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.
Introduction

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.
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.
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.
Internet of Things (IoT):
A Data Science Perspective
Saturday, November 19, 2016
Institute of Management Studies, Ghaziabad
Ajay Ohri

7.
Agenda
Defining Internet of Things
Examples of “Things” that are connected
Challenges for Data Science
Opportunities and Challenges for India

8.
Internet of Things
http://link.springer.com/chapter/10.1007/978-1-4419-8237-7_13#page-2

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.
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.
History of IoT
Credit- http://www.postscapes.com/internet-of-things-history/

12.
History of IoT
Credit- http://www.postscapes.com/internet-of-things-history/

13.
History of IoT
Credit- http://www.postscapes.com/internet-of-things-history/

14.
Hype of IoT :2011
Credit- http://www.postscapes.com/internet-of-things-history/

15.
Hype of IoT :2014
Credit- http://www.postscapes.com/internet-of-things-history/

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.
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.
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.
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.
Internet of Everything

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.
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.
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.
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.
IBM - Automotive IoT
http://www.ibm.com/internet-of-things/iot-solutions/iot-automotive/

26.
Wipro IoT
http://www.wipro.com/documents/internet-of-
things.pdf

27.
Smart Lighting controlled by internet

28.
Home Security

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.
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.
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.
Source https://en.wikipedia.org/wiki/Arduino

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.
Raspberry Pi
http://www.instructables.com/id/Raspberry-
Pi-Temperature-Humidity-Network-Monitor/

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.
Questions