adatao bigdata summit v02

8/13/2019 Adatao BigData Summit v02

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Big Data, Big OpportunitFrom Buzz to Biz

Presented on December 6, 2013

Christopher Nguyen, PhDCo-Founder & CEO


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Step 1

Instrument Calibration


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do you get when you cross

Atlantic Titan

What


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AbouHalfway


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do you get when you cross

What


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Big DataHadoopIf are not enough

Whado we ne


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WHAT isBig Data ?


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Huge Volume

High Velocity

Great Variety

Big DataProblemsStandard Denition


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Learn from Data

Predict the Unknowns from the Knowns

automatic custom

B I G D A T A = P R O B L E M S

BIG DATA + BIG COMPUTE=BIG OPPORTUNITIESAlternative Denition


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WHATs

the bigdeal?Ive had

big data

since the 60s


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WHATs

the bigdeal?

Weve had the sun for a fewthousand years,

right?


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Big Data:The questionisnt WHAT.Its WHY.


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Competitive Advantages It BringsHolistic business insights See underlying patterns Predict unknowns from knowns Automate decisions

Technology Cost/Benet Threshold


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WHERE didBig DataTechnologycome from ?


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98 06 0904

A Timeline ofBig Data Techology

GoogleSearch

Build biggest Index of the

Internet

Jeff Dean

Doug Cutting

MapReduce Paper

Hadoop

Qi Lu

Eric14

Hadoop

MapR Cloudera


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WHAT SHOULD Big Data AnalyticsLOOK like ?


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HOW are peopleoperationalizingBig Data

0%

50%

100%

EMA Research

2012 2

% Respondents with Big DAlready in Opera


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Interactive, Ad Hoc Business Query

Insight Discovery on AggregatedOperational Data

Finance

Engineering Sales

Google BigQuery

Employee Engagement with Operational Data goes thr


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Mobile AdPlatform

Ad Targeting

CTR Prediction

100+ Million Devices


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Customer ServiceProvider

Product Recommendation

Cross-channelUser Experience Optimization


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Are therePa t erns ofBig-DataSUCCESS ?


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Have aData-drivenCULTURE


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Jim Barksdale, former Netscape CEO

If we have data ,lets go with that.

If all we have are opinions ,lets go with mine.


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User Survey Op We prefer 30-result pages to 10-res

EmpiricalThe extra 500ms causes users to search by 2

Thats $12 Billion per ye

Google Search Latency Experiment

Marissa Mayer, Googl


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VS. 2CentralizedData Service BureauDistributedSelf Service Da ta Tools


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Why?Users didnt ask enough

Why noFriction too h

CentralizedData Service Bureau

Didnt

work out


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Team self collect, analyze, & learn from own data

Lower latency to insight

Positive feedback loop to improve tools

Distributed,Self-service Data Tools


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Watch WHICH pa t ernyour Chief DataOffi cer chooses


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3Think BIG about Big DataOpportunities


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Build


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BuildBiggest Hanga

Longest R

I will make surethe planes comeEric Schmidt, Google then-CEO


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WHY Think BigaboutBig Data ?


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Big Data + Machine Learning

Algorithms ModelsData+ =Brain WisdomExperiences+ =


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Deep Learning Neuron

(Source: http://capone.mtsu.edu/wlangsto/)

Human

Machine
http://capone.mtsu.edu/wlangsto/


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Deep Learning Neural Networks

Human

Machine

(Source: http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol2/cs11/article2.html)
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol2/cs11/article2.html


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Reading Digits in Zip CodesGeo ff Hinton, Yann Lecun, et al.

Demo

http://www.cs.toronto.edu/~hinton/adi/index.htm
http://www.cs.toronto.edu/~hinton/adi/index.htm


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Words are Vectors Mikolov et al.

Source: http://gigaom.com/2013/08/16/were-on-the-cusp-of-deep-learning-for-the-masses-you-can-thank

Portugal

-China+

Bejing=

Lisbon

!!!
http://gigaom.com/2013/08/16/were-on-the-cusp-of-deep-learning-for-the-masses-you-can-thank-google-later/


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Machine Translation Quoc V. Le et

Source: http://arxiv.org/pdf/1309.4168v1.pdf
http://arxiv.org/pdf/1309.4168v1.pdf


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Big Data + Big Computewill lead tosuper-human

Machine Intelligencin 10+ y


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SUMMARY WHAT & WHY of Big Data

EXAMPLES & BEST PRACTICES of Big

EXCITING FUTURE IMPLICATIONS of


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Thank you!

adatao bigdata summit v02

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