SlideShare a Scribd company logo
1 of 27
Download to read offline
November 2017
Monitoring world geopolitics
through Big Data
Alvaro Ortiz and Tomasa Rodrigo
Big Data Spain 2017
Click here to modify the style of the master title
Monitoring world geopolitics through Big Data
Summary
Introduction: why and how we use Big Data01
Geopolitical and social analysis02
The geography and digital transformation03
Monitoring world geopolitics through Big Data
01Introduction:
why and how we use Big Data
Monitoring world geopolitics through Big Data
Traditional data could not answer some relevant questions
4
Geopolitical events
Political events and social reaction
Natural disasters and epidemics
… avoiding us to measure their economic impact…
… in a world with increasing risks and uncertainty
The use of Big Data and Data science techniques allows
us to quantify these trends
Monitoring world geopolitics through Big Data
New framework in the digital era…
5
Novel data-driven computational approaches are needed to enable the new digital era to
exploit the new opportunities where data can be used to study the world in real time from micro
to macro level
New answers to old
questions
Better and faster
infrastructure
New availability of data
Higher computational abilities to
face more data granularity
Combination of historical data
with real time data
Advanced data science
techniques and algorithms
Monitoring world geopolitics through Big Data
Deepening the
statistical and
econometric skills
to analyze and
deal with high-
dimensional data
Interpreting the
results:
summarize,
describe and
analyze the
information
Developing the
data management
and programming
capabilities to
work with large-
scale datasets
Making the right
questions
…which needs the development of new competences to take
advantage of it
New data may end up changing the way in which economists approach empirical questions
and the tools they use to answer them 6
Monitoring world geopolitics through Big Data
Our working process
7
GDELT
(Global Database
on Events,
Location
and Tone)
Clean,
Aggregate
& transform
the data
Fuse,
visualize
& analyze
the data
BigQuery
Data
Storage
(SQL)
Databases SaaS Analysis Visualization
Monitoring world geopolitics through Big Data
What is GDELT?
8
… georeferenced across
the entire planet…
… including over 300 events
around the world and more than
30000 themes…
…and collecting emotions using
some of the most sophisticated
algorithms
Open database of human
society from every corner of the
globe dating back to 1979 …
Global Database on Events Location and Tone
Monitoring world geopolitics through Big Data
GDELT database and sentiment analysis
99
The GDELT translingual platform represents
the largest real time streaming news machine
translation of the world: 99% of its daily non-
English volume is translated in real time into
English
A real time computable record of global society
that can be visualized, analyzed, modeled and
forecasted
It moves towards a global perspective on
what’s happening and how the world is feeling
about it
𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐭𝐨𝐧𝐞 =
𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒 𝑤𝑜𝑟𝑑𝑠 − 𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒 𝑤𝑜𝑟𝑑𝑠
𝑇𝑜𝑡𝑎𝑙 𝑤𝑜𝑟𝑑𝑠
+
Global Content Analysis Measures (GCAM)
𝟒𝟎 different 𝐬𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐢𝐞𝐬
to capture
more than 𝟐𝟑𝟎𝟎 𝐞𝐦𝐨𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐬
with a value score
(WordNet Affect 1.0, WordNet Affect 1.1, WordNet Domains 3.2, WordNet 3.1
Lexical Categories, Subjectivity Lexicon, SentiWords, SentiWordNet 3.0, Lexicoder
Sentiment Dictionary, Linguistic Inquiry and Word Count,…)
Monitoring world geopolitics through Big Data
Our products
10
Geographical Analysis Housing Prices
(sentiment on Housing Prices)
Measuring Sentiments
(sentiment Analysis on Economy and Society)
Financial Stability & Macroprudential
(ECB & FED FS index by FED Board)
Monetary & Stability tones by Central
Banks
Political, Geopolitical Social Indexes
(Political Indexs)
Color Maps NAFTA Topics
(Nafta Project)
Politics & Financial Networks
(Political Netwoks)
Mix Hard data & Sentiment & VAR models
(CBSI and Turkey Sentiment Indexes)
Monitoring world geopolitics through Big Data
02Geopolitical and social analysis
Monitoring world geopolitics through Big Data
Tracking Geopolitics on real time
is useful to identify the main hot spots and potential spillovers
12Source: www.gdelt.org & BBVA Research
Conflict Intensity Map Oct 2017
(Number of conflicts/ Total events)
Monitoring world geopolitics through Big Data
From an historical perspective…
13Source: www.gdelt.org & BBVA Research
BBVA Research World Conflict Intensity
Index 1979-2017
World Protest Intensity Map 1979- 2017
79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17
USA
UK
Norway
Sweden
Austria
Germany
France
Netherlands
Italy
Spain
Belgium
Ireland
Portugal
Greece
Poland
Czech Republic
Hungary
Bulgaria
Romania
Croatia
Turkey
Russia
Ukraine
Georgia
Kazakhstan
Moldova
Azerbaijan
Armenia
Morocco
Algeria
Tunisia
Libya
Egypt
Israel
Jordan
Syria
Iraq
Iran
UAE
Bahrain
Qatar
Oman
Saudi Arabia
Mexico
Brazil
Chile
Colombia
Peru
EMEurope&CISDevelopedMarketsN.Africa&MiddleEastLATAM
Monitoring world geopolitics through Big Data
…to the current “hot” spots…
14Source: www.gdelt.org & BBVA Research
