Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/2V0reNa

1. Introducion
to Artificial
Intelligence
Your Company Name

2. 2
Introduction
01
o What is AI?
o Introduction to AI Levels?
o Types of Artificial Intelligence
o AI VS machine learning vs deep learning
o Where is AI used?
o AI use cases
o Why is AI booming now?
o AI trend in 2020

3. Artificial intelligence (AI) is a popular branch of computer science that concerns with building
“intelligent” smart machines capable of performing intelligent tasks.
With rapid advancements in deep learning and machine learning, the tech industry is transforming
radically.
Artificial Intelligence
Transforming the Nature of Work, Learning, and Learning to Work
3
Artificial Intelligence
Machine Learning
Deep Learning
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4. Introduction to AI Levels?
4
Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Super Intelligence
Types of
Artificial
Intelligence
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5. Types of Artificial Intelligence
5
Deep Learning Machine Learning Artificial Intelligence
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6. Artificial Intelligence
6
Artificial intelligence (AI) is a popular
branch of computer science that concerns
with building “intelligent” smart machines
capable of performing intelligent tasks.
With rapid advancements in deep learning
and machine learning, tech industry is
transforming radically.
2018
2019
2020
2017 2016 2015
AI
2013 2014 2015 2016 2017
AI
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65%
35%
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7. Machine Learning
7
Machine learning is a type of AI that enables machines to
learn from data and deliver predictive models.
The machine learning is not dependent on any explicit
programming but the data fed into it. It is a complicated
process.
Based on the data you feed into machine learning
algorithm and the training given to it, an output is
delivered.
A predictive algorithm will create a predictive model.
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Information
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8. Deep Learning
8
Deep Learning is a subfield of machine learning that is
concerned with algorithms inspired by the brain's structure
A computer model can be taught using Deep Learning to
run classification actions using pictures, texts or sounds
as input
&
functions known as artificial neural
networks
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9. AI VS Machine Learning VS Deep Learning
9
o Artificial Intelligence originated around
1950s
o AI represents simulate intelligence in
machines
o AI is a subset of data science
o Aim is to build machines which are
capable of thinking like humans
o Machine Learning originated around
1960s
o Machine learning is the practice of
getting machines to make decisions
without being programmed
o Machine learning is a subset of AI &
Data Science
o Aim is to make machines learn through
data so that they can solve problems
Artificial Intelligence Machine Learning Deep Learning
o Deep Learning originated around 1970s
o Deep Learning is the process of using
artificial neural networks to solve complex
problems
o Deep Learning is a subset of Machine
Learning, AI & Data Science
o Aim is to build neural networks that
au6tonetically discover patterns for
feature detection
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10. Where is AI used?
10
Customer Experience
Supply Chain
Human Resources
Knowledge Creation
Research & Development
Fraud Detection
Real-time Operations Management
Customer Services
Risk Management & Analytics
Customer Insight
Pricing & Promotion
Predictive Analytics
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11. AI Usecase in HealthCare
11
Research
Training Keeping Well
Early Detection
Diagnosis
Decision Making
Treatment
End of Life Care
AI and
Robotics
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12. AI Use Cases in Human Resource
12
LEARNING
o Curated Training
o Skill Development
RECRUITING
o Dynamic Career Sites
o Smart Sourcing
ENGAGEMENT
o HR Chatbot
o Engagement Surveys
ONBOARDING
o Automated Messages
o Curated Videos
Employee Life Cycle
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13. AI in Banking for Fraud Detection
13
Authorization System
Neural
Network Engine
Scoring Engine
Case Creation Module
Case
Management
Database
Expert Authorization
Response Module
Expert Rules Base
Configuration
Workstation
Expert Rules Execute
Rules Definition
Cardholder
Profiles
Postings
Payment System
Nonmonetary System
Analyst
Workstation
Auth Request
1
3
Case Creation Rules Execute
6
Payment and Non-Monetary Transactions
8
Auth Recommendation
4
Auth Request & Score
2
Transaction & Score
5
Case Information
7
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14. AI in Supply Chain
14
Structured & Unstructured
Information
Regulatory
Data
B2B Transaction
Data
Inventory
Data
Multimedia
Data
Sensor
Data
Logistics
Data
Trading
Partner
Data
Social
Media
Data
Procurement Manufacturing Customers Service
Logistics
Pervasive Visibility
Proactive
Replenishment
Predictive Maintenance
Secure Device
Maintenance
Ecosystem
Integration
Unified
Messaging
Actionable
Insights
IIOT – Securely Provisionally People, System and Things
Secure Access Via Identity Management for Transient Users
Digital Ecosystem Data Lake

15. Ai Chatbots in Healthcare
15
Search Engine
Users learn to search
for information
Social Platforms
Like Facebook
connect users online
Smartphones
Bring the internet online
App Eco-system
Lets users download
and use apps easily
Messenger Apps
Lets users chat
anywhere, anytime
Artificial Intelligence
Self Learning machines
becomes smarter the
more they are used
Healthbots
Bring all of the above
together for
healthcare use cases
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16. Why is AI booming now?
16
Global AI Revenue Forecast by 2025, Ranked by Use Case in millions US Dollar
8,097 7,540 7,336
4,680
4,201
3,714 3,655 3,564 3,169
0
2,000
4,000
6,000
8,000
Static Image Recognition,
Classification and Tagging
Algorithm Trading
Strategy Performance
Management
Efficient, Scalable
Processing of Patient Data
Predictive Maintenance Object Identification,
detection, classification,
tracking
Text Query of Images Automated Geophysical
Feature Detection
Content Distribution on
Social Media
Object detection &
classification, avoidance,
navigation
100% 92% 84%
45%
54%
United
States
China India
Germany
Israel
Penetration of Artificial Intelligence Skills, by Country
22%
24%
27%
36%
37%
51%
60%
60%
66%
71%
0 20 40 60 80 100
Fleet Mobile
Expediting Transactions
Production Floor Systems
Logistics & Supply Chain
Monitoring Through External Devices/Systems
Operational Environment
HR/Workforce Management
Security/Fraud
Customer Relation/Interaction (i.e., chatbots)
External Communication
Organizations deploying AI, by Functional Areas
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17. 10 AI Trend in 2020
17
Robotic Process Automation
AI will make Healthcare more Accurate
Data Modeling will move to the Edge
AI will Come for B2B
Ai-powered Chatbots
AI In Retail
Aerospace and Flight Operations
Controlled by AI
AI Mediated Media and Entertainment
Advanced Cybersecurity
Automated Business Process
AI Trends”
“2020
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