Delivered at the UN Global Conference on Big Data for Official Statistics in Abu Dhabi on 20 October, 2015

1. © 2015 IBM Corporation
Considering
New Data Sources
DR. ROBERT S. SUTOR
VICE PRESIDENT
MOBILE, SOLUTIONS, AND MATHEMATICAL SCIENCES
IBM RESEARCH

2. © 2015 IBM CorporationIBM Research: Mobile, Solutions, and Mathematical Sciences2
Data
Acquisition
Data
Curation
Insights &
Learning
Data
Science
Cognitive
Science
Analysis

3. © 2015 IBM CorporationIBM Research: Mobile, Solutions, and Mathematical Sciences3
Data
Acquisition
Data
Curation
Insights &
Learning
Data
Science
Cognitive
Science
Analysis

4. © 2015 IBM CorporationIBM Research: Mobile, Solutions, and Mathematical Sciences4
Data
Acquisition
Data
Curation
Insights &
Learning
Data
Science
Cognitive
Science
Analysis
New Sources
IoT
Mobile
Drones
…

5. © 2015 IBM Corporation
IoT = Internet of Things
• The “things” are sensors and actuators.
• Traditionally, people thought IoT applied to
factories and machines.
• Increasingly, human wearable devices are
included in IoT.
• You should think of IoT and mobile being used
together.
• The value is not in collecting the data, it’s in
what you do with it.
IBM Research: Mobile, Solutions, and Mathematical Sciences5
Examples and Applications of IoT
• Smart watches and other worn
devices for fitness and safety
• Healthcare
• Self-driving vehicles
• Predictive asset maintenance
• Anomaly detection
• Operations optimization
• Drones

6. © 2015 IBM Corporation
Mobile
• While interesting new apps are developed all the
time, the value and attractiveness of mobile for
consumers is understood.
• Mobile phones are being used as gateways to the
cloud for the data and analysis of the data from
wearable and local devices.
• Mobile Enterprise Computing is a rapidly growing
area: using mobile to help people do their jobs
better and more safely.
• Many phones are today are powerful enough to do
computations formerly reserved for servers.
IBM Research: Mobile, Solutions, and Mathematical Sciences6
Apple iPhone 6 vs
ApolloGuidance Computer
• Number of transistors
iPhone has 130,000 times more than
Apollo
• Clock Frequency
iPhone is 32,600 times faster than
Apollo
• Instructions per Second
iPhone is 80,800,000 times faster than
Apollo
• Overall Performance
iPhone is 120,000,000 times faster
than Apollo
Source : Quora

7. © 2015 IBM Corporation
Drones
• There are many policy and legal issues
surrounding the use of drones.
• Depending on the sensors on a drone, it can
generate a broad range of spatiotemporal data.
• Weight and power consumption are significant
problems for today’s drones.
• We’re at the early stages of understanding how
best to program drones and optimize how they
are used.
• Agriculture is one of the most promising areas of
applications for drones.
IBM Research: Mobile, Solutions, and Mathematical Sciences7
Types of Data Generated by Drones
• General
images, video,
• Agriculture
temperature, humidity, crop health
• Hazards
storm damage, railway damage
• Insurance
• Defense and Public Safety

8. © 2015 IBM Corporation
Privacy, Ownership, and Use
• If data is generated on my property or from my body, who gets to see it?
• Who owns the data generated on my property or from my body?
• Can others freely use such data or can I restrict its use?
• Can or should I get paid for such use?
• If I’m not paid in money, can I get paid in insights?
IBM Research: Mobile, Solutions, and Mathematical Sciences8