BBVA Research Refugees Flows Map in 2015-17
Number of media citations about refugees’ inflows and outflows
BBVA Research Asia Conflict Intensity
Index 2008-17
Monitoring world geopolitics through Big Data
Social unrest events across the world: Cairo, Istanbul and Hong Kong cases
Protest events
Source: www.gdelt.org & BBVA Research
… in “high definition”
15
Monitoring world geopolitics through Big Data
Democracy
Education
Election
Leader
Media msm
Self identified human rights
Broadcast and media
Public sector management
Governance
Political party republican
Anti corruption
Peace operations and conflict management
Arrest
Criminal justice
Social development
Human rights
Dictatorship
Communist
Soldiers
Fragility conflict and violence
Conflict and violence
Political violence and war
Nuclear and chemical war
Military
Manmade disaster implied
Political violence and civil war
Weapons of mass destruction
Nuclear energy
Weapons bomb
Weapons cruise missile
Weapons surface to air missile
Weapons warhead
Terror
Armedconflict
Bombthreat
Kill
2015 2016 2017
We can check hot spots like North Korea tensions in detail…
Topics colormap related with North Korea 2015- 17Topics network related with North Korea 2017
16
Monitoring world geopolitics through Big Data
… the China’s links with the rest of the world…
Source: www.gdelt.org & BBVA Research
Chinese slowdown: media perception and country network
Oman
Qatar
Iran
Kazakhstan
Russia
U.A.E.
Iraq
Nicaragua
Saudi ArabiaMexico
Chile
Dominican R.Brazil
Bolivia
Ecuador
Venezuela
Peru
Panama
Argentina
Spain
Austria
Ukraine
Israel
Greece
Poland
Belgium
Czech Republic
Italy
Netherlands
Finland
Ireland
Iceland
Portugal
Hungary
Yemen
Sri Lanka
Macau
Indonesia
Philippines
Taiwan
Cambodia
Pakistan
Turkey
Brunei
N. Zealand
Burkina Faso
Singapore
Thailand
Malaysia
Zimbabwe
Uganda
Nigeria
Zambia
Congo
Mozambique
Kenya
Sweden
Angola
E. Guinea
EthiopiaSouth Africa
France
US
UK
Japan
Australia
Canada
S. Korea India
Switzerland
Germany
Hong Kong
China
17
Monitoring world geopolitics through Big Data
… the world trade evolution from an historical perspective…
BBVA Research World Trade Support Index
(Tone & Coverage verbal cooperation at WTO)
-2
0
2
4
6
8
10
12
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2008
2009
2010
2011
2012
2013
2014
2015
2016
Verbal Cooperation (3 months mov.avg)
Material Cooperation (3 months mov.avg)
BBVA Research Trade Support Index
Changes 2008-17
Source: www.gdelt.org & BBVA Research
18
Monitoring world geopolitics through Big Data
Spanish perception around the world according to the media
Negative tone
Positive tone
Neutral tone
Source: www.gdelt.org & BBVA Research
… and even the Spanish economic perception around the world
19
Monitoring world geopolitics through Big Data
03The geography and digital
transformation
Monitoring world geopolitics through Big Data
Media digital sentiment over the world in 2017 varies between regions…
21
Monitoring world geopolitics through Big Data
…and over time. Our index allows us to understand the driving
forces behind this evolution…
22Source: www.gdelt.org & BBVA Research
Media sentiment digital index and components
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
Mar-15
Apr-15
Apr-15
May-15
Jun-15
Jun-15
Jul-15
Aug-15
Aug-15
Sep-15
Oct-15
Nov-15
Nov-15
Dec-15
Jan-16
Jan-16
Feb-16
Mar-16
Above
average
ON
average
Below
average -2.4
-1.4
-0.4
0.6
1.6
2.6
apr-15
may-15
jun-15
jul-15
aug-15
sep-15
oct-15
nov-15
dec-15
jan-16
feb-16
mar-16
Digital Economy
-2.4
-1.4
-0.4
0.6
1.6
2.6
apr-15
may-15
jun-15
jul-15
aug-15
sep-15
oct-15
nov-15
dec-15
jan-16
feb-16
mar-16
Fintech
-2.4
-1.4
-0.4
0.6
1.6
2.6
apr-15
may-15
jun-15
jul-15
aug-15
sep-15
oct-15
nov-15
dec-15
jan-16
feb-16
mar-16
Digital Regulation
Emerging AsiaUSEurope Confidence Interval for Emerging Asia
Monitoring world geopolitics through Big Data
…focusing on particular cases such as the Big Data perception
evolution among the main world players
0
0.5
1
1.5
2
2.5
3
US
Malaysia
UK
Indonesia
Italy
India
US
World
Europe
EmergingAsia
Philippines
Germany
Spain
France
Vietnam
China
Bangladesh
Pakistan
2017 2015 2016
Big Data media sentiment in the world and by countries overt time
23
0.05
0.07
0.09
0.11
0.13
0.15
0.17
Feb-15
Apr-15
Jun-15
Aug-15
Oct-15
Dec-15
Feb-16
Apr-16
Jun-16
Aug-16
Oct-16
Dec-16
Feb-17
Apr-17
Jun-17
Aug-17
Oct-17
World media coverage on Big Data
Monitoring world geopolitics through Big Data
Turkey United Kingdom
France
India
Germany
Italy
Spain
Iran
Taiwan
Korea
Indonesia
Vietnam
Albania
Colombia
Hong Kong
Thailand
Philippines
Kosovo
Armenia
Switzerland
Peru
Portugal
Hungary Qatar
Belarus
NetherlandsBangladesh
Bolivia
Kuwait
Uruguay
Tunisia
Ecuador
Moldova
Bahrain
Slovenia
Sri Lanka
Cuba
Croatia
Estonia
Guatemala
Latvia
-3
-2
-1
0
1
2
3
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3
Digital evolution and its impact on employment and productivity
24
+
-
Jobs develompment
Productivityandinnovation
Importance of digital variables to explain job development and productivity
Monitoring world geopolitics through Big Data
You can find us at:
Source: www.gdelt.org & BBVA Research
Media sentiment digital index and components
BBVA Research webpage
LinkedIn
Twitter
25
November 2017
Monitoring world geopolitics
through Big Data
Alvaro Ortiz and Tomasa Rodrigo
Big Data Spain 2017

