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160928 – SUMMIT 2016 DAY 2 – PLENARY SESSION USING BIG DATA IN CERTIFICATION The Power of Big Data Analytics Jaideep Srivastava Research Director QCRI Professor University of Minnesota [email protected] September 28th, 2016 Amsterdam, Netherlands 2 Talk Outline • Big data analytics • Digital response to humanitarian crises: a Big Data Analytics case study • Automatic analysis of food imagery • The power of big data analytics • Big data in food certification
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Page 1: The Power of Big Data Analytics - SUMMIT 2016 · 160928 – SUMMIT 2016 DAY 2 – PLENARY SESSION USING BIG DATA IN CERTIFICATION The Power of Big Data Analytics Jaideep Srivastava

160928 – SUMMIT 2016 DAY 2 – PLENARY SESSION USING BIG DATA IN CERTIFICATION

ThePowerofBigDataAnalyticsJaideep SrivastavaResearchDirectorQCRI

[email protected]

September28th,2016Amsterdam,Netherlands

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Talk Outline• Big data analytics

• Digital response to humanitarian crises: a Big Data Analytics case study

• Automatic analysis of food imagery

• The power of big data analytics

• Big data in food certification

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Big Data Analytics - Definition

Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information.

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TheKeyTakeaway

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System

Environment

Little interactionwith environment

Lots of interactionwith environment

(Relatively)Static

Dynamic

Well solvedproblem

Well-formulatedproblem; needswider tolerance

(Mostly)don’t care

Most difficult case;becoming increasinglyimportant

• BigDatahelpsincapturingtheenvironment

• Analyticshelpsinmakingsenseofit

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SocietalChallenge:Howtoleveragesocialmediainformationtoimprovehumanitarianassistanceduringcrises?

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Project Collaboration with UN OCHA and the Standby Task Force.

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Timeline2010 QCRI Created2012 Crisis Computing program starts2013 ● AIDR Development starts● MicroMappers Development starts● Uaviators Created● Typhoon Haiyan Response with UN

OCHA2014 ● MicroMappers - Coconuts for

Computer Vision● UNICEF AIDR SMS - Zambia● Typhoon Hagupit Response

2014 ● WoRDE prototype with

Translators without Borders● Cyclone Pam (Vanuatu Response)● Nepal Earthquake Response

2016 ● QSTP accelerator to explore

commercial potential● QSTP PoC program● UNESCO partnership● UNDP partnership talks

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WealthofInformationisAvailableonSocialMedia(Instagram)

Username

LocationPopularityTimestamp

Hashtags

Comments

Description

Social network

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UnderstandingFoodImages&Scenes

FoodScene FoodPlate

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HowisInstagramaFoodStoreFront?

HomemadefooddeliveryservicesarepopularonInstagram inQatar.

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The Power of Big Data Analytics

Hybrid collaborative intelligenceHuman computationMachine learningMulti-relational graphsTemporal evolutionary networksScalable data processing

Crisis computing

BehavioralHealth

Data sharing withcommunity

News

Urbaninformatics

For the funOf it

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BigDataAnalyticsforFoodCertification• https://demo.greenfence.com

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Key Directions in Food Certification Analytics• From post-facto analysis to real-time processing

• From post-mortem analysis to predictive analysis

• Big data è multi-dimensional, comprehensive view

• Account for external factors via social media data, news, etc.

• Automatic identification of unusual events (anomalies), emerging trends, etc.

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TheKeyTakeaway

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System

Environment

Little interactionwith environment

Lots of interactionwith environment

(Relatively)Static

Dynamic

Well solvedproblem

Well-formulatedproblem; needswider tolerance

(Mostly)don’t care

Most difficult case;becoming increasinglyImportante.g. GreenFence’sOpen Economy Platform

• BigDatahelpsincapturingtheenvironment

• Analyticshelpsinmakingsenseofit

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ThankYou!

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