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1. Increasing Role of
Machine Intelligence
YO U R C O M PA N Y N A M E

2. Artificial Intelligence Outline
Artificial Intelligence Introduction
Artificial Intelligence Objectives
Artificial Intelligence Components
Artificial Intelligence Key Statistics
Reasons for using Artificial Intelligence
Survey on Adoption of Emerging Technologies
Artificial Intelligence & Investment by sector
Artificial Intelligence in various sectors
Driving Force behind Artificial Intelligence Maturity
Core Areas of Artificial Intelligence
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02
03
04
05
06
07
08
09
10
Artificial Intelligence Value Chain Elements
Artificial Intelligence Development Phases
Artificial Intelligence Themes
Artificial Intelligence Approaches
o Logic & Rules-Based Approach
o Machine Learning (pattern based)
Machine Learning Description
Machine Learning Process
Machine Learning Use cases
Artificial narrow Intelligence vs Artificial
General Intelligence
Potential Use cases of AI in Healthcare
Challenges in adoption of Artificial Intelligence
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2

3. Artificial Intelligence Introduction
3
AI
Technologies
Illustrative
Solutions
Virtual
Agents
Identity
Analytics
Cognitive
Robotics
Speech
Analytics
Recommendation
Systems
Data
Visualization
Computer
Vision
Audio
Processing
Natural Language
Processing
Knowledge
Representation
Machine
Learning
Expert
Systems
Sense Comprehend Act
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4. Artificial Intelligence Objectives
Achieve the objectives of company XX by 2020
Boost Organizational Performance at all levels
Use an integrated smart digital system that can overcome
challenges and provide quick efficient solutions
Make company XX the first in the field of AI investments
in various sectors
Add your text here
Add your text here
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5. Artificiel Intelligence Components Template 1
o Aligning with
strategic goals
o Add text here
o Software design is
transparent & auditable
o Add text here
o Iterative Development
o Managing data dependency
o Add text here
o Data as your key
intellectual property
o Add text here
Strategy Design Development Operating Model
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6. Artificiel Intelligence Components Template 2
o Pay per Click
o Search console data
o Customer service Transcripts
o Social feedback
o AI Analytical Engine
o Interface for data upload
o Select optimal AI Engine
o Instruct AI Engine
o Create a training strategy
Data Technology Strategy
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7. Artificial Intelligence Key Statistics
7
Two- third of senior decision- makers agree that
AI is fundamental to the success of their
organization’s strategy
By 2022, those currently or planning to use AI
technology anticipate a 39% boost to their
organization’s revenue, on average
7 in 10 organizations that have replaced, or plan
to replace, roles with technology will retain or
redeploy those who are displaced
65%
45%
69%
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8. Reasons for Using Artificial Intelligence
8
Automation that eliminates manual and
repetitive tasks
Automated Communications that give consumers
data they can use to effective decisions
Automated data- driven reporting
Automated data- driven reporting
Other,
All of the above Automated data-
driven reporting
Monitoring and alerts about the health of
the business
45%
5%
18%
6.60% 7.60%
12.80%
5%
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9. Survey on Adoption of Emerging Technologies
9
20%
25%
30%
32%
35%
38%
42%
55%
63%
0 10 20 30 40 50 60 70
Artificial Intelligence
Blockchain
ARVR
Robotics/
Autonomous Robots
3D Printing
Wearables
Text here
IOT/ Smart Sensors
Autonomous Vehicles
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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
Falling Behind
Leading Sectors
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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
5%
7%
9%
13%
18%
22%
26%
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
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02
03
04
05
06
07
01
General AI
High precision learning
from small data sets
Cognitive AI such as
worker training
Research on new
algorithms
Sensory AI such as
Internet of Things
Physical AI like
Industrial Automation
Explainable AI
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14. Artificial Intelligence Value Chain Elements
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Data
Capture
Curation, Labelling &
Standardization
Creation of ML model
for use case
Testing of model
on new data
Cleansing of
raw data
Annotation of raw data
for ML models
Training of ML model with
annotated data with
computational resources
Deployment of solution
on computational
infrastructure
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15. Artificial Intelligence Development Phases
15
Phase 3
o Ecosystem is built by
connecting various domains
o Your text here
By Q1
FY21
Phase 2
o Public use of Artificial
Intelligence across
o various domains
o Your text here
By Q3
FY20
Phase 1
o Utilization & application of
data-driven artificial
intelligence developed in
various domains
o Utilization of AI will increase
together with new
possibilities of growth in
