Considering New Data Sources
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The document discusses the significance of new data sources, particularly the Internet of Things (IoT) and mobile technology, emphasizing the value derived from data utilization rather than mere collection. It highlights various applications such as wearable technology, healthcare, self-driving vehicles, and drones, while addressing challenges like policy, privacy, and data ownership. Additionally, advancements in mobile technology are showcased, comparing the capabilities of modern smartphones to historical computing systems.
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
- #7: 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