More Related Content

What's hot

IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...IRJET Journal
 
Data Provenance for Data Science
Data Provenance for Data ScienceData Provenance for Data Science
Data Provenance for Data SciencePaolo Missier
 
Data science Innovations January 2018
Data science Innovations January 2018Data science Innovations January 2018
Data science Innovations January 2018suresh sood
 
|QAB> : Quantum Computing, AI and Blockchain
|QAB> : Quantum Computing, AI and Blockchain|QAB> : Quantum Computing, AI and Blockchain
|QAB> : Quantum Computing, AI and BlockchainKan Yuenyong
 
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...Paolo Missier
 
Quo vadis, provenancer?  Cui prodest?  our own trajectory: provenance of data...
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...
Quo vadis, provenancer?  Cui prodest?  our own trajectory: provenance of data...Paolo Missier
 
A Model Design of Big Data Processing using HACE Theorem
A Model Design of Big Data Processing using HACE TheoremA Model Design of Big Data Processing using HACE Theorem
A Model Design of Big Data Processing using HACE TheoremAnthonyOtuonye
 
Big Data, The Community and The Commons (May 12, 2014)
Big Data, The Community and The Commons (May 12, 2014)Big Data, The Community and The Commons (May 12, 2014)
Big Data, The Community and The Commons (May 12, 2014)Robert Grossman
 
Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014
Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014
Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014Robert Grossman
 
Keynote on 2015 Yale Day of Data
Keynote on 2015 Yale Day of Data Keynote on 2015 Yale Day of Data
Keynote on 2015 Yale Day of Data Robert Grossman
 
4차 산업혁명 시대의 싱크탱크의 변화(kdi)
4차 산업혁명 시대의 싱크탱크의 변화(kdi)4차 산업혁명 시대의 싱크탱크의 변화(kdi)
4차 산업혁명 시대의 싱크탱크의 변화(kdi)Sungho Lee
 
Data privacy and security in ICT4D - Meeting Report
Data privacy and security in ICT4D - Meeting Report Data privacy and security in ICT4D - Meeting Report
Data privacy and security in ICT4D - Meeting Report UN Global Pulse
 
Mind My Value: A decentralised infrastructure for fair and trusted IoT data ...
Mind My Value:  A decentralised infrastructure for fair and trusted IoT data ...Mind My Value:  A decentralised infrastructure for fair and trusted IoT data ...
Mind My Value: A decentralised infrastructure for fair and trusted IoT data ...Paolo Missier
 
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
 
Big data and data mining
Big data and data miningBig data and data mining
Big data and data miningPolash Halder
 
Big data privacy issues in public social media
Big data privacy issues in public social mediaBig data privacy issues in public social media
Big data privacy issues in public social mediaSupriya Radhakrishna
 
Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...
Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...
Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...Amit Sheth
 
2016 03-16 digital energy luncheon
2016 03-16 digital energy luncheon2016 03-16 digital energy luncheon
2016 03-16 digital energy luncheonMark Reynolds
 
2016 06-07 data driven production
2016 06-07 data driven production2016 06-07 data driven production
2016 06-07 data driven productionMark Reynolds
 

What's hot (20)

IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...IRJET-  	  Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
IRJET- Improved Model for Big Data Analytics using Dynamic Multi-Swarm Op...
 
