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National Seminar on Emergence of Internet of
Things (IoT): Trends and Challenges”
Saturday, November 19, 2016
Institute of...
Introduction
Ajay Ohri
author of two books on R*
12 years in data science
/analytics
http://linkedin.com/in/ajayohri
*and 4 books on po...
Introduction
● Author "R for Business Analytics"
● Author “ R for Cloud Computing”
● Founder "Decisionstats.com"
● Univers...
Introduction
As Featured in
● IBM Big Data
http://ibmdatamag.com/author/aohri/
● Social Media Today
http://www.socialmedia...
Internet of Things (IoT):
A Data Science Perspective
Saturday, November 19, 2016
Institute of Management Studies, Ghaziaba...
Agenda
Defining Internet of Things
Examples of “Things” that are connected
Challenges for Data Science
Opportunities and C...
Internet of Things
http://link.springer.com/chapter/10.1007/978-1-4419-8237-7_13#page-2
Internet of Things
http://mfaghihi.ir/wp-content/uploads/2015/10/Rolf-H.-Weber-Romana-Weber-auth.-Internet-of-Things_-Lega...
Emergence of Internet of Things (IoT): Trends and Challenges
Internet of Things
IoT refers to the networked interconnectio...
History of IoT
Credit- http://www.postscapes.com/internet-of-things-history/
History of IoT
Credit- http://www.postscapes.com/internet-of-things-history/
History of IoT
Credit- http://www.postscapes.com/internet-of-things-history/
Hype of IoT :2011
Credit- http://www.postscapes.com/internet-of-things-history/
Hype of IoT :2014
Credit- http://www.postscapes.com/internet-of-things-history/
IoT
Internet of Things is inevitable.
Number of connected devices is increasing.
This will need more bandwidth for the cou...
Internet of Things :Concerns- Privacy
Internet of Things (IoT) and cloud computing together give us the ability to sense,
...
IoT :Concerns - Security and Monitorng
http://www.ijana.in/papers/V7I-7.pdf
With the advent of Internet of things (IOT), i...
Internet of Things :Growth
http://www.businessinsider.in/The-Internet-of-Things-Will-Be-The-Worlds-Most-Massive-Device-Mar...
Internet of Everything
Internet of Things :Sectors
Agriculture - soil , machines
Automobiles - warranty , efficiency, maintenance
Aeroplanes - sa...
Insurance Examples
progressive snapshot
https://www.progressive.com/auto/snapshot/
To participate you attach the Snapshot ...
Insurance Examples
John Hancock
his team set out to find a way to leverage the wealth of data collected by wearable techno...
Google Nest
https://nest.com/ Nest Labs is a home automation producer of programmable, self-learning, sensor-driven, Wi-Fi...
IBM - Automotive IoT
http://www.ibm.com/internet-of-things/iot-solutions/iot-automotive/
Wipro IoT
http://www.wipro.com/documents/internet-of-
things.pdf
Smart Lighting controlled by internet
Home Security
Internet of Things :Opportunity
Data can be mined for patterns and predictions.
This will further increase the need for da...
Trends and Challenges for Data Science
Tools, Training, Hardware and Budgets are challenges
Data Science analyzes data, bu...
Trends and Challenges for Data Science
Tools, Training, Hardware and Budgets are challenges
Data Science analyzes data, bu...
Source https://en.wikipedia.org/wiki/Arduino
Raspberry Pi
https://en.wikipedia.org/wiki/Raspberry_Pi#
Use_in_home_automation
The Raspberry Pi is a series of credit
car...
