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1. PROMISING
TECHNOLOGIES
Seminar Presentation By Alfred
Varghese Paul

2. INTRODUCTION:-
 Promising technologies are
technologies whose development,
practical applications, or both are still
largely unrealized. These
technologies are generally new but
also include older technologies
finding new applications.

3. WHY PROMISING TECHNOLOGIES ?
 Promising technologies play a vital role in the
modernization of industries. New technologies help
in transforming enterprises into a digital world. They
increase our productivity, make the services we
need more accessible, and, overall, make our lives
easier.

4. DISADVANTAGES OF TECHNOLOGIES :-
 Increased dependency on technology.
 Increased risks of job cuts.
 Closure of high street stores in favor of online
business.
 Security risks in relation to data and fraud.
 Required regular updates.
 A small error might stop all business operations
instantly.

5. PROMISING TECHNOLOGIES:-
 Artificial Intelligence
 Internet Of Things (IOT)
 3D Printing
 Quantum computing
 Machine learning

6. ARTIFICIAL INTELLIGENCE :-
WHAT IS AI ?
• A branch of computer science dealing with
the simulation of intelligent behaviour in
computers.
• The capability of a machine to imitate the
intelligent human behaviour.
• Google Now, Siri , and Cortana are all
intelligent digital personal assistants on
various platforms like Android, Ios,
Windows. We can use them to make calls,
send messages, take notes etc..

7. ARTIFICIAL INTELLIGENCE :-
 Advantages of AI:-
 Precision and Accuracy.
 Fraud detection, manage records.
 Lacking the emotional side.
 Can do repetitive and time consuming tasks.
 Robotic pet, Robotic radio surgery.
 Disadvantages of AI:-
 Cost incurred in the maintenance and repair.
 Humans may become dependent on machines.
 Lack a creative mind.
 Abilities of human may diminish.
 Unemployment.

8. INTERNET OF THINGS (IOT) :-
WHAT IS IOT ?
The Internet of Things is the network of physical objects or
things embedded with electronics, software, sensors, and
network connectivity, which enables these objects to collect
and exchange data.
IOT allows objects to be sensed and controlled
remotely across existing network infrastructure, creating
opportunities for more direct integration between the physical
world and computer based systems, and resulting in improved
efficiency, accuracy and economic benefits.

9. INTERNET OF THINGS (IOT) :--
How IOT Works?
 RFID :- To identify and track the data.
 SENSOR:-To collect and process the data to detect the
changes in the physical status of things.
 SMART TECH:-To enhance the power of network by
processing capabilities to different part of the network.
 NANO TECH:- To make smaller and smaller the things that
have the ability to connect and interact.

10. INTERNET OF THINGS (IOT) :-
 Lower operating costs.
 Higher employee
productivity.
 Better customer
experiences.
 New consumer insights.
 Security and privacy issues.
 Lack of technological
knowledge.
 Internet and power
connectivity dependence.
 Time consuming and
expensive to implement.
Advantages of IOT Disadvantages of IOT

11. 3D PRINTING :-
3D Printing is a form of additive manufacturing
technology where a 3 dimensional object is created
by laying down successive layers of material.
3D Printable models may be created with a
computer aided design package or via 3D scanner,
where 3D scanning is the process of analyzing and
collecting data of real object.

12. HOW 3D PRINTING IS DONE ?
 To perform a print, the machine reads the design
from 3D printable file (STereoLithography file).
 It lays down successive layers of liquid, powder,
paper or sheet material to build the model from a
series of cross sections.
 These cross sections which correspond to virtual
cross section from the CAD model are joined to
create the final shape.

13. PROS AND CONS OF 3D PRINTING:-
 Flexible Design- Can print
more complex designs.
 Rapid prototyping-Is
inexpensive and quicker at
creating parts as the part
can be finished in hours.
 Print on demand-Doesn’t
need a lot of space to stock
inventory, this saves space
and costs as there no need
to print in bulk.
 Fast design and production-
Can print objects within
hours.
 Reduction in manufacturing jobs
 Design Inaccuracies-Can be
fixed in post processing but
increased time and cost of
production.
 Copyright issues-Possibility for
people to create fake or
duplicate products and it will be
impossible to tell the difference.
 Restricted build size-Anything
bigger will need to printed in
separate parts and join together
after production.
PROS CONS

14. QUANTUM COMPUTING:-
WHAT IS QUANTUM COMPUTER ?
A quantum is a machine that performs calculation
based on the laws of quantum mechanics, which is
the behaviour of particles at the sub atomic level.
This computing method works with qubits.
Instead of dealing with one definite problem at a
time, it computes numerous probabilities at once.
A quantum computer is expected to be able to
deal with more problems. Instead of counting the
definite problem, it calculates the possible solution
for that problem, regardless of the type.

15. QUANTUM COMPUTING:-
 People can produce goods at
lower costs because the R&D
process occurs in a virtual
lab.
 The amount of time to create
urgent innovations is cut
short.
 Before manufacturing items,
the developers can detect
their possible failures and
work on solutions.
 The manufacturing becomes
more sustainable and
environmentally friendly.
 Algorithm creation-For every type
of computation, it needs to write
a new algorithm.
 The low temperature needed-
Needs temperature of -
460degF.lowest temperature in
the universe and is very difficult
to maintain.
 Not open for public-Due to high
range price. Errors are high as it
is in developing stage.
 Accuracy-Quantum computers
work fine in 10 qubits but after
increasing qubits like 70 qubits,
the accuracy is not right.
ADVANTAGES DISADVANTAGES

16. MACHINE LEARNING :-
WHAT IS MACHINE LEARNING?
A branch of artificial intelligence, concerned with
the design and development of algorithm that allow
computers to evolve behaviour based on empirical
data.
Machine learning refers to a system capable of
the autonomous acquisition and integration of
knowledge.
Machine learning has various applications
such as Face detection, Image segmentation,
economical and commercial usage.

17. MACHINE LEARNING :-
 Easily identifies trends and
patterns-eg Amazon,Flipkart
 No human intervention
needed-machines have the
ability to learn, it lets them
make predictions and
improve the algorithms.
 Continous improvement-As
MI gain experience, they
keep improving in accuracy
and effieciency.
 Wide applications
 Data acquisition- MI
requires massive data sets
to train on.
 Time and resource-MI
needs enough time to let
the algorithms learn and
develop.
 High error susceptiblity.
 To get accurate results.
ADVANTAGES DISADVANTAGES

18. REFERENCES:-
 http://www.library.thinkquest.org
 Cisco whitepaper, “The internet of things”
 Dr. Mazlan Abbas,MIMOS Berhad, Wisma IEM,Petaling Jaya
 http://www.rtejournal.de/ausgabe10/3562
 http://www.bbc.co.uk/news/science-environment-12811199
 http://plato.stanford.edu/entries/qt-quantcomp/
 M. Marakas, George; Decision support systems in the 21St
century second edition.
 Theresa Bray, Marie; Machines that can ‘Learn’ to recognise
patterns.

19. THANK YOU