Data Provenance for Data Science
Data Provenance for Data ScienceData Provenance for Data Science
Data Provenance for Data Science
 
Data science Innovations January 2018
Data science Innovations January 2018Data science Innovations January 2018
Data science Innovations January 2018
 
|QAB> : Quantum Computing, AI and Blockchain
|QAB> : Quantum Computing, AI and Blockchain|QAB> : Quantum Computing, AI and Blockchain
|QAB> : Quantum Computing, AI and Blockchain
 
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter U...
 
Quo vadis, provenancer?  Cui prodest?  our own trajectory: provenance of data...
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...
Quo vadis, provenancer?  Cui prodest?  our own trajectory: provenance of data...
 
A Model Design of Big Data Processing using HACE Theorem
A Model Design of Big Data Processing using HACE TheoremA Model Design of Big Data Processing using HACE Theorem
A Model Design of Big Data Processing using HACE Theorem
 
Big Data, The Community and The Commons (May 12, 2014)
Big Data, The Community and The Commons (May 12, 2014)Big Data, The Community and The Commons (May 12, 2014)
Big Data, The Community and The Commons (May 12, 2014)
 
Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014
Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014
Biomedical Clusters, Clouds and Commons - DePaul Colloquium Oct 24, 2014
 
Keynote on 2015 Yale Day of Data
Keynote on 2015 Yale Day of Data Keynote on 2015 Yale Day of Data
Keynote on 2015 Yale Day of Data
 
4차 산업혁명 시대의 싱크탱크의 변화(kdi)
4차 산업혁명 시대의 싱크탱크의 변화(kdi)4차 산업혁명 시대의 싱크탱크의 변화(kdi)
4차 산업혁명 시대의 싱크탱크의 변화(kdi)
 
Data privacy and security in ICT4D - Meeting Report
Data privacy and security in ICT4D - Meeting Report Data privacy and security in ICT4D - Meeting Report
Data privacy and security in ICT4D - Meeting Report
 
Mind My Value: A decentralised infrastructure for fair and trusted IoT data ...
Mind My Value:  A decentralised infrastructure for fair and trusted IoT data ...Mind My Value:  A decentralised infrastructure for fair and trusted IoT data ...
Mind My Value: A decentralised infrastructure for fair and trusted IoT data ...
 
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...
 
Big data and data mining
Big data and data miningBig data and data mining
Big data and data mining
 
Big data privacy issues in public social media
Big data privacy issues in public social mediaBig data privacy issues in public social media
Big data privacy issues in public social media
 
Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...
Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...
Transforming Big Data into Smart Data for Smart Energy: Deriving Value via ha...
 
Data and science
Data and scienceData and science
Data and science
 
2016 03-16 digital energy luncheon
2016 03-16 digital energy luncheon2016 03-16 digital energy luncheon
2016 03-16 digital energy luncheon
 
2016 06-07 data driven production
2016 06-07 data driven production2016 06-07 data driven production
2016 06-07 data driven production
 

Similar to Monitoring world geopolitics through Big Data by Tomasa Rodrigo and Álvaro Ortíz at Big Data Spain 2017

Google-Next-Madrid-BBVA-Research inv.pdf
Google-Next-Madrid-BBVA-Research inv.pdfGoogle-Next-Madrid-BBVA-Research inv.pdf
Google-Next-Madrid-BBVA-Research inv.pdfMaria Adalfio
 
Future of value of data interim summary aug 2018-compressed
Future of value of data   interim summary aug 2018-compressedFuture of value of data   interim summary aug 2018-compressed
Future of value of data interim summary aug 2018-compressedFuture Agenda
 
20130618 presentation big data in financial services English
20130618 presentation big data in financial services English20130618 presentation big data in financial services English
20130618 presentation big data in financial services EnglishPascal Spelier
 
Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014
Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014
Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014Cezar Taurion
 
Geospatial Knowledge Infrastructure - Sanjay Kumar, WGIC
Geospatial Knowledge Infrastructure - Sanjay Kumar, WGICGeospatial Knowledge Infrastructure - Sanjay Kumar, WGIC
Geospatial Knowledge Infrastructure - Sanjay Kumar, WGICHarsha Vardhan Madiraju
 
Data is new oil eng
Data is new oil engData is new oil eng
Data is new oil engAlex Isaiev
 
Big Data For Development A Primer
Big Data For Development A PrimerBig Data For Development A Primer
Big Data For Development A PrimerUN Global Pulse
 
Rasetti fondazioneisi 29_06_2015
Rasetti fondazioneisi 29_06_2015Rasetti fondazioneisi 29_06_2015
Rasetti fondazioneisi 29_06_2015CSI Piemonte
 
Work/Technology 2050: Scenarios and Actions launch at The Embassy of Finland
Work/Technology 2050: Scenarios and Actions launch at The Embassy of FinlandWork/Technology 2050: Scenarios and Actions launch at The Embassy of Finland
Work/Technology 2050: Scenarios and Actions launch at The Embassy of FinlandJerome Glenn
 
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...BYTE Project
 
Open Data & ODI Overview 2014-11 (long version)
Open Data & ODI Overview 2014-11 (long version)Open Data & ODI Overview 2014-11 (long version)
Open Data & ODI Overview 2014-11 (long version)theODI
 
