The document outlines the key concepts and applications of artificial intelligence (AI), emphasizing its definition, evolution, and multidisciplinary nature. It covers machine learning and deep learning as subsets of AI, exploring their functionalities and real-world applications, as well as barriers to AI development. The document also discusses Futran's partnership in providing advanced AI resources and solutions across various domains.

1. Artificial Intelligence

2. Topics to cover
What is AI?
How to understand AI?
Is AI multidisciplinary ?
Machine Learning and how to give input to AI
Deep Learning ?
Applications
Barriers of AI
Futran and AI
Our Partner

3. What is Artificial
Intelligence ?

4. “Mimicking
Human
Intelligence”
Let’s keep it simple as this topic gets complicated,
Artificial - Made or produced by human beings rather
than occurring naturally, especially as a copy of
something natural.
Intelligence - the ability to acquire and apply
knowledge and skills.
Artificial Intelligence - Artificial intelligence (AI) is an
area of computer science that emphasizes the
creation of intelligent machines that work and react
like humans.
There are many different definitions from the time it
has been termed, All provide similar answer and all
are correct ( Many world definations )

5. How to understand AI? Machines Mimicking Human Intelligence
such as
● Speech recognition
● Learning
● Planning
● Problem solving
● Knowledge
● Reasoning
● Problem solving
● Perception
● Learning
● Planning
Can be considered as Artificial Intelligence.

6. Few Moments of
Brainstorming
“Every possible Science Fiction is
a probable Future”
Even AI has evolved from fiction to
science,
Since the Terminator we are afraid of the
AI let’s find out at the end.
If AI does pose such a threat to
Humanity?

7. The Original 7 concepts of AI
1. Simulating Higher Functions of the human brain
2. Programing a computer to use general language
3. Arranging hypothetical neurons in a manner so that they can form concepts
4. A way to determine and measure problem complexity
5. Self-improvement
6. Abstraction
7. Randomness and creativity

8. One Quick Guess,
How much have we unraveled concepts of AI?
The answer is pretty interesting, These concepts are from 1950.
until now we have covered all except one
“ Randomness and Creativity ” which we are still trying to solve, but from recent Sofia to Movies
written by Algorithms We are pretty much witnessing “Evolution” of AI

9. Is AI multidisciplinary? The emerging field of artificial intelligence (AI) spans the
intersection of psychology, informatics, etc.
Mathematics and Psychology are often termed as Parents
of AI
AI is multidisciplinary and can be applied almost every field
replacing human interaction with the macchine

11. You can think of deep learning, machine learning and artificial
intelligence as a set of Russian dolls nested within each other,
beginning with the smallest and working out. Deep learning is a
subset of machine learning, and machine learning is a subset of
AI.
Machine learning is a subset of AI. That is, all machine learning
counts as AI, but not all AI counts as machine learning. For
example, symbolic logic – rules engines, expert systems and
knowledge graphs – could all be described as AI, and none of
them are machine learning.
Machine Learning

12. Natural Language Processing
How does your Smart assistant understand you?
An AI system can work and improve on its own but,
How does it interpret/understand Human Language ?
It can only understand Symbols and Rules a Human
Language is converted into Symbols, and Rules
If there are unknown rule
Rules ---> Stored in KnowledgeBase
But this doesn’t answer the previous Question
Speech recognition software captures data breaks
down to rules

14. Deep Learning
Deep learning is a subset of machine learning. Usually, when people use the term deep
learning, they are referring to deep artificial neural networks, and somewhat less
frequently to deep reinforcement learning.
Deep artificial neural networks are a set of algorithms that have set new records in
accuracy for many important problems, such as image recognition, sound recognition,
recommender systems, etc. For example, deep learning is part of DeepMind’s well-
known AlphaGo algorithm, which beat the former world champion Lee Sedol at Go in
early 2016, and the current world champion Ke Jie in early 2017.

15. Perceptron

16. Only if AI is a Physical Organ...
Artificial Neural Networks have gained attention during the recent years,
driven by advances in deep learning.
Meet the perceptron.
A computer model or computerized machine devised to represent or simulate the
ability of the brain to recognize and discriminate.
This Basic form of Neural Network That can be Programmable and can recognise
the outcomes

17. Applications of AI
Fraud Detection
Smart Cars
Video Games
Virtual Personal Assistants
Auto CAD

18. Message Bots
Smart Home Devices
Music and Movie Recommendation Services
Security Surveillance
News Generation
Online Customer Support

19. B
A
R
R
I
E
R
S
● An inability to collaborate
● Specialization
● A lack of emotional
intelligence
● Access to data
● Lack of Imagination
● Wrong Hands

20. The Answers
That You are
Waiting For

21. We are stuck
in the
progress of
Evolution
with All
possible
Outcomes

22. Artificial Intelligence
and Futran

23. Futran IT consulting sources and provides top-
of-the-league AI resources. Futran Solutions
also educates and trains Ai resources through
pictures, numeric systems, and content that
comprehensively sum up machine learning for
aspiring techies.
We Provide Solutions To the Client On
following Areas

24. RPA
RPA or Robotic Process Automation allows employees configure computer program (a
robot) to use existing apps for modulating data, processing transactions, initiating
responses and interacting with other digital or automated systems.
MACHINE LEARNING
R Language and Python are the two most frequently used languages for data analysis in
machine learning. Algorithms are first made in these two languages in the model
building phase before they are implemented in the prediction phase.
NATURAL LANGUAGE PROCESSING
Many techniques of Natural Language Processing (NLP) have often been a part of
Information Retrieval. Some of the most common NLP techniques include part-of-speech
tagging, stemming, compound recognition, chunking, and de-compounding.

25. DECISION MANAGEMENT
Decision Management is a set of defined parameters and processes that include designing,
building, and implementing decision-making systems through which a company interacts
with clients, customers, or even their own employees.
DIGITAL VIRTUAL AGENTS
A digital virtual agent is a non-human customer service agent which is essentially a
chatterbot program that uses a computer-generated, animated, and artificially
intelligent character. VAs aim to make customer service experiences as human-like
as possible.
KNOWLEDGE VIRTUALIZATION
Virtualization is technological process in which a guest operating system, an
application, or data storage is abstracted from the hardware or software placed
below it. The virtualization technology is often used for server virtualization.

26. A Quick Look About
Our Recent Partner

27. Powered by built-in analytics
and cognitive solutions,
Automation Anywhere offers a
composite RPA platform. The
enterprise grade solution is
also one of the most
sophisticated Digital
Workforce Platforms available.
Futran Solutions leverages this
partnership with Automation
Anywhere to help enterprises
with efficient management and
scaling of their processes.

29. Summary
● AI
● Understanding AI
● Multidisciplinary concepts of AI
● Machine Learning
● NLP
● Deep Learning
● Perceptron
● Applications
● Barriers