SlideShare a Scribd company logo
How Big Data Will Save Planet Earth - StampedeCon 2015
How Big Data Will Save Planet Earth - StampedeCon 2015
How Big Data Will Save Planet Earth - StampedeCon 2015
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
How Big Data Will Save Planet Earth - StampedeCon 2015
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
How Big Data Will Save Planet Earth - StampedeCon 2015
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
How Big Data Will Save Planet Earth - StampedeCon 2015
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
How Big Data Will Save Planet Earth - StampedeCon 2015
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
#StampedeCon #SaveEarth
How Big Data Will Save Planet Earth - StampedeCon 2015
How Big Data Will Save Planet Earth - StampedeCon 2015
#StampedeCon #SaveEarth
THANK YOU

More Related Content

PPTX
How small businesses can compete with Bigger Brands
Damon Gochneaur
 
PPTX
Away ishome2
Kari Haugeto
 
PPT
Christmas Gifts For Men
texr
 
PDF
SFE Infographic
Albert Costilo
 
PPTX
SolidCast Polymer Technologies
SolidCastPolymer
 
PPTX
3 w5d5
Oscar Godina
 
PPT
Saudi Kayan PP/PH Team Building
anees
 
PDF
Mane wk 3 term 2
takp
 
How small businesses can compete with Bigger Brands
Damon Gochneaur
 
Away ishome2
Kari Haugeto
 
Christmas Gifts For Men
texr
 
SFE Infographic
Albert Costilo
 
SolidCast Polymer Technologies
SolidCastPolymer
 
3 w5d5
Oscar Godina
 
Saudi Kayan PP/PH Team Building
anees
 
Mane wk 3 term 2
takp
 

What's hot (15)

PPT
TEDxYouth@Amsterdam 2012 Sponsorloop
tedxyouthams
 
PDF
Leadership Development Proposal
SlideKraft Studio LLP
 
PDF
Counting coloring-pages1
Anderson Gonzalez
 
PDF
How a hacked site can kill your traffic
Promodo
 
PDF
Animated Global Dynamic PowerPoint Template
SlideModel
 
PPTX
Acid reflux presentation
Creating Comforts
 
PPT
Zest New Year Bash2010
Manjeet Singh
 
PDF
Vogal e 2 b2020 9
SimoneHelenDrumond
 
PDF
Summary of diodes(pn junction) for gate
Gajini Satish
 
PDF
Quy trinh kiem dinh bon chua khi dau mo hoa long lpg
kiemdinh sitc
 
PPTX
All Houseboats Kerala
All Houseboats
 
PPTX
What to Do in Nepal?
Ramesh Khanal
 
PDF
Dad and Me coloring pages
Freekidstories
 
PDF
Counting ants
Luz Milagro
 
TEDxYouth@Amsterdam 2012 Sponsorloop
tedxyouthams
 
Leadership Development Proposal
SlideKraft Studio LLP
 
Counting coloring-pages1
Anderson Gonzalez
 
How a hacked site can kill your traffic
Promodo
 
Animated Global Dynamic PowerPoint Template
SlideModel
 
Acid reflux presentation
Creating Comforts
 
Zest New Year Bash2010
Manjeet Singh
 
Vogal e 2 b2020 9
SimoneHelenDrumond
 
Summary of diodes(pn junction) for gate
Gajini Satish
 
Quy trinh kiem dinh bon chua khi dau mo hoa long lpg
kiemdinh sitc
 
All Houseboats Kerala
All Houseboats
 
What to Do in Nepal?
Ramesh Khanal
 
Dad and Me coloring pages
Freekidstories
 
Counting ants
Luz Milagro
 
Ad

Viewers also liked (16)

PPTX
Estrategias pedagógicas para la enseñanza de una cultura
oscar daniel naranjo aristizabal
 