Raspberry Pi
http://www.instructables.com/id/Raspberry-
Pi-Temperature-Humidity-Network-Monitor/
Opportunities and Challenges for India
1. Shortage of Data Scientists skilled in both statistics, programming,machine lear...
Questions
National seminar on emergence of internet of things (io t)  trends and challenges”  saturday, november 19, 2016
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National seminar on emergence of internet of things (io t) trends and challenges” saturday, november 19, 2016

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National seminar on emergence of internet of things (io t) trends and challenges” saturday, november 19, 2016

  1. 1. National Seminar on Emergence of Internet of Things (IoT): Trends and Challenges” Saturday, November 19, 2016 Institute of Management Studies, Ghaziabad Ajay Ohri
  2. 2. Introduction
  3. 3. Ajay Ohri author of two books on R* 12 years in data science /analytics http://linkedin.com/in/ajayohri *and 4 books on poetry
  4. 4. Introduction ● Author "R for Business Analytics" ● Author “ R for Cloud Computing” ● Founder "Decisionstats.com" ● University of Tennessee, Knoxville MS (courses in statistics and computer science) ● MBA (IIM Lucknow,India-2003) ● B.Engineering (DCE 2001) http://linkedin.com/in/ajayohri
  5. 5. Introduction As Featured in ● IBM Big Data http://ibmdatamag.com/author/aohri/ ● Social Media Today http://www.socialmediatoday.com/content/blogger-week-ajay-ohri ● Programmable Web https://www.programmableweb.com/profile/ajayohri ● Wired http://www.wired.com/2014/08/algorithmia/ ● ReadWriteWeb http://readwrite.com/2011/06/01/an-app-store-for-algorithms ● KDNuggets http://www.kdnuggets.com/2014/05/guide-to-data-science-cheat-sheets.html http://www.kdnuggets.com/2014/06/interview-ingo-mierswa-rapidminer-analytics-turning-points.htmlhttp://linkedin.com/in/ajayohri
  6. 6. Internet of Things (IoT): A Data Science Perspective Saturday, November 19, 2016 Institute of Management Studies, Ghaziabad Ajay Ohri
  7. 7. Agenda Defining Internet of Things Examples of “Things” that are connected Challenges for Data Science Opportunities and Challenges for India
  8. 8. Internet of Things http://link.springer.com/chapter/10.1007/978-1-4419-8237-7_13#page-2
  9. 9. Internet of Things http://mfaghihi.ir/wp-content/uploads/2015/10/Rolf-H.-Weber-Romana-Weber-auth.-Internet-of-Things_-Legal-Perspectives-Springer- Verlag-Berlin-Heidelberg-2010.pdf The Internet of Things as an emerging global Internet-based information architec- ture facilitating the exchange of goods and services is gradually developing. While the technology of the Internet of Things is still being discussed and created, the legal framework should be established before the Internet of Things is fully operable, in order to allow for an effective introduction of the new information architecture. If a self-regulatory approach is to be adopted to provide a legal framework for the Internet of Things, and this seems preferable, rulemakers can draw on experiences from the current regime of Internet governance. In the near future, mainly businesses will operate in the Internet of Things. Civil society is only expected to make use of the Internet of Things, as it now does of the Internet, at a later stage (e.g. for healthcare). The Internet of Things will have an impact in various areas. The regulatory frame- work must provide for provisions ensuring the security of the structure as well as the privacy of its users.
  10. 10. Emergence of Internet of Things (IoT): Trends and Challenges Internet of Things IoT refers to the networked interconnection of everyday objects, which are often equipped with ubiquitous intelligence. IoT will increase the ubiquity of the Internet by integrating every object for interaction via embedded systems, which leads to a highly distributed network of devices communicating with human beings as well as other devices. Thanks to rapid advances in underlying technologies, IoT is opening tremendous opportunities for a large number of novel applications that promise to improve the quality of our lives. Internet of Things Feng Xia ,LaurenceT.Yang , Lizhe Wang and Alexey Vinel INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMSInt. J. Commun. Syst.2012;25:1101–1102 Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/dac.2417
  11. 11. History of IoT Credit- http://www.postscapes.com/internet-of-things-history/
  12. 12. History of IoT Credit- http://www.postscapes.com/internet-of-things-history/
  13. 13. History of IoT Credit- http://www.postscapes.com/internet-of-things-history/
  14. 14. Hype of IoT :2011 Credit- http://www.postscapes.com/internet-of-things-history/
  15. 15. Hype of IoT :2014 Credit- http://www.postscapes.com/internet-of-things-history/
  16. 16. IoT Internet of Things is inevitable. Number of connected devices is increasing. This will need more bandwidth for the country. This will also need more computational power to analyze data. Does India need a cloud (or should it depend on azure, amazon, google)
  17. 17. Internet of Things :Concerns- Privacy Internet of Things (IoT) and cloud computing together give us the ability to sense, collect, process, and analyse data so we can use them to better understand behaviours, habits, preferences and life patterns of users and lead them to consume resources more efficiently. In such knowledge discovery activities, privacy becomes a significant challenge due to the extremely personal nature of the knowledge that can be derived from the data and the potential risks involved. Therefore, understanding the privacy expectations and preferences of stakeholders is an important task in the IoT domain https://arxiv.org/abs/1606.08480
