Artificial intelligence and Internet of Things.pptx

ARTIFICIAL INTELLIGENCE
AND
INTERNET OF THINGS
PRESENTED BY :
SRILAKSHMI.H AND KOUSHIK BARATHVAJ.G
MADRAS INSTITUTE OF TECHNOLOGY

2
• What is AI? What is IOT?
• Applications of AI Uses of IOT
• Types of AI Benefits
• NLP Future of IoT
• Future of AI IoT + AI
• Challenges of AI
Contents

Artificial
• Artificial intelligence
also known as AI is the
simulation of human
intelligence processes
by machines, especially
computer systems.
• AI has been around for
decades but has seen a
surge in popularity due to
its advances in
technology and
computing power in the
modern era.
• AI makes to possible
for machines to learn
from experience ,
adjust to new inputs
and perform human
like tasks.
• Through AI, computers
harness massive
amounts of data and
use their learned
intelligence to make
optimal decisions and
discoveries in fractions
of the time that it would
take humans.
3

Healthcare:
Medical
Diagnosis,
Telemedicine,
Drug Discovery
Faster decision
making
Retail: Customer
Personalization,
Inventory
Management
Resilient to work
on extreme
conditions
Education: Adaptive
Learning, Automated
Grading, personalized
learning tools
Reduction of errors
Marketing:
Customer
Segmentation,
Predictive
Analytics.
Agriculture:
Precision Farming,
Livestock
Monitoring
Manufacturing:
Predictive
Maintenance,
Quality Control
Performs
repetitive jobs
Finance: Fraud
Detection,
Investment
Management
Automotive:
Autonomous
Vehicles,
Advanced Driver
Assistance
Systems
4

• NarrowAI
 Targets a single subset of cognitive abilities and advances in that spectrum. Eg:Apple siri ,IBM
Watson supercomputer ,Google translate…
• GeneralAI
 General AI can understand and learn any intellectual task that a human being can. It
allows a machine to apply knowledge and skills in different contexts.
 Eg: Open AI , Tianhe-2
• SuperAI
 Super AI surpasses human intelligence and can perform any task better than a human
 Some of the critical characteristics of super AI include thinking, solving puzzles,
making judgments, and decisions on its own.
 .
TYPES OF ARTIFICIAL INTELLIGENCE
5

Natural Language Processing (NLP) is a branch of
Artificial Intelligence (AI) that enables machines to
understand the human language.
It involves the dealing of lot of unstructured data.
NLP analyzes the grammatical structure of sentences,
and the individual meaning of words, then uses
algorithms to extract the meaning and deliver outputs.
Real world applications and use cases of NLP include
• Voice controlled assistants
• Question answering by customer service chatbots
• Language models which are trained to predict the
next words in a text , based on what has already
been typed. 6

It is already the main driving
tool of emerging
technologies like
1.Big data
2.Machine learning
3.Deep learning
4.Robotics and
5.IoT , etc..
Artificial intelligence is shaping
the future of humanity across
nearly every industry.
2300 of the total 9130 patents
funded and received by IBM
are AI-related.
Autonomous
cars and
reusable space
rockets.
Smart cities with high security
systems and advanced
transport facilities.
Advancedment of
AI powered
chatbots like
chatgpt ,
wonderAI , etc
7

Challenges of AI
 Displacing occupations and increasing
unemployment
 Ethics and morality
 It lacks human emotions
 It can make us , human beings lazy and
reckless.
 It is capable of learning over time with pre-fed
data and past experiences, but cannot be
creative in it’s approach.
 Cost to meet the latest requirements is high.8

Internet of Things(IoT)
Connected devices provide rich
communication and improve safely and
security with rapid emergency event notices
such as an emergency contact point call or
a device trigger.
IoT is currently used in nearly all fields
mainly in smart houses automated cars and
smart cities.
IoT refers to the interconnected
network of physical devices, vehicles,
home appliances, and other items
embedded with electronics, software,
sensors, and connectivity which
enables these objects to collect and
exchange data.
9

Healthcare:
The use of weareables or sensors connected to
patients , allows doctors to monitor a patient’s
condition outside the hospital and in real-time.
Traffic monitoring:
The IoT can be useful in the management of
vehicular traffic in large cities, contributing to the
concept of smart cities.
Agriculture:
Through the implementation of IoT sensors , a
significant amount of data can be obtained on the
state and stages of the soil.
Fleet management:
The application of the IoT to fleet management
assists with geolocation (and with it the monitoring
of routes and identification of the most efficient
routes)
Water supply:
A sensor , either incorporated or adjusted
externally to water meters , connected to the
internet and accompanied by the necessary
software , helps to collect, process and analyze
data which allows to understand the behavior of
supply service.
10

 Security and privacy concerns
 Reliability
 Integration with existing systems
 Complexity in managing large amount od
data
 Limited standardization in the industry
 Interoperability of devices
 Connectivity issues
 Meeting user requirements is extremely
tough
 Increased efficiency and productivity
 Increased automation and control
 Identification of perpetrators in cyber
crimes
 Improved decision making through data
analysis
 Remote monitoring
 Real-time asset/resource visibility
 Better end-customer experiences
11

Future of
IoT
The future of IoT is bright, as the
technology continues to evolve and
become more widely adopted. As
more devices are connected to the
internet, the potential for new
applications and use cases
increases.
IoT will be used to improve customer
service, by providing customers with
real-time information and control
over their products and services.
IoT will play a major role in
healthcare
Availability of healthcare workers
and specialists in remote locations ,
decrease in the cost of treatments
Development of automotive industry
,precision farming , agricultural
drones.
Edge computing will play a larger
role
12
Employability rate of IoT developers and researchers in the field of technology

The integration of the Internet of Things (IoT) and Artificial Intelligence (AI) can bring about
significant improvements in various industries, leading to increased efficiency and convenience.
Here are a few ways in which IoT and AI can be integrated:
Smart Homes IoT devices can
be integrated with AI algorithms
optimize energy consumption
and improve security..
Ai algorithms can the data of the
patients and provide an accurate
and personalized diagnosis
recommendations.
Ai can be used to monitor the
road management systems and
provide route maps based on
the data given.
Predictive maintenance
Ai algorithms can be used to
analyze the data which is
provided/collected by IoT.
13

14
CONCLUSION
As the field of Artificial intelligence and internet of things continue to develop , it will have an
increasing effect on the way our people deal with the daily matters.
We are living in a digitalized world that is full of technological advancements. The future scope of
AI and IoT is paving its way to make the world a smarter and a safe place to live in.
AI and IoT holds the key to unlocking a magnificient future where , driven by data and computers
that understand our world, we will make more informed and correct decisions.

Thank you for listening to us 15
We hope you had a clear understanding of Artificial intelligence and Internet of Things

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