Analytics, Machine Learning and Internet of Things

Analytics, Machine Learning and Internet of Things
Guided by,
Deepa Thomas
Professor
Presented by,
Roshan Thomas
S7 CSE
Roll no.- 4628
Department of Computer Science & Engineering19-11-2015 1

“Data is the new OIL”
Department of Computer Science & Engineering 219-11-2015

Cntd…
• Data is the new “OIL”.
• Data is out there and is free (Open data).
• It provides no competitive advantages.
• Finding patterns in data is the holy grail (the oil!).
• But only few devices out there provide and share data.
• There is where the IoT plays its part.
• It makes commonly used devices connected to internet
extract data from it.

What is Internet of Things

The Internet of Things
“Internet of Objects” “Machine-to-Machine Era”
(2) Internet of Things refers to the concept that the
Internet is no longer just a global network for people to
communicate with one another using computers, but it is
also a platform for devices to communicate electronically
with the world around them.”
Center for Data and Innovation
(1) The Internet of Things, also called The Internet of
Objects, refers to a wireless network between objects,
usually the network will be wireless and self-configuring,
such as household appliances.
Wikipedia
“Internet of Everything”

• The term Internet of Things was first used by Kevin Ashton
in 1999.
• Internet of Things shortly called as IoT.
• The Internet of Things (IoT) refers to the ever-growing
network of physical objects that feature an IP address for
internet connectivity.
• And the communication that occurs between these objects
and other Internet-enabled devices and systems is termed IoT.
• In short every device you interact connected to a network.
6
Cntd…
Department of Computer Science & Engineering19-11-2015

Demonstration from Intel Corps.

Existing System
• Internet is not smart enough.
• Heavy spamming and cheating.
• Deep web or Mariana's web promoting underworld crimes.
• Not reachable to rural areas.
• Slow uplink and downlink time.
• Only limited to computer, TV’s and mobile devices.

Internet Usage and Population
Statistics

Typical Views of the Internet
of Things
Industrial Automation Smart Health
Smart Home Smart City

Proposed system
RTOS Sensor Smart Tech Nano Tech
To identify
and track the
data of
things and
efficient
multi-tasking
on devices
To collect
and process
the data to
detect the
changes in
the physical
status of
things
To enhance
the power of
the network by
devolving
processing
capabilities to
different part
of the network.
To make the
smaller and
smaller
things have
the ability to
connect and
interact.

Machine Learning
• How to construct computer programs that automatically
improve with experience ?
• Think of it as foot wears we wear in time adjust to our foot
pattern, Such should a computer program.
• If our mothers knows what we need at what time then why
can’t an advanced algorithm can’t.

Machine Learning and IoT
• Google's acquisition of Deep Mind Technologies
• In 2011, Stanford computer science professor Andrew N.g
founded Google’s Google Brain project, which created a
neural network trained with deep learning algorithms, which
famously proved capable of recognizing high level concepts,
such as cats, after watching just YouTube videos--and
without ever having been told what a “cat” is.
• Implementation digital assistants in every modern
computational devices like Cortana, Google now, Hound,
Siri.

What problems can machine
learning address?
• Spam Detection
• Credit Card Fraud Detection
• Digit Recognition
• Speech Understanding
• Face Detection
• Product Recommendation
• Medical Diagnosis
• Stock Trading
• Customer Segmentation
• Shape Detection

Applications of IoT
Education
Food
Management
IoT
Applications
Retail
Logistics
Pharmaceuticals

Analytics with IoT
What is ANALYTICS ?
• Data analytics (DA) is the science of examining
raw data with the purpose of drawing conclusions about that
information.
• Data analytics is used in many industries , companies and
organization
• They help make better business decisions and in the sciences
to verify or disprove existing models or theories.

Cntd…
• Iot with analytics is called as IoTA.
• It is different from web analytics.
eg. – Google analytics
• Tellient is one such platform which collects analytic data.

Future works and projects
• Many projects came to life recently.
• Google separated as a separate company focusing on IoT.
• Release of Windows 10.
• Next BIT mobile OS released at TTIA on 15/09/2015.
• 5G commercial release by 2018
• Newer USB type C/3.1
• At Google I/O 2015 developer conference few beta IoT projects were shown,
they are –
Project ARA
Project Jacquard
Project Fi – Hotspot 2.0
Project Tango
Project Soli
Project Vault
Polymer

Windows 10 IoT core edition
for Raspberry PI

Project ARA

Project Jacquard

Project Fi ~ Hotspot 2.0

Project Tango

Project Soli

Project Vault

Polymer

Challenges and Issues
• Issues
• Society: People, security, privacy
• A policy for people in the Internet of Things:
• Legislation
• Environmental aspects
• Resource efficiency
• Pollution and disaster avoidance
• Technological
• Architecture (edge devices, servers, discovery services,
security, etc.)
• Governance, naming, identity, interfaces
• Service openness, interoperability
• Connections of real and virtual world
• Standards

IoT will inherit the drawbacks of the current internet on an
infinitely larger, but more invisible scale
• Privacy – will be a huge issue when implementing IoT
• Identity - Online Fragmentation of Identity
• Efficiency – speed - person loses identity and is an IP
address
• Decisions – do not delegate too much of our decision
making and freedom of choice to things and machines
• Balancing
Cntd…

• Transition to IPv6 – Internet protocol v6
• Establishing a common set of standards between companies,
educational systems, and nations.
• The same type of cabling,
• The same applications or programming
• The same protocol or set of rules that will apply to all
• Developing energy sources for millions -even billions - of
sensors.
• Wind
• Solar,
• Hydro-electric
Cntd…

Conclusion
• Data is the new OIL.
• Completely connected world with help of IoT.
• Machine learning and analytics combined with IoT for
efficiency, accuracy, Prediction, Smartness etc as common
sense.
• It is the adaptive development of AI

References
• “Gartner Says the Internet of Things Installed Base Will
Grow to 26 Billion Units By 2020,” Gartner, 12 Dec. 2013;
www.gartner.com/ newsroom/id/2636073.
• www.googleprojects/atap/iot/aysdyu
• www.google.co.in
• www.youtube.com/intel
• www.pocketnow.com

Analytics, Machine Learning and Internet of Things

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