Open Data Institute presentation of european context
Open Data Institute presentation of european contextOpen Data Institute presentation of european context
Open Data Institute presentation of european contextliberTIC
 
Future value of data Final report - Draft summary lr 15 dec 2018
Future value of data  Final report - Draft summary lr 15 dec 2018Future value of data  Final report - Draft summary lr 15 dec 2018
Future value of data Final report - Draft summary lr 15 dec 2018Future Agenda
 
Big Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMUBig Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMUEdison Lim Jun Hao
 
Stanlib Global Property by Keillen Ndlovu
Stanlib Global Property by Keillen Ndlovu Stanlib Global Property by Keillen Ndlovu
Stanlib Global Property by Keillen Ndlovu STANLIB
 

Similar to Monitoring world geopolitics through Big Data by Tomasa Rodrigo and Álvaro Ortíz at Big Data Spain 2017 (20)

Google-Next-Madrid-BBVA-Research inv.pdf
Google-Next-Madrid-BBVA-Research inv.pdfGoogle-Next-Madrid-BBVA-Research inv.pdf
Google-Next-Madrid-BBVA-Research inv.pdf
 
Future of value of data interim summary aug 2018-compressed
Future of value of data   interim summary aug 2018-compressedFuture of value of data   interim summary aug 2018-compressed
Future of value of data interim summary aug 2018-compressed
 
20130618 presentation big data in financial services English
20130618 presentation big data in financial services English20130618 presentation big data in financial services English
20130618 presentation big data in financial services English
 
Bigdata ai
Bigdata aiBigdata ai
Bigdata ai
 
Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014
Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014
Big Data evento I ENAA (I Encontro Nacional de Anunciantes e Agencias 2014
 
Geospatial Knowledge Infrastructure - Sanjay Kumar, WGIC
Geospatial Knowledge Infrastructure - Sanjay Kumar, WGICGeospatial Knowledge Infrastructure - Sanjay Kumar, WGIC
Geospatial Knowledge Infrastructure - Sanjay Kumar, WGIC
 
Data is new oil eng
Data is new oil engData is new oil eng
Data is new oil eng
 
Big Data For Development A Primer
Big Data For Development A PrimerBig Data For Development A Primer
Big Data For Development A Primer
 
Rasetti fondazioneisi 29_06_2015
Rasetti fondazioneisi 29_06_2015Rasetti fondazioneisi 29_06_2015
Rasetti fondazioneisi 29_06_2015
 
Work/Technology 2050: Scenarios and Actions launch at The Embassy of Finland
Work/Technology 2050: Scenarios and Actions launch at The Embassy of FinlandWork/Technology 2050: Scenarios and Actions launch at The Embassy of Finland
Work/Technology 2050: Scenarios and Actions launch at The Embassy of Finland
 
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
 
Open Data & ODI Overview 2014-11 (long version)
Open Data & ODI Overview 2014-11 (long version)Open Data & ODI Overview 2014-11 (long version)
Open Data & ODI Overview 2014-11 (long version)
 
Open Data Institute presentation of european context
Open Data Institute presentation of european contextOpen Data Institute presentation of european context
Open Data Institute presentation of european context
 
future2020
future2020future2020
future2020
 
Bigdata AI
Bigdata AI Bigdata AI
Bigdata AI
 
Future value of data Final report - Draft summary lr 15 dec 2018
Future value of data  Final report - Draft summary lr 15 dec 2018Future value of data  Final report - Draft summary lr 15 dec 2018
Future value of data Final report - Draft summary lr 15 dec 2018
 
Big Data-Job 2
Big Data-Job 2Big Data-Job 2
Big Data-Job 2
 
Big Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMUBig Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMU
 
Big Data RF
Big Data RFBig Data RF
Big Data RF
 
Stanlib Global Property by Keillen Ndlovu
Stanlib Global Property by Keillen Ndlovu Stanlib Global Property by Keillen Ndlovu
Stanlib Global Property by Keillen Ndlovu
 

More from Big Data Spain

Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017
Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017
Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017Big Data Spain
 
Scaling a backend for a big data and blockchain environment by Rafael Ríos at...
Scaling a backend for a big data and blockchain environment by Rafael Ríos at...Scaling a backend for a big data and blockchain environment by Rafael Ríos at...
Scaling a backend for a big data and blockchain environment by Rafael Ríos at...Big Data Spain
 
AI: The next frontier by Amparo Alonso at Big Data Spain 2017
AI: The next frontier by Amparo Alonso at Big Data Spain 2017AI: The next frontier by Amparo Alonso at Big Data Spain 2017
AI: The next frontier by Amparo Alonso at Big Data Spain 2017Big Data Spain
 
Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017
Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017
Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017Big Data Spain
 
Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...
Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...
Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...Big Data Spain
 
Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...
Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...
Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...Big Data Spain
 
Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...
Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...
Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...Big Data Spain
 
Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...
Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...
Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...Big Data Spain
 
