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1. Technology-
Driven Process
Your Company Name

2. Agenda
2
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Agenda

3. 3
Artificial Intelligence Outline
1. Artificial Intelligence Introduction
2. Artificial Intelligence Objectives
3. Artificial Intelligence Components
4. Artificial Intelligence Key Statistics
5. Reasons For Using Artificial Intelligence
6. Survey on Adoption of Emerging Technologies
7. Artificial Intelligence & Investment by Sector
8. Artificial Intelligence In Various Sectors
9. Driving Force Behind Artificial Intelligence Maturity
10. Core Areas of Artificial Intelligence
11. Artificial Intelligence Value Chain Elements
12. Artificial Intelligence Development Phases
13. Artificial Intelligence Themes
14. Artificial Intelligence Approaches
Logic & Rules-based Approach
Machