Extracting Intelligence from Big Data

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Extracting Intelligence from Big Data Ruggero Altair Tacchi, Data Scientist at Quid, Inc. March 27th 2014 Big Data is one of the hottest topics in the world of Data Science. And yet most of the effort seems focussed on describing surface level information in the datasets, without ever understanding the deeper relationships found through exploring the data as logical, interrelated clusters. Quid is pioneering solutions in Data Science to help extract intelligence from data, using Natural Language Processing and Big Data Visualization techniques to enable the exploration and understanding of complex relationships within a dataset. In the presentation we will demonstrate some of our dimensionality reduction, clustering, and visualization techniques, using a live demo of the Quid platform. We will also show some case studies from prior analyses, including mapping tech startup innovation, news analysis, and US patent analysis. Big Data Visualization Meetup - South Bay http://www.meetup.com/Big-Data-Visualisation-South-Bay/

Technology Education

© 2014 Quid, Inc.1
Big Data Visualization Meetup @ CA Technologies
Ruggero Altair Tacchi, PhD
Data Scientist at Quid
March 27, 2014
BIG DATA INTELLIGENCE
ruggero@quid.com

© 2014 Quid, Inc.22
Quid is a Business Intelligence platform. Quid has created a full-stack
platform that brings together the world’s business data streams
ü  Company data
ü  News data
ü  Patent data
ü  Organizational data
ü  Scientific papers
…
…
…

© 2014 Quid, Inc.33
Q: Who owns the discussion about the future of the car?

© 2014 Quid, Inc.44 ruggero@quid.com
Q: Who owns the discussion about the future of the car?

© 2014 Quid, Inc.66 Source: xkcd 1334
Search is hard

© 2014 Quid, Inc.77
224
239
248
262
286
311
346
346
396
520
550
571
659
735
1,065
Chrysler
Chevrolet
Hyundai
Honda
Volkswagen
Nissan
Volvo
Apple
Mercedes
General
Motors
BMW
Audi
Toyota
Ford
Google
Top entities within future car news
network, by number of articles
23%
16%
14%
12%
12%
11%
9%
8%
8%
7%
6%
6%
5%
5%
5%
Share of voiceProportion of articles by theme
New car
features
Autonomous
driving
A: Google has 23% share of voice in the discussion on the
future of the car; traditional players focused on new features,
not capitalizing on interest in future / autonomous driving

© 2014 Quid, Inc.88
Q: Which media sources are most closely broadcasting
NASA’s press releases?

© 2014 Quid, Inc.99
-100 -80 -60 -40 -20 0 20 40 60 80 100
The New York Times
The Business Insider
CBC News
Aero-News.net
Popular Mechanics
CBS News
International Business Times
Everything Alabama
CNET
PerthNow
Business Wire
The Register
RedOrbit
Boston.com
Space Ref
Freshnews.com
EurekAlert
Softpedia
HeraldOnline.com
Reuters
Engadget
CNN
BBC News
Geekosystem.com
Slashgear
Gizmag
The Inquisitr
Big Pond News
Kurzweilai
Planetary Society Blog
ITWorld.com
The Verge
Ecoustics
More representative
Alignment Score
Less representative
A: The New York Times’ articles most closely reflect
narratives that NASA originates

© 2014 Quid, Inc.1111 Source: xkcd 173
Networks, not lists

© 2014 Quid, Inc.1212
Analyzing ~1,500 long-form articles about space, thematic clusters form
around NASA’s past & present, as wells as the future of commercial space
Present: NASA-led Space
Exploration (49%)
Future: Commercial
Space (26%)
Past: Traditional
NASA (25%)
Long-form news network, colored by conversation themes, major themes labeled

© 2014 Quid, Inc.1313
Long-form news network, NASA publications highlighted and clusters containing them labeled
NASA’s press release strategy has focused on the peripheral; it is largely
absent from the core conversation debating the future vs. the past of space
Source
NASA
Other
Vesta Asteroid
Moon
SpaceX & Dragon Capsule
Mars Curiosity
Hubble Telescope & Exoplanets
Space Shuttle

