Artificial Intelligence Applications in Business

1. ARTIFICIAL INTELLIGENCE
APPLICATION IN
BUSINESS
- APOORVA GUPTA
- DIPTI SANGARE
- RACHI PANDYA

2. ● “The science and engineering of making intelligent machines,especially intelligent
computer programs”.John McCarthy(FATHER OF AI)
● way of making a computer, a computer-controlled robot, or a software think
intelligently, in the similar manner the intelligent humans think.
Goals of AI
● To Create Expert Systems − The systems which exhibit intelligent behavior, learn,
demonstrate, explain, and advice its users.
AI INTRODUCTION

3. ● To Implement Human Intelligence in Machines − Creating systems that
understand, think, learn, and behave like humans.

4. CATEGORIES OF ARTIFICIAL INTELLIGENCE
CATEGORY
COGNITIVE
SCIENCE
ROBOTICS
NATURAL
LANGUAGE
➔ Expert System
➔ Fuzzy Logic
➔ Neural Network
➔ Natural
Language
Processing
➔ Biometrics
➔ Virtual Reality

5. COGNITIVE SCIENCE
Based on research in biology, neurology, psychology, mathematics, and many allied disciplines.
It focus on researching how the human brain works and how humans think and learn.
● Expert System
● Fuzzy Logic
● Neural Network

6. EXPERT SYSTEM
The Expert systems are the computer applications developed to solve complex problems in
a particular domain, at the level of extra-ordinary human intelligence and expertise.

7. APPLICATIONS OF EXPERT SYSTEM IN BUSINESS
1.Employee Performance Evaluation 2.Management Information System

8. 3.Planning and Scheduling 4.IT Help Desk Management

9. FUZZY LOGIC
The term fuzzy refers to things which are not clear or are vague. In the real world many
times we encounter a situation when we can’t determine whether the state is true or false,
their fuzzy logic provides a very valuable flexibility for reasoning. In this way, we can
consider the inaccuracies and uncertainties of any situation.

10. APPLICATIONS OF FUZZY LOGIC IN BUSINESS:
1. Decision Support System 2. Personnel Evaluation

11. ARTIFICIAL NEURAL NETWORK (ANN):
A neural network as a computing system made up of a number of simple, highly
interconnected processing elements, which process information by their dynamic state
response to external inputs. -Dr. Robert Hecht-Nielsen
Fig. BIOLOGICAL NEURAL NETWORK
Fig. ARTIFICIAL NEURAL NETWORK

12. APPLICATION OF ANN IN BUSINESS
1.Text Classifier
2.Classify Inbound Calls
3.Character Recognition
4.Stock Market Prediction

13. Robotics is a domain in artificial intelligence that deals with the study of creating intelligent and
efficient robots. Robotics is a branch of AI, which is composed of Electrical Engineering,
Mechanical Engineering, and Computer Science for designing, construction, and application of
robots.
ASPECTS OF ROBOTICS:
• The robots have mechanical construction, form, or shape designed to accomplish a particular task.
• They have electrical components which power and control the machine
• They contain some level of computer program that determines what, when and how a robot does
something.
ROBOTICS

14. APPLICATION OF ROBOTICS IN BUSINESS
1. Agriculture 2. Warehouse Logistics

15. 3. HealthCare 4.Security Guard

16. NATURAL LANGUAGE APPLICATION
The natural use of computers by human. This involves R&D in linguistics ,
psychology , computer science and other disciplines.
● Natural Language Processing ( NLP )
● Biometrics
● Virtual Reality

17. Natural Language Processing
Natural language processing (NLP) is a subfield of computer science and artificial
intelligence concerned with the interactions between computers and human (natural)
languages, in particular how to program computers to process and analyze large
amounts of natural language data.

18. APPLICATION OF NLP IN BUSINESS
1. Hiring Tool
2. Chatbot

19. BIOMETRICS
Biometrics is the technical term for body measurements and calculations. It refers to
metrics related to human characteristics. Biometrics authentication is used in
computer science as a form of identification and access control. It is also used to
identify individuals in groups that are under surveillance.

20. APPLICATION OF BIOMETRICS
1. Verification
2. Identification

21. VIRTUAL REALITY
VR is one technology, which has a real business value as well. Today, more and more
businesses are coming with newer and innovative techniques to incorporate VR into
their routine business processes and are trying to make their operations more
productive and efficient.

22. APPLICATION OF VIRTUAL REALITY
1. Reduced Business Travel & Efficient Business Meetings
2. VR Can Provide Competitive Advantage to Businesses
3. Interviewing Candidates will be Easier
4. VR will be an Important Tool in Training

23. CONCLUSION
The use of artificial intelligence across the organizations and businesses has
widespread and there is no stopping. Those who are adopting new technologies will
stay abreast of their competitors while others will just watch the tables turned upside
down. Artificial intelligence is not going to stop in any way and you have to adopt it
before anyone else does.

24. REFERENCE
• [1]https://www.zdnet.com/article/robotics-in-business-everything-humans-need-to-
know/
• [2]https://www.techworld.com/picture-gallery/apps-wearables/uses-of-robotics-in-
businesshow-will-robots-be-used-in-future-3649782/
• [3]https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_robo
tics.htm
• [4]https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_neur
al_networks .htm
• [5]https://www.cmswire.com/digital-experience/what-is-a-neural-network-and-
how-arebusinesses-using-it/