This document provides an overview and introduction to artificial intelligence. It outlines the objectives, components, key statistics, reasons for using AI, adoption of emerging technologies survey results, AI investment by sector, and various sectors where AI can be applied. It also discusses the driving forces behind AI maturity, core areas of AI, the AI value chain elements, development phases, themes, and approaches including logic/rules-based and machine learning. Specific areas like healthcare use cases, challenges to adoption, and illustrative AI solutions are also covered at a high level.

1. AI
Your Company Name

2. Artificial Intelligence Outline
2
Artificial Intelligence Introduction01
Artificial Intelligence Objectives02
Artificial Intelligence components03
Artificial Intelligence Key Statistics04
Reasons for using artificial intelligence05
Survey on Adoption of Emerging Technologies06
Artificial Intelligence & Investment by sector07
Artificial Intelligence in various sectors08
Driving Force behind Artificial Intelligence Maturity09
Core Areas of Artificial Intelligence10
Artificial Intelligence Value Chain Elements11
Artificial Intelligence Development Phases12
Artificial Intelligence Themes13
Artificial Intelligence Approaches
• Logic & Rules-Based Approach
• Machine Learning (pattern based)
14
Machine Learning Description15
Machine Learning Process16
Machine Learning Use cases17
Artificial narrow Intelligence Vs
Artificial General Intelligence
18
Potential Use cases of AI in Healthcare19
Challenges in adoption of Artificial Intelligence20

3. Artificial Intelligence Introduction
3
Illustrative Solutions
Recommendation Systems
Virtual Agents
Identity Analytics
Cognitive Robotics
Speech Analytics
Data Visualization
AI Technologies
Natural Language Processing
Knowledge Representation
Machine Learning
Expert Systems
Computer Vision
Audio Processing
Comprehend
Act
Sense
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4. Artificial
Intelligence
Objectives
4
use an integrated smart digital system
that can overcome challenges and
provide quick efficient solutions
boost organizational performance
at all levels
achieve the objectives of Company
XX by 2020
make Company XX the first in the field
of AI investments in various sectors
Add your text here
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5. Artificial Intelligence Components Template 1
5
01
Strategy
• Aligning with
strategic goals
• Text Here
02
Design
• Software design is
transparent & auditable
• Text Here
03
Development
• Iterative development
• Managing
data dependency
• Text Here
04
Operating Model
• Data as your key
intellectual property
• Text here
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6. Artificial Intelligence Components Template 2
6
Data
Pay Per Click
Search Console Data
Customer Service Transcripts
Social Feedback
Technology
AI Analytical Engine
Interface for Data Upload
Text Here
Text Here
Strategy
Select Optimal AI Engine
Instruct AI Engine
Create a Training Strategy
Text Here
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7. Artificial Intelligence Key Statistics
7
65%
Two- third of senior decision- makers agree that AI is
fundamental to the success of their organization’s strategy
Seven in 10 organizations that have replaced, or plan to replace, roles
with technology will retain or redeploy those who are displaced
69%
By 2022, those currently or planning to use AI technology anticipate a
39% boost to their organization’s revenue, on average
45%
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8. Reasons for Using Artificial Intelligence
8
Automation that eliminates
manual and repetitive tasks
Monitoring and alerts about
the health of the business
Automated communications that give firms
data they can use to make effective
business decisions
Automated data-driven reporting
All of the above
Other
Automated communications that
give consumers data they can use to
make effective decisions
7%
14%
9%
15%
10%
5%
40%
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9. Survey on Adoption of Emerging Technologies
9
3%
6%
8%
10%
12%
15%
25%
28%
35%
Drones/UAVs
Wearables
Autonomous Vehicles
3D Printing
Robotics/Autonomous Robots
AR/VR
Blockchain
Aritificial Intellgence
IOT/ Smart Sensors
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10. Artificial Intelligence &
Investment by Sector
10
Travel & Tourism
Construction
Education
Automotive & Assembly
Transportation & Logistics
Financial Services
Media & Entertainment
Energy & Resources
Professional Services
Healthcare
Retail
Consumer packed Goods
High tech & Telecommunication
0
2
4
6
8
10
12
14
0 5 10 15 20 25 30
Leading
Sectors
Falling
Behind
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11. Artificial Intelligence in Various Sectors
11
To reduce accidents and cut
operational costs
Transport
To increase productivity and
help with general spending
Technology
To minimize chronic and
dangerous diseases
Health
To increase
forestation rate
Environment
To conduct analysis and studies
to provide water sources
Water
To reduce accidents & traffic jams &
draw more effective traffic policies
Traffic
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12. Driving Force
Behind Artificial
Intelligence Maturity
12
6%
8%
10%
12%
15%
25%
30%
Offshoot of
Another Project
Unexpected
Solution to
Problem
Customer
Demands
Internal
Experiment
Particular
Business,
Operational or
Technical Problem
Executive-led
Decision
Competitor
Advantage
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13. Core Areas of Artificial Intelligence
13
Sensory AI such as Internet of Things
Physical AI like Industrial Automation
Cognitive AI such as Worker Training
General AI
High Precision Learning from Small Data Sets,
Research on New Algorithms
Explainable AI
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14. Artificial Intelligence Value Chain Elements
14
Value Chain Elements
Data Capture Cleansing of Raw
Data
Curation, Labelling &
Standardization
Annotation of Raw
Data for ML Models
Testing of Model on
New Data
Deployment of Solution
on Computational
Infrastructure
Training of ML Model with
Annotated Data with
Computational Resources
Creation of ML Model for
Use Case
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15. Artificial Intelligence Development Phases
15
• Utilization & application of data-driven
artificial intelligence developed in
various domains
• Utilization of AI will increase together
with new possibilities of growth in
related service industry
By Q1 FY19
Phase 1
• Public use of Artificial Intelligence
across various domains
• Your text here
By Q3 FY20
Phase 2
• Ecosystem is built by
connecting various domains
• Your text here
By Q1 FY21
Phase 3
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16. Artificial
Intelligence Themes
16
Formation of The Artificial
Intelligence Department
Workshops, programmes, initiatives
and field visits
Develop capabilities and skills of all staff
operating in the field of technology and
organise training courses
Provide all services via
Artificial Intelligence
Integration of AI into
different departments
Add your text here
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17. Artificial Intelligence Approaches
17
Machine Learning
(Pattern Based Approach)
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Logic & Rules-
Based Approach
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Artificial
Intelligence