PPTX
CORRUPTION IN INDIA
Santhosh Kumar
 
PDF
Cloud-Friendly Hadoop and Hive - StampedeCon 2013
StampedeCon
 
DOCX
PatrickJacks_Resume2
Patrick Jacks
 
PPTX
Apache Spark: the next big thing? - StampedeCon 2014
StampedeCon
 
PDF
Economics and finance of Europe: An intensive ten-week programme
LSE Enterprise
 
PDF
Curriculum Vitae_Samdoo JUNG
Samdoo Jung
 
DOCX
Carol Varney's 1 Resume 2015
Carol Varney
 
PDF
LSE Enterprise Annual Report 2015
LSE Enterprise
 
PDF
Cattalugue2016
WsolutionSteel
 
PDF
Lifting the hood on spark streaming - StampedeCon 2015
StampedeCon
 
PDF
Listening for Insights: The Power of Social Media Listening - StampedeCon 2012
StampedeCon
 
PPT
4 types of train accidents for which victims can claim compensation
frekhtmanassociates
 
PDF
From Smart Buildings to Smart Cities: An Industry in the Midst of Big Data - ...
StampedeCon
 
PDF
2 kien pham cv en vn with project experience
Kien Pham
 
PPTX
Estrous synchronization
Armia Naguib
 
Estrategias pedagógicas para la enseñanza de una cultura
oscar daniel naranjo aristizabal
 
CORRUPTION IN INDIA
Santhosh Kumar
 
Cloud-Friendly Hadoop and Hive - StampedeCon 2013
StampedeCon
 
PatrickJacks_Resume2
Patrick Jacks
 
Apache Spark: the next big thing? - StampedeCon 2014
StampedeCon
 
Economics and finance of Europe: An intensive ten-week programme
LSE Enterprise
 
Curriculum Vitae_Samdoo JUNG
Samdoo Jung
 
Carol Varney's 1 Resume 2015
Carol Varney
 
LSE Enterprise Annual Report 2015
LSE Enterprise
 
Cattalugue2016
WsolutionSteel
 
Lifting the hood on spark streaming - StampedeCon 2015
StampedeCon
 
Listening for Insights: The Power of Social Media Listening - StampedeCon 2012
StampedeCon
 
4 types of train accidents for which victims can claim compensation
frekhtmanassociates
 
From Smart Buildings to Smart Cities: An Industry in the Midst of Big Data - ...
StampedeCon
 
2 kien pham cv en vn with project experience
Kien Pham
 
Estrous synchronization
Armia Naguib
 
Ad

Similar to How Big Data Will Save Planet Earth - StampedeCon 2015 (9)

DOCX
Gg
subha1961
 
DOCX
Gg
subha1961
 
TXT
Driver whiz serial_key_download
DANIELFIVE
 
TXT
Driver whiz serial_key_download
DANIELFIVE
 
PDF
নবাবগঞ্জ থানা রোড ম্যাপ Nawabganj road
Ruposhibangla24,Nawabganj,Dinajpur-5280
 
PDF
নবাবগঞ্জ থানা রোড ম্যাপ Nawabganj road
Ruposhibangla24,Nawabganj,Dinajpur-5280
 
PDF
নবাবগঞ্জ থানা রোড ম্যাপ
Ruposhibangla24,Nawabganj,Dinajpur-5280
 
PDF
GIAB Sep2016 Lightning Effective Depth Metric yves konigshofer_sera_care
GenomeInABottle
 
PDF
Thibaut Sailly - Behind the scene at captain train - UX Lausanne 2016
UX Lausanne
 
Driver whiz serial_key_download
DANIELFIVE
 
Driver whiz serial_key_download
DANIELFIVE
 
নবাবগঞ্জ থানা রোড ম্যাপ Nawabganj road
Ruposhibangla24,Nawabganj,Dinajpur-5280
 
নবাবগঞ্জ থানা রোড ম্যাপ Nawabganj road
Ruposhibangla24,Nawabganj,Dinajpur-5280
 
নবাবগঞ্জ থানা রোড ম্যাপ
Ruposhibangla24,Nawabganj,Dinajpur-5280
 
GIAB Sep2016 Lightning Effective Depth Metric yves konigshofer_sera_care
GenomeInABottle
 
Thibaut Sailly - Behind the scene at captain train - UX Lausanne 2016
UX Lausanne
 

More from StampedeCon (20)

PDF
Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
StampedeCon
 
PDF
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
StampedeCon
 
PDF
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
StampedeCon
 
PDF
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
StampedeCon
 
PDF
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
StampedeCon
 
PDF
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
StampedeCon
 
PDF
Foundations of Machine Learning - StampedeCon AI Summit 2017
StampedeCon
 
PDF
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
StampedeCon
 
PDF
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
StampedeCon
 
PDF
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
StampedeCon
 
PDF
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017
StampedeCon
 
PDF
A Different Data Science Approach - StampedeCon AI Summit 2017
StampedeCon
 
PDF
Graph in Customer 360 - StampedeCon Big Data Conference 2017
StampedeCon
 
PDF
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
StampedeCon
 
PDF
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
StampedeCon
 
PDF
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
StampedeCon
 
PDF
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
StampedeCon
 
PDF
Innovation in the Data Warehouse - StampedeCon 2016
StampedeCon
 
PPTX
Creating a Data Driven Organization - StampedeCon 2016
StampedeCon
 
PPTX
Using The Internet of Things for Population Health Management - StampedeCon 2016
StampedeCon
 
Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
StampedeCon
 
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
StampedeCon
 
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
StampedeCon
 
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
StampedeCon
 
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
StampedeCon
 
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
StampedeCon
 
Foundations of Machine Learning - StampedeCon AI Summit 2017
StampedeCon
 
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
StampedeCon
 
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
StampedeCon
 
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
StampedeCon
 
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017
StampedeCon
 
A Different Data Science Approach - StampedeCon AI Summit 2017
StampedeCon
 
Graph in Customer 360 - StampedeCon Big Data Conference 2017
StampedeCon
 
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
StampedeCon
 
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
StampedeCon
 
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
StampedeCon
 
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
StampedeCon
 
Innovation in the Data Warehouse - StampedeCon 2016
StampedeCon
 
Creating a Data Driven Organization - StampedeCon 2016
StampedeCon
 
Using The Internet of Things for Population Health Management - StampedeCon 2016
StampedeCon
 

Recently uploaded (20)

PDF
Structs to JSON: How Go Powers REST APIs
Emily Achieng
 
PDF
Presentation about Hardware and Software in Computer
snehamodhawadiya
 
PPTX
cloud computing vai.pptx for the project
vaibhavdobariyal79
 
PDF
Data_Analytics_vs_Data_Science_vs_BI_by_CA_Suvidha_Chaplot.pdf
CA Suvidha Chaplot
 
PDF
Unlocking the Future- AI Agents Meet Oracle Database 23ai - AIOUG Yatra 2025.pdf
Sandesh Rao
 
PDF
Google I/O Extended 2025 Baku - all ppts
HusseinMalikMammadli
 
PDF
NewMind AI Weekly Chronicles - July'25 - Week IV
NewMind AI
 
PDF
Oracle AI Vector Search- Getting Started and what's new in 2025- AIOUG Yatra ...
Sandesh Rao
 
PPTX
The Future of AI & Machine Learning.pptx
pritsen4700
 
PDF
AI Unleashed - Shaping the Future -Starting Today - AIOUG Yatra 2025 - For Co...
Sandesh Rao
 
PDF
Trying to figure out MCP by actually building an app from scratch with open s...
Julien SIMON
 
PDF
Responsible AI and AI Ethics - By Sylvester Ebhonu
Sylvester Ebhonu
 
PPTX
New ThousandEyes Product Innovations: Cisco Live June 2025
ThousandEyes
 
PDF
OFFOFFBOX™ – A New Era for African Film | Startup Presentation
ambaicciwalkerbrian
 
