1.
Impact of Artificial
Intelligence
By Shinjon Kumar Sarkar

2.
 What is Artificial Intelligence
 Future of AI and Growth
 Why we focus On AI
 Current Status of AI and
Application
 Challenges
 Conclusion
Contents

3.
What is Artificial Intelligence
Artificial Intelligence(AI) refers to the
simulation of human Intelligence in
machines that are programmed to think like
humans and mimic their actions.The term
may also be applied to any machine that
exibits traits associated with a human mind
such as learning and problem solving.

4.
Why we focus on AI
Sports Analytics
Energy
forcasting
Manifacturing
Optimization
Machine
Learning and
Deep Learning
Natural Language
processing
Computer
Vision
Forcasting and
Optimization
Health Care
Some Important
Points

5.
Current Status OF A.I.
AI-enhanced technologies and solutions are now more widely available than before across
industries, though they are not necessarily cheap to implement.
Voice-based assistants are at the forefront of the AI adoption process in industries
as diverse as IT,automotive and retail.
Smaller-scale AI as seen in chatbots enables smaller brands to save resources and
improve customer satisfaction.
An increasing number of AI-enhanced tools are available as software-as-a-
servise(SaaS).
Mobile devices and apps have become one of the easiest ways to deploy AI
technologies across industries ,whether its in the form of voice assistants ,smart
monitoring and control,personalized shopping experiences or warehouse
management apps.
AI is present in intelligent applications, neuronal networks, AI platforms as a service
and AI cloud services.

6.
Current status of AI
Emerging AI technologies include augmented intelligence, which seeks to enhance human intelligence and
edge AI ,where AI algorithms are processed locally without the need for an internet connection (such as some
forms of face recognition).
According to The Artificial Intelligence Index Report, AI computing power keeps doubling every 3.4 months.

7.
Challenges of AI
Supporting IT
systems
Processing
Unstructured
Data
Improving
Cybersecurity
AI tools for
Marketing
Integration to
Augmengted
Intelligence
Transperancy
The hunt for AI
Talents
AI Integration
with Cloud
Improving
Speech and Text
AI
Establish AI
Ethics
10 Top Challenges of AI
technology in 2021

8.
8986.57
7642.83
7259.35
6394.41
5950.55
5713.6
5385.1
5370.85
5295.03
MACHINE/VEHICULAR OBJECT DIRECTION/IDENTIFICATION/AVOIDANCE
STATIC IMAGE RECOGNITION,CLASSIFICATION AND TAGGING
PATIENT DATA PROCESSING
ALGORITHMIC TRADING STRATEGY PERFORMANCE IMPROVEMENT
LOCALIZATION AND MAPPING
PREDICTIVE MAINTENANCE
PREVENTION AGAINST CYBER SECURITY THREATS
CONVERTING PAPEWORK INTO DIGITAL DATA
INTELLIGENT REQUIREMENT AND HR SYSTEMS
Machine/vehicular
object
direction/identificat
ion/avoidance
Static image
recognition,classific
ation and tagging
Patient data
processing
Algorithmic trading
strategy
performance
improvement
Localization and
mapping
Predictive
maintenance
Prevention against
cyber security
threats
Converting
papework into
digital data
Intelligent
requirement and
HR systems
Series 1 8986.57 7642.83 7259.35 6394.41 5950.55 5713.6 5385.1 5370.85 5295.03
Global AI Revenue Forcast 2016-2025
from lower to upper ranked by use case(In Millions of Dollars)
Future of AI and Growth

9.
Conclusion
In it’s short existence,AI has increased understanding of the nature of intelligence and provided an
impressive array of application in a widw range of areas .It has sharpened understanding of human
reasoning, and of the nature of intelligence in general. At the same time, it has revealed the
complexity of modeling human reasoning providing new areas and rich challenges for the future.

10.
Thank
you