National Seminar on Emergence of Internet of Things (IoT): Trends and Challenges”

Saturday, November 19, 2016

Institute of Management Studies, Ghaziabad

Ajay Ohri

Introduction

Ajay Ohri author of two books on R*12 years in data science /analytics

http://linkedin.com/in/ajayohri

*and 4 books on poetry

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

Introduction

As Featured in● IBM Big Data

http://ibmdatamag.com/author/aohri/

● Social Media Todayhttp://www.socialmediatoday.com/content/blogger-week-ajay-ohri

● Programmable Webhttps://www.programmableweb.com/profile/ajayohri

● Wiredhttp://www.wired.com/2014/08/algorithmia/

● ReadWriteWebhttp://readwrite.com/2011/06/01/an-app-store-for-algorithms

● KDNuggetshttp://www.kdnuggets.com/2014/05/guide-to-data-science-cheat-sheets.htmlhttp://www.kdnuggets.com/2014/06/interview-ingo-mierswa-rapidminer-analytics-turning-points.html http://linkedin.com/in/ajayohri

Internet of Things (IoT): A Data Science Perspective

Saturday, November 19, 2016

Institute of Management Studies, Ghaziabad

Ajay Ohri

Agenda

Defining Internet of Things

Examples of “Things” that are connected

Challenges for Data Science

Opportunities and Challenges for India

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_-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 fullyoperable, in order to allow for an effective introduction of the new informationarchitecture. If a self-regulatory approach is to be adopted to provide a legalframework for the Internet of Things, and this seems preferable, rulemakers candraw on experiences from the current regime of Internet governance. In the nearfuture, mainly businesses will operate in the Internet of Things. Civil society isonly 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 asthe privacy of its users.

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

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

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

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

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

Hype of IoT :2014Credit- 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 country.

This will also need more computational power to analyze data.

Does India need a cloud (or should it depend on azure, amazon, google)

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

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

Internet of Things :Growthhttp://www.businessinsider.in/The-Internet-of-Things-Will-Be-The-Worlds-Most-Massive-Device-Market-And-Save-Companies-Billions-Of-Dollars/articleshow/44766662.cms

Internet of Everything

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

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%

Insurance ExamplesJohn 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.

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

IBM - Automotive IoT

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

Wipro IoThttp://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 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

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

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

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

Raspberry Pihttps://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

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

Opportunities and Challenges for India1. 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

9. Mature IT industry

Questions