State of the art time-series analysis with deep learning by Javier Ordóñez at...
State of the art time-series analysis with deep learning by Javier Ordóñez at...State of the art time-series analysis with deep learning by Javier Ordóñez at...
State of the art time-series analysis with deep learning by Javier Ordóñez at...Big Data Spain
 
Trading at market speed with the latest Kafka features by Iñigo González at B...
Trading at market speed with the latest Kafka features by Iñigo González at B...Trading at market speed with the latest Kafka features by Iñigo González at B...
Trading at market speed with the latest Kafka features by Iñigo González at B...Big Data Spain
 
Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...
Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...
Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...Big Data Spain
 
The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a...
 The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a... The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a...
The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a...Big Data Spain
 
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...Big Data Spain
 
Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017
Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017
Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017Big Data Spain
 
Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...
Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...
Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...Big Data Spain
 
Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...
Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...
Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...Big Data Spain
 
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...Big Data Spain
 
Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...
Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...
Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...Big Data Spain
 
More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...
More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...
More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...Big Data Spain
 
Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017
Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017
Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017Big Data Spain
 

More from Big Data Spain (20)

Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017
Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017
Big Data, Big Quality? by Irene Gonzálvez at Big Data Spain 2017
 
Scaling a backend for a big data and blockchain environment by Rafael Ríos at...
Scaling a backend for a big data and blockchain environment by Rafael Ríos at...Scaling a backend for a big data and blockchain environment by Rafael Ríos at...
Scaling a backend for a big data and blockchain environment by Rafael Ríos at...
 
AI: The next frontier by Amparo Alonso at Big Data Spain 2017
AI: The next frontier by Amparo Alonso at Big Data Spain 2017AI: The next frontier by Amparo Alonso at Big Data Spain 2017
AI: The next frontier by Amparo Alonso at Big Data Spain 2017
 
Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017
Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017
Disaster Recovery for Big Data by Carlos Izquierdo at Big Data Spain 2017
 
Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...
Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...
Presentation: Boost Hadoop and Spark with in-memory technologies by Akmal Cha...
 
Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...
Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...
Data science for lazy people, Automated Machine Learning by Diego Hueltes at ...
 
Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...
Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...
Training Deep Learning Models on Multiple GPUs in the Cloud by Enrique Otero ...
 
Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...
Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...
Unbalanced data: Same algorithms different techniques by Eric Martín at Big D...
 
State of the art time-series analysis with deep learning by Javier Ordóñez at...
State of the art time-series analysis with deep learning by Javier Ordóñez at...State of the art time-series analysis with deep learning by Javier Ordóñez at...
State of the art time-series analysis with deep learning by Javier Ordóñez at...
 
Trading at market speed with the latest Kafka features by Iñigo González at B...
Trading at market speed with the latest Kafka features by Iñigo González at B...Trading at market speed with the latest Kafka features by Iñigo González at B...
Trading at market speed with the latest Kafka features by Iñigo González at B...
 
Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...
Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...
Unified Stream Processing at Scale with Apache Samza by Jake Maes at Big Data...
 
The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a...
 The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a... The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a...
The Analytic Platform behind IBM’s Watson Data Platform by Luciano Resende a...
 
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...
Artificial Intelligence and Data-centric businesses by Óscar Méndez at Big Da...
 
Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017
Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017
Why big data didn’t end causal inference by Totte Harinen at Big Data Spain 2017
 
Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...
Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...
Meme Index. Analyzing fads and sensations on the Internet by Miguel Romero at...
 
Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...
Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...
Vehicle Big Data that Drives Smart City Advancement by Mike Branch at Big Dat...
 
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
End of the Myth: Ultra-Scalable Transactional Management by Ricardo Jiménez-P...
 
Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...
Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...
Attacking Machine Learning used in AntiVirus with Reinforcement by Rubén Mart...
 
More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...
More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...
More people, less banking: Blockchain by Salvador Casquero at Big Data Spain ...
 
Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017
Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017
Make the elephant fly, once again by Sourygna Luangsay at Big Data Spain 2017
 

Recently uploaded

GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusZilliz
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbuapidays
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 

Recently uploaded (20)

GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 

Monitoring world geopolitics through Big Data by Tomasa Rodrigo and Álvaro Ortíz at Big Data Spain 2017

