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Prediction and IOTPrediction and IOT
Geoff Yuen, Ph.D.  
VP E i T h l
April 2015 
VP Emerging Technology
geoffrey.yuen@pccw.com
How Google beat previous search engines ?
Aside from searched content, also use url data patterns (links)*
* Eric Schmidt “How Google Works”; also see http://www.economist.com/node/3171440g ; p
An additional datatype can make a hugh difference !yp g
1. What does your Fitbit predict ?
Progression of disability delayed ~7 years in low risk vs. high risk
Healthcare needs of an aging society
Study of University of Pennsylvania Alumni
Risk based upon BMI, smoking, exercise
Note: A disability index of 0.1 = minimal disability.
Vita et al. NEJM, 1998.
2. Cloud connected elevators 
Instead of just reacting to a failure alarm, technicians can use
real‐time (sensors) data to define a needed repair before a
breakdown happensbreakdown happens
http://blogs.microsoft.com/firehose/2014/07/16/the-internet-of-things-gives-the-worlds-cities-a-major-lift/
The Industrial Internet will be powered byThe Industrial Internet will be powered by 
predictive analytics and IOT
3. Cameras becoming a member of  IOT
Cameras become sensors for IOT  due to deep learning
4. Facebook and IOT
F b k di t lit t b tt thFacebook can predict personality types better than
humans…except spouse
Connected devices will further enhance human 
http://www.pnas.org/content/112/4/1036.full.pdf
profiling to create new services 
Concluding Thoughts
• The next wave of technological progress is driven
by the convergence in big data data science andby the convergence in big data, data science and
IOT
• Current IT architectures will need to evolve data
driven prediction and classification capabilities to
i i h i f IOT b i dmaximize the impact of IOT to business and
society
Questions ? Email geoffrey.yuen@pccw.com

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Iot and prediction 2015