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© 2015 IBM Corporation
Considering
New Data Sources
DR. ROBERT S. SUTOR
VICE PRESIDENT
MOBILE, SOLUTIONS, AND MATHEMATICAL SCIENCES
IBM RESEARCH
© 2015 IBM CorporationIBM Research: Mobile, Solutions, and Mathematical Sciences2
Data
Acquisition
Data
Curation
Insights &
Learning
Data
Science
Cognitive
Science
Analysis
© 2015 IBM CorporationIBM Research: Mobile, Solutions, and Mathematical Sciences3
Data
Acquisition
Data
Curation
Insights &
Learning
Data
Science
Cognitive
Science
Analysis
© 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
…
© 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
© 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
© 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
© 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

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Considering New Data Sources

  • 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

Editor's Notes

  1. https://www.quora.com/How-much-more-computing-power-does-an-iPhone-6-have-than-Apollo-11-What-is-another-modern-object-I-can-relate-the-same-computing-power-to