Why you should listen
Anthony Goldbloom is the co-founder and CEO of Kaggle. Kaggle hosts machine learning competitions, where data scientists download data and upload solutions to difficult problems. Kaggle has a community of over 600,000 data scientists and has worked with companies ranging Facebook to GE on problems ranging from predicting friendships to flight arrival times.
Before Kaggle, Anthony worked as an econometrician at the Reserve Bank of Australia, and before that the Australian Treasury. In 2011 and 2012, Forbes named Anthony one of the 30 under 30 in technology; in 2013 the MIT Tech Review named him one of top 35 innovators under the age of 35, and the University of Melbourne awarded him an Alumni of Distinction Award. He holds a first call honors degree in Econometrics from the University of Melbourne.
Anthony Goldbloom | Speaker | TED.com