© 2014 Quid, Inc.1414
Quid Technology
Company A
Company B
< >
< >
< >
< machine vision >
< gaze coordinates >
< eye tracking >
Analyst has a
big-picture view
+
Ability to zoom
down to details
KEYWORDS
EXTRACTED
FROM TEXT
REPLICATED AT A
VERY LARGE SCALE
LINKS ESTABLISHED
USING SHARED
LANGUAGE
< eye tracking >
< gestures >
< eye control >

< Neural Connectivity >
< Autism >
< Mathematical >
< Divergent thinking >
NATURAL LANGUAGE PROCESSING

Neural Connectivity
Autism
Mathematical
Divergent thinking
Concepts
DIGITAL SIGNATURE
Significance

Document #1
Document 2
Document 3
Document 4
DIGITAL SIGNATURE

© 2014 Quid, Inc.1919
From lists to networks, from networks to lists

© 2014 Quid, Inc.2121
For information contact us at
http://quid.com/contact
… and we’re hiring!
http://quid.com/careers
Danielle Ben-Gera Kartik Sundar Joey Hobbs Ruggero Altair Tacchi

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Extracting Intelligence from Big Data

2. © 2014 Quid, Inc.22 Quid is a Business Intelligence platform. Quid has created a full-stack platform that brings together the world’s business data streams ü  Company data ü  News data ü  Patent data ü  Organizational data ü  Scientific papers … … …

7. © 2014 Quid, Inc.77 224 239 248 262 286 311 346 346 396 520 550 571 659 735 1,065 Chrysler Chevrolet Hyundai Honda Volkswagen Nissan Volvo Apple Mercedes General Motors BMW Audi Toyota Ford Google Top entities within future car news network, by number of articles 23% 16% 14% 12% 12% 11% 9% 8% 8% 7% 6% 6% 5% 5% 5% Share of voiceProportion of articles by theme New car features Autonomous driving A: Google has 23% share of voice in the discussion on the future of the car; traditional players focused on new features, not capitalizing on interest in future / autonomous driving

9. © 2014 Quid, Inc.99 -100 -80 -60 -40 -20 0 20 40 60 80 100 The New York Times The Business Insider CBC News Aero-News.net Popular Mechanics CBS News International Business Times Everything Alabama CNET PerthNow Business Wire The Register RedOrbit Boston.com Space Ref Freshnews.com EurekAlert Softpedia HeraldOnline.com Reuters Engadget CNN BBC News Geekosystem.com Slashgear Gizmag The Inquisitr Big Pond News Kurzweilai Planetary Society Blog ITWorld.com The Verge Ecoustics More representative Alignment Score Less representative A: The New York Times’ articles most closely reflect narratives that NASA originates

12. © 2014 Quid, Inc.1212 Analyzing ~1,500 long-form articles about space, thematic clusters form around NASA’s past & present, as wells as the future of commercial space Present: NASA-led Space Exploration (49%) Future: Commercial Space (26%) Past: Traditional NASA (25%) Long-form news network, colored by conversation themes, major themes labeled

13. © 2014 Quid, Inc.1313 Long-form news network, NASA publications highlighted and clusters containing them labeled NASA’s press release strategy has focused on the peripheral; it is largely absent from the core conversation debating the future vs. the past of space Source NASA Other Vesta Asteroid Moon SpaceX & Dragon Capsule Mars Curiosity Hubble Telescope & Exoplanets Space Shuttle

14. © 2014 Quid, Inc.1414 Quid Technology Company A Company B < > < > < > < machine vision > < gaze coordinates > < eye tracking > Analyst has a big-picture view + Ability to zoom down to details KEYWORDS EXTRACTED FROM TEXT REPLICATED AT A VERY LARGE SCALE LINKS ESTABLISHED USING SHARED LANGUAGE < eye tracking > < gestures > < eye control >

15. < Neural Connectivity > < Autism > < Mathematical > < Divergent thinking > NATURAL LANGUAGE PROCESSING

16. Neural Connectivity Autism Mathematical Divergent thinking Concepts DIGITAL SIGNATURE Significance

17. Document #1 Document 2 Document 3 Document 4 DIGITAL SIGNATURE

18. Document #3 Document #1 (similar)

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