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Big Data, Big Opportunities From Buzz to Biz
Presented on December 6, 2013
Christopher Nguyen, PhD Co-Founder & CEO
Learn from Data
Predict the Unknowns from the Knowns
automatic customer segmentation
BIG DATA= PROBLEMS
BIG DATA + BIG COMPUTE =BIG OPPORTUNITIES
“Alternative” Definition
Competitive Advantages It Brings Holistic business insights See underlying patterns Predict unknowns from knowns Automate decisions
Technology Cost/Benefit Threshold
Why
‘98 ‘06 ‘09 ‘11‘04
A Timeline of Big Data Techology
Google Search
Build biggest Index of the
Internet
Jeff Dean
Doug Cutting
MapReduce Paper
Hadoop
Qi Lu
Eric14
Hadoop
MapR Cloudera
Hortonworks
HOW are people operationalizing Big Data
0%
50%
100%
EMA Research, Operationalizing Big Data
2012 2013
% Respondents with Big Data Projects Already in Operation
Interactive, Ad Hoc Business Query
Insight Discovery on Aggregated Operational Data
Finance
Engineering
Marketing
Sales
Google BigQuery
Employee Engagement with Operational Data goes through the roof
—Jim Barksdale, former Netscape CEO
If we have data, let’s go with that.
If all we have are opinions, let’s go with mine.
User Survey Opinion “We prefer 30-result pages to 10-result pages”
Empirical Data The extra 500ms causes users to search by 25% less
That’s $12 Billion per year!
Google Search Latency Experiment
—Marissa Mayer, Google then-VP
Why? Users didn’t ask enough questions.
!
Why not? Friction too high.
Centralized Data Service Bureau
Didn’t work out
Team self collect, analyze, & learn from own data Lower latency to insight Positive feedback loop to improve tools
Distributed, Self-service Data Tools
Build Me the Biggest Hangars & the
Longest Runways
I will make sure the planes come—Eric Schmidt, Google then-CEO
Deep Learning Neuron
(Source: http://capone.mtsu.edu/wlangsto/)
Human
Machine
Deep Learning Neural Networks
(Source: http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol2/cs11/article2.html)
Human
Machine
Reading Digits in Zip Codes Geoff Hinton, Yann Lecun, et al.
Demo !
http://www.cs.toronto.edu/~hinton/adi/index.htm
Google Brain Project 16,000 Computers to Recognize Cats
Application Unsupervised Image Classification
and 19,999 other concepts Andrew Ng et al.
Source: http://www.nytimes.com/2012/06/26/technology/in-a-big-network-of-computers-evidence-of-machine-learning.html
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-google-later/
Portugal -
China +
Bejing =
Lisbon !
!!!
Machine Translation Quoc V. Le et al.
Source: http://arxiv.org/pdf/1309.4168v1.pdf
Computing Paradigm Shift
Abstractions from Human Intelligence
Abstractions by Machine Intelligence
Computing Pattern
Explicit High-Level Instructions
Computing Pattern
Implicit Pattern Learning
SUMMARYWHAT & WHY of Big Data
EXAMPLES & BEST PRACTICES of Big Data
EXCITING FUTURE IMPLICATIONS of Big Data