18. Logic & Rules-Based Approach
18
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Representing
process or system
using logical rules
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Top-Down rules
are created
for computer
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Computer reason
about these rules
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Can be used to
automate process
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E.g. Personal
income tax laws

19. Machine Learning (pattern based)
19
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Learn from data &
improve overtime
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These patterns can be used
for automation or prediction
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Machine learning is a
dominant form of AI today

20. Machine Learning Description
20
MACHINE LEARNING
Algorithms + Techniques
Relationships Patterns
Dependencies Hidden Structures
INPUT DATA
Information (+ Answers)
OUTPUT
optimum Model
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21. Machine Learning Process
21
STEP 02
Cleaning data to have
homogeneity
STEP 01
Gathering data from
various sources
STEP 03
Model Building-Selecting the
right ML algorithm
STEP 04
Gaining insights from
the model’s results
STEP 05
Data Visualization-Transforming
results into visuals graphs
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22. Machine Learning Main Points
22
Learning
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Self-Programming
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Pattern Detection
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Data
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23. Machine Learning Use Cases
23
Travel & Hospitality
• Aircraft scheduling
• Dynamic pricing
• Your text here
• Traffic patterns & congestion
management
Manufacturing
• Predictive maintenance or
condition monitoring
• Demand forecasting
• Process optimization
• Telematics
Energy, Feedstock & Utilities
• Power usage analytics
• Seismic data processing
• Smart grid management
• Energy demand & supply optimization
Healthcare & Life Sciences
• Alerts & diagnostics from real-time
patient data
• Your text here
• Proactive health management
• Healthcare provider sentiment analysis
Financial Services
• Risk analytics & regulation
• Customer segmentation
• Your text here
• Credit worthiness evaluation
Retail
• Predictive inventory planning
• Recommendation engines
• Your text here
• Customer ROI & lifetime value
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24. Artificial Narrow Intelligence Vs Artificial General Intelligence
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Artificial
Narrow Intelligence
Artificial
General Intelligence
Understand Abstract Concepts
Explain Why
Be Creative Like Children
Tell Right From Wrong
Have Emotions
Beat Go World Champions
Read Facial Expressions
Write Music
Diagnose Mental Disorders
Comfort Earthquake Survivors

25. Potential Use Cases of AI in Healthcare
25
Training
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Research
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End of Life Care
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Treatment
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Keeping Well
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Early Detection
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Diagnosis
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Decision Making
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Al &
Robotics

26. Challenges in adoption of Artificial Intelligence
26
Lack of enabling data ecosystem
Low Intensity of AI research
Inadequate availability of expertise, technology
& research
Unclear privacy, security and
ethical regulations
High resource cost and low awareness for
adopting AI in business processes
Unattractive Intellectual Property regime to
incentivize research and adoption of AI
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27. Let’s Have a
Coffee Break!
27
11:00 To 11:15
Let’s Start again in 15 Minutes

28. 28
Additional
Slides

29. AI Icons Slide
29

30. Our Mission
30
Our Goal
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Our Vision
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Our Mission
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31. Meet Our Awesome Team
31
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Name Here
Designation
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Name Here
Designation
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Name Here
Designation

32. About Us
32
Target Audience
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We are Creative
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Value Clients
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Preferred by Many
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33. Comparison
33
V/S
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Lowest Shopping Rating Highest Shopping Rating
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20%
40%
35%
85%

34. Financial
34
45% 55% 80%
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Euro
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Pound
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Dollar

35. Idea Generation
35
Text Here
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36. Thank You
36
# street number, city, state
Address
0123456789
Contact Number
www.abc.com
Website
emailaddress123@gmail.com
Email Address