  • 1.
  • 2. November 2017 Monitoring world geopolitics through Big Data Alvaro Ortiz and Tomasa Rodrigo Big Data Spain 2017
  • 3. Click here to modify the style of the master title Monitoring world geopolitics through Big Data Summary Introduction: why and how we use Big Data01 Geopolitical and social analysis02 The geography and digital transformation03
  • 4. Monitoring world geopolitics through Big Data 01Introduction: why and how we use Big Data
  • 5. Monitoring world geopolitics through Big Data Traditional data could not answer some relevant questions 4 Geopolitical events Political events and social reaction Natural disasters and epidemics … avoiding us to measure their economic impact… … in a world with increasing risks and uncertainty The use of Big Data and Data science techniques allows us to quantify these trends
  • 6. Monitoring world geopolitics through Big Data New framework in the digital era… 5 Novel data-driven computational approaches are needed to enable the new digital era to exploit the new opportunities where data can be used to study the world in real time from micro to macro level New answers to old questions Better and faster infrastructure New availability of data Higher computational abilities to face more data granularity Combination of historical data with real time data Advanced data science techniques and algorithms
  • 7. Monitoring world geopolitics through Big Data Deepening the statistical and econometric skills to analyze and deal with high- dimensional data Interpreting the results: summarize, describe and analyze the information Developing the data management and programming capabilities to work with large- scale datasets Making the right questions …which needs the development of new competences to take advantage of it New data may end up changing the way in which economists approach empirical questions and the tools they use to answer them 6
  • 8. Monitoring world geopolitics through Big Data Our working process 7 GDELT (Global Database on Events, Location and Tone) Clean, Aggregate & transform the data Fuse, visualize & analyze the data BigQuery Data Storage (SQL) Databases SaaS Analysis Visualization
  • 9. Monitoring world geopolitics through Big Data What is GDELT? 8 … georeferenced across the entire planet… … including over 300 events around the world and more than 30000 themes… …and collecting emotions using some of the most sophisticated algorithms Open database of human society from every corner of the globe dating back to 1979 … Global Database on Events Location and Tone
  • 10. Monitoring world geopolitics through Big Data GDELT database and sentiment analysis 99 The GDELT translingual platform represents the largest real time streaming news machine translation of the world: 99% of its daily non- English volume is translated in real time into English A real time computable record of global society that can be visualized, analyzed, modeled and forecasted It moves towards a global perspective on what’s happening and how the world is feeling about it 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐭𝐨𝐧𝐞 = 𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒 𝑤𝑜𝑟𝑑𝑠 − 𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒 𝑤𝑜𝑟𝑑𝑠 𝑇𝑜𝑡𝑎𝑙 𝑤𝑜𝑟𝑑𝑠 + Global Content Analysis Measures (GCAM) 𝟒𝟎 different 𝐬𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐢𝐞𝐬 to capture more than 𝟐𝟑𝟎𝟎 𝐞𝐦𝐨𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐬 with a value score (WordNet Affect 1.0, WordNet Affect 1.1, WordNet Domains 3.2, WordNet 3.1 Lexical Categories, Subjectivity Lexicon, SentiWords, SentiWordNet 3.0, Lexicoder Sentiment Dictionary, Linguistic Inquiry and Word Count,…)
  • 11. Monitoring world geopolitics through Big Data Our products 10 Geographical Analysis Housing Prices (sentiment on Housing Prices) Measuring Sentiments (sentiment Analysis on Economy and Society) Financial Stability & Macroprudential (ECB & FED FS index by FED Board) Monetary & Stability tones by Central Banks Political, Geopolitical Social Indexes (Political Indexs) Color Maps NAFTA Topics (Nafta Project) Politics & Financial Networks (Political Netwoks) Mix Hard data & Sentiment & VAR models (CBSI and Turkey Sentiment Indexes)
  • 12. Monitoring world geopolitics through Big Data 02Geopolitical and social analysis
  • 13. Monitoring world geopolitics through Big Data Tracking Geopolitics on real time is useful to identify the main hot spots and potential spillovers 12Source: www.gdelt.org & BBVA Research Conflict Intensity Map Oct 2017 (Number of conflicts/ Total events)
  • 14. Monitoring world geopolitics through Big Data From an historical perspective… 13Source: www.gdelt.org & BBVA Research BBVA Research World Conflict Intensity Index 1979-2017 World Protest Intensity Map 1979- 2017 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 USA UK Norway Sweden Austria Germany France Netherlands Italy Spain Belgium Ireland Portugal Greece Poland Czech Republic Hungary Bulgaria Romania Croatia Turkey Russia Ukraine Georgia Kazakhstan Moldova Azerbaijan Armenia Morocco Algeria Tunisia Libya Egypt Israel Jordan Syria Iraq Iran UAE Bahrain Qatar Oman Saudi Arabia Mexico Brazil Chile Colombia Peru EMEurope&CISDevelopedMarketsN.Africa&MiddleEastLATAM
  • 15. Monitoring world geopolitics through Big Data …to the current “hot” spots… 14Source: www.gdelt.org & BBVA Research BBVA Research Refugees Flows Map in 2015-17 Number of media citations about refugees’ inflows and outflows BBVA Research Asia Conflict Intensity Index 2008-17
  • 16. Monitoring world geopolitics through Big Data Social unrest events across the world: Cairo, Istanbul and Hong Kong cases Protest events Source: www.gdelt.org & BBVA Research … in “high definition” 15
  • 17. Monitoring world geopolitics through Big Data Democracy Education Election Leader Media msm Self identified human rights Broadcast and media Public sector management Governance Political party republican Anti corruption Peace operations and conflict management Arrest Criminal justice Social development Human rights Dictatorship Communist Soldiers Fragility conflict and violence Conflict and violence Political violence and war Nuclear and chemical war Military Manmade disaster implied Political violence and civil war Weapons of mass destruction Nuclear energy Weapons bomb Weapons cruise missile Weapons surface to air missile Weapons warhead Terror Armedconflict Bombthreat Kill 2015 2016 2017 We can check hot spots like North Korea tensions in detail… Topics colormap related with North Korea 2015- 17Topics network related with North Korea 2017 16
  • 18. Monitoring world geopolitics through Big Data … the China’s links with the rest of the world… Source: www.gdelt.org & BBVA Research Chinese slowdown: media perception and country network Oman Qatar Iran Kazakhstan Russia U.A.E. Iraq Nicaragua Saudi ArabiaMexico Chile Dominican R.Brazil Bolivia Ecuador Venezuela Peru Panama Argentina Spain Austria Ukraine Israel Greece Poland Belgium Czech Republic Italy Netherlands Finland Ireland Iceland Portugal Hungary Yemen Sri Lanka Macau Indonesia Philippines Taiwan Cambodia Pakistan Turkey Brunei N. Zealand Burkina Faso Singapore Thailand Malaysia Zimbabwe Uganda Nigeria Zambia Congo Mozambique Kenya Sweden Angola E. Guinea EthiopiaSouth Africa France US UK Japan Australia Canada S. Korea India Switzerland Germany Hong Kong China 17
  • 19. Monitoring world geopolitics through Big Data … the world trade evolution from an historical perspective… BBVA Research World Trade Support Index (Tone & Coverage verbal cooperation at WTO) -2 0 2 4 6 8 10 12 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2008 2009 2010 2011 2012 2013 2014 2015 2016 Verbal Cooperation (3 months mov.avg) Material Cooperation (3 months mov.avg) BBVA Research Trade Support Index Changes 2008-17 Source: www.gdelt.org & BBVA Research 18
  • 20. Monitoring world geopolitics through Big Data Spanish perception around the world according to the media Negative tone Positive tone Neutral tone Source: www.gdelt.org & BBVA Research … and even the Spanish economic perception around the world 19
  • 21. Monitoring world geopolitics through Big Data 03The geography and digital transformation
  • 22. Monitoring world geopolitics through Big Data Media digital sentiment over the world in 2017 varies between regions… 21
  • 23. Monitoring world geopolitics through Big Data …and over time. Our index allows us to understand the driving forces behind this evolution… 22Source: www.gdelt.org & BBVA Research Media sentiment digital index and components -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 Mar-15 Apr-15 Apr-15 May-15 Jun-15 Jun-15 Jul-15 Aug-15 Aug-15 Sep-15 Oct-15 Nov-15 Nov-15 Dec-15 Jan-16 Jan-16 Feb-16 Mar-16 Above average ON average Below average -2.4 -1.4 -0.4 0.6 1.6 2.6 apr-15 may-15 jun-15 jul-15 aug-15 sep-15 oct-15 nov-15 dec-15 jan-16 feb-16 mar-16 Digital Economy -2.4 -1.4 -0.4 0.6 1.6 2.6 apr-15 may-15 jun-15 jul-15 aug-15 sep-15 oct-15 nov-15 dec-15 jan-16 feb-16 mar-16 Fintech -2.4 -1.4 -0.4 0.6 1.6 2.6 apr-15 may-15 jun-15 jul-15 aug-15 sep-15 oct-15 nov-15 dec-15 jan-16 feb-16 mar-16 Digital Regulation Emerging AsiaUSEurope Confidence Interval for Emerging Asia
  • 24. Monitoring world geopolitics through Big Data …focusing on particular cases such as the Big Data perception evolution among the main world players 0 0.5 1 1.5 2 2.5 3 US Malaysia UK Indonesia Italy India US World Europe EmergingAsia Philippines Germany Spain France Vietnam China Bangladesh Pakistan 2017 2015 2016 Big Data media sentiment in the world and by countries overt time 23 0.05 0.07 0.09 0.11 0.13 0.15 0.17 Feb-15 Apr-15 Jun-15 Aug-15 Oct-15 Dec-15 Feb-16 Apr-16 Jun-16 Aug-16 Oct-16 Dec-16 Feb-17 Apr-17 Jun-17 Aug-17 Oct-17 World media coverage on Big Data
  • 25. Monitoring world geopolitics through Big Data Turkey United Kingdom France India Germany Italy Spain Iran Taiwan Korea Indonesia Vietnam Albania Colombia Hong Kong Thailand Philippines Kosovo Armenia Switzerland Peru Portugal Hungary Qatar Belarus NetherlandsBangladesh Bolivia Kuwait Uruguay Tunisia Ecuador Moldova Bahrain Slovenia Sri Lanka Cuba Croatia Estonia Guatemala Latvia -3 -2 -1 0 1 2 3 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3 Digital evolution and its impact on employment and productivity 24 + - Jobs develompment Productivityandinnovation Importance of digital variables to explain job development and productivity
  • 26. Monitoring world geopolitics through Big Data You can find us at: Source: www.gdelt.org & BBVA Research Media sentiment digital index and components BBVA Research webpage LinkedIn Twitter 25
  • 27. November 2017 Monitoring world geopolitics through Big Data Alvaro Ortiz and Tomasa Rodrigo Big Data Spain 2017