  18. 18. IoT :Concerns - Security and Monitorng http://www.ijana.in/papers/V7I-7.pdf With the advent of Internet of things (IOT), it is assumed that many more devices will be connected to the existing network infrastructure. As a result, monitoring is expected to get more complex for administrators as networks tend to become more heterogeneous. Moreover, the addressing for IOTs would be more complex given the scale at which devices will be added to the network and hence monitoring is bound to become an uphill task due to management of larger range of addresse
  19. 19. Internet of Things :Growth http://www.businessinsider.in/The-Internet-of-Things-Will-Be-The-Worlds-Most-Massive-Device-Market-And-Save-Companies-Billions- Of-Dollars/articleshow/44766662.cms
  20. 20. Internet of Everything
  21. 21. Internet of Things :Sectors Agriculture - soil , machines Automobiles - warranty , efficiency, maintenance Aeroplanes - safety Consumer Goods- warranty, safety Industry - safety , predictive, maintenance Retail - Inventory Management, Predictive
  22. 22. Insurance Examples progressive snapshot https://www.progressive.com/auto/snapshot/ To participate you attach the Snapshot device to the computer in your car, which collects data about your driving habits. According to Progressive, the device records your vehicle identification number (VIN), how many miles you drive each day and how often you drive between between midnight and 4 a.m. After driving with Snapshot for 30 days, you return it to Progressive and, depending on your driving habits, the company says you can get a discount up to 30%
  23. 23. Insurance Examples John Hancock his team set out to find a way to leverage the wealth of data collected by wearable technologies, including the popular FitBit and recently released Apple Watch, to give something back to their customers. The end result was John Hancock Vitality, a new life insurance product that offers up to a 15 percent premium discount to customers who track their healthy habits with wearables and turn that information over to the insurance company. New buyers even get their own FitBit to begin tracking. http://www.insurancenetworking.com/news/data-analytics/big-datas-big-guns-john-hancock-35954-1.html Fitbit Inc. is an American company known for its products of the same name, which are activity trackers, wireless-enabled wearable technology devices that measure data such as the number of steps walked, heart rate, quality of sleep, steps climbed, and other personal metrics.
  24. 24. Google Nest https://nest.com/ Nest Labs is a home automation producer of programmable, self-learning, sensor-driven, Wi-Fi-enabled thermostats, smoke detectors, and other security systems. It introduced the Nest Learning Thermostat in 2011 as its first product. The Nest Protect smoke and carbon monoxide detector was then introduced in October 2013.[3] After the acquisition of Dropcam, the rebranded Nest Cam was introduced in June 2015. [4] Finally, in July 2016, the Nest Cam Outdoor was released. [5] Co-founded by former Apple engineers Tony Fadell and Matt Rogers in 2010, the start-up company quickly grew to have more than 130 employees by the end of 2012.[6] Alphabet Inc. (Google) acquired Nest Labs for US$3.2 billion in January 2014, https://en.wikipedia.org/wiki/Nest_Labs
  25. 25. IBM - Automotive IoT http://www.ibm.com/internet-of-things/iot-solutions/iot-automotive/
  26. 26. Wipro IoT http://www.wipro.com/documents/internet-of- things.pdf
  27. 27. Smart Lighting controlled by internet
  28. 28. Home Security
  29. 29. Internet of Things :Opportunity Data can be mined for patterns and predictions. This will further increase the need for data scientists. Just as IT and BPO proved, India could also be the outsourcing hub for data scientists as well as people providing support to IoT A huge opportunity for hardware supply chain for sensors. Software creators can also help in IoT apps
  30. 30. Trends and Challenges for Data Science Tools, Training, Hardware and Budgets are challenges Data Science analyzes data, but the volume and variety of data is exploding Data Scientists need to keep up with ever expanding software Education needs to keep up
  31. 31. Trends and Challenges for Data Science Tools, Training, Hardware and Budgets are challenges Data Science analyzes data, but the volume and variety of data is exploding Data Scientists need to keep up with ever expanding software Education needs to keep up
  32. 32. Source https://en.wikipedia.org/wiki/Arduino
  33. 33. Raspberry Pi https://en.wikipedia.org/wiki/Raspberry_Pi# Use_in_home_automation The Raspberry Pi is a series of credit card-sized single-board computers There are a number of developers and applications that are leveraging the Raspberry Pi for home automation. These programmers are making an effort to modify the Raspberry Pi into a cost affordable solution in energy monitoring and power consumption. Because of the relatively low cost of the Raspberry Pi, this has become a popular and economical solution to the more expensive commercial alternatives
  34. 34. Raspberry Pi http://www.instructables.com/id/Raspberry- Pi-Temperature-Humidity-Network-Monitor/
  35. 35. Opportunities and Challenges for India 1. Shortage of Data Scientists skilled in both statistics, programming,machine learning and munging huge data 2. Underinvestment in Data Science due to risk aversion or understanding 3. Lack of Formal Education in both data science and IoT in engineering colleges and management colleges 4. Under involvement of academia in open source 5. Lack of domestic cloud players 6. Lack or lag of domestic market due to price sensitivity 7. Lack of investment by Government of India 8. Huge and Dynamic Manpower is the opportunity
  36. 36. Questions

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