PPTX
The-Ethical-Hackers-Imperative-Safeguarding-the-Digital-Frontier.pptx
sujalchauhan1305
 
PDF
CIFDAQ's Market Wrap : Bears Back in Control?
CIFDAQ
 
PDF
SparkLabs Primer on Artificial Intelligence 2025
SparkLabs Group
 
PDF
Brief History of Internet - Early Days of Internet
sutharharshit158
 
PPTX
Dev Dives: Automate, test, and deploy in one place—with Unified Developer Exp...
AndreeaTom
 
PPTX
AI in Daily Life: How Artificial Intelligence Helps Us Every Day
vanshrpatil7
 
Structs to JSON: How Go Powers REST APIs
Emily Achieng
 
Presentation about Hardware and Software in Computer
snehamodhawadiya
 
cloud computing vai.pptx for the project
vaibhavdobariyal79
 
Data_Analytics_vs_Data_Science_vs_BI_by_CA_Suvidha_Chaplot.pdf
CA Suvidha Chaplot
 
Unlocking the Future- AI Agents Meet Oracle Database 23ai - AIOUG Yatra 2025.pdf
Sandesh Rao
 
Google I/O Extended 2025 Baku - all ppts
HusseinMalikMammadli
 
NewMind AI Weekly Chronicles - July'25 - Week IV
NewMind AI
 
Oracle AI Vector Search- Getting Started and what's new in 2025- AIOUG Yatra ...
Sandesh Rao
 
The Future of AI & Machine Learning.pptx
pritsen4700
 
AI Unleashed - Shaping the Future -Starting Today - AIOUG Yatra 2025 - For Co...
Sandesh Rao
 
Trying to figure out MCP by actually building an app from scratch with open s...
Julien SIMON
 
Responsible AI and AI Ethics - By Sylvester Ebhonu
Sylvester Ebhonu
 
New ThousandEyes Product Innovations: Cisco Live June 2025
ThousandEyes
 
OFFOFFBOX™ – A New Era for African Film | Startup Presentation
ambaicciwalkerbrian
 
The-Ethical-Hackers-Imperative-Safeguarding-the-Digital-Frontier.pptx
sujalchauhan1305
 
CIFDAQ's Market Wrap : Bears Back in Control?
CIFDAQ
 
SparkLabs Primer on Artificial Intelligence 2025
SparkLabs Group
 
Brief History of Internet - Early Days of Internet
sutharharshit158
 
Dev Dives: Automate, test, and deploy in one place—with Unified Developer Exp...
AndreeaTom
 
AI in Daily Life: How Artificial Intelligence Helps Us Every Day
vanshrpatil7
 

Editor's Notes

  • #4: CHRIS
  • #5: CHRIS
  • #6: CHRIS
  • #7: MIKE
  • #8: CHRIS
  • #9: CHRIS
  • #10: MIKE
  • #11: MIKE
  • #12: MIKE
  • #13: MIKE
  • #22: CHRIS
  • #23: CHRIS
  • #24: CHRIS
  • #25: CHRIS
  • #26: CHRIS Researchers spotted new ways to treat cancer when the National Institutes of Health enabled semantic searches of its huge Medline database of published medical articles.
  • #27: Mobile carriers are providing researchers with access to anonymized data gleaned from cellphones in Senegal to provide a window into regional population movements and predict the spread of Ebola.
  • #29: CHRIS
  • #33: CHRIS
  • #34: CHRIS
  • #35: CHRIS
  • #36: CHRIS
  • #37: CHRIS
  • #40: MIKE Government data on veteran unemployment claims, skills data scraped from Monster resumés and LinkedIn profiles, and job requirements from employers. The result is a unique dataset for mapping the many mismatches between veterans and the job market.
  • #41: MIKE
  • #42: CHRIS
  • #43: CHRIS
  • #44: CHRIS
  • #45: CHRIS
  • #46: CHRIS
  • #47: CHRIS
  • #51: CHRIS
  • #52: CHRIS
  • #53: MIKE