Iot and prediction 2015

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Talk presented to the public by the HK Computer Society Innovation & Entrepreneur Club; with deep learning mobile app object recognition demo

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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Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

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FWD Group - Insurer Innovation Award 2024

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

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Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

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FWD Group - Insurer Innovation Award 2024

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Elevate Developer Efficiency & build GenAI Application with Amazon Q

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Iot and prediction 2015

1. Prediction and IOTPrediction and IOT Geoff Yuen, Ph.D. VP E i T h l April 2015 VP Emerging Technology geoffrey.yuen@pccw.com

2. 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

3. 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.

4. 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

5. 3. Cameras becoming a member of IOT Cameras become sensors for IOT due to deep learning

6. 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

7. 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