related service industry
By Q1
FY19
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16. Artificial Intelligence Themes
Add your text here
Integration of AI into different departments
Provide all services via Artificial Intelligence
Develop capabilities and skills of all staff operating in the field
of technology and organize training
Workshops, programmes, initiatives and field visits
Formation of the Artificial Intelligence Department
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17. Artificial Intelligence Approaches
17
Artificial Intelligence
Logic & Rules-
Based Approach
Machine Learning
(Pattern Based
Approach)
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18. Logic & Rules-Based Approach
18
Representing
process or system
using logical rules
Top-Down rules are
created for computer
Computers reason
about these rules
Can be used to
automate process
E.g. Personal
Income tax laws
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19. Machine Learning (Pattern Based)
19
Machine learning is a dominant form of AI today
Learn from data &
improve overtime
These patterns can be used
for automation or prediction
Your text here Your text here
01 02 03 04
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20. Machine Learning Description
20
Algorithms + Techniques
Relationships Patterns
Dependencies
Hidden
Structures
Machine Learning
OUTPUT
Optimum Model
INPUT DATA
Information (+ Answers)
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21. Machine Learning Process
21
STEP 1
Gathering data
from various
sources
STEP 2
Cleaning data to
have homogeneity
STEP 3
Model Building-
Selecting the right
ML algorithm
STEP 4
Gaining insights
from the
model’s results
STEP 5
Data Visualization-
Transforming results
into visuals graphs
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22. Machine Learning Main Points
22
Data
Pattern Detection
Learning
Self-Programming
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23. Machine Learning Use Cases
23
Manufacturing
o Predictive maintenance or condition monitoring
o Your text here
o Demand forecasting
o Process optimization
o Telematics
Retail
o Predictive inventory planning
o Recommendation engines
o Your text here
o Customer ROI & lifetime value
Healthcare & Life Sciences
o Alerts & diagnostics from real-time patient data
o Your text here
o Proactive health management
o Healthcare provider sentiment analysis
Travel & Hospitality
o Aircraft scheduling
o Dynamic pricing
o Your text here
o Traffic patterns & congestion management
Financial Services
o Risk analytics & regulation
o Customer segmentation
o Your text here
o Credit worthiness evaluation
Energy, Feedstock & Utilities
o Power usage analytics
o Seismic data processing
o Your text here
o Smart grid management
o Energy demand & supply optimization
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24. Artificial Narrow Intelligence Vs Artificial General Intelligence
24
Read Facial Expressions
Write Music
Beat Go World Champions
Diagnose Mental Disorders
Comfort Earthquake Survivors
Artificial Narrow Intelligence Artificial General Intelligence
Understand Abstract Concepts
Explain Why
Be Creative Like Children
Tell Right From Wrong
Have Emotions
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25. Potential Use Cases of AI in Healthcare
25
Decision Making
Diagnosis
Early Detection
Keeping Well
Training
Research
End of Life Care
Treatment
AI & ROBOTICS
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26. Challenges in Adoption of Artificial Intelligence
Lack of enabling data ecosystem
Low Intensity of AI research
Inadequate availability of expertise, technology & research
High resource cost & low awareness for adopting AI in
business processes
Unclear privacy, security and ethical regulations
Unattractive Intellectual Property regime to incentivize research
& adoption of AI
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27. Increasing Role of Machine Intelligence Icons Slide
27

28. Let’s have a
Coffee Break!
We will be back in 15 minutes
12
03
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29. Additional Slides
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30. Our Mission
Goal
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Mission
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Vision
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30

31. Our Team
Name Here
Designation
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it to your needs and capture your
audience's attention.
Name Here
Designation
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Name Here
Designation
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32. About Us
Value Clients
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capture your audience's attention.
Target Audiences
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capture your audience's attention.
Preferred by Many
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33. Comparison
33
VS
65%
Facebook user
85%
Facebook user
In 2020
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In 2020
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34. Timeline Process
34
2020
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2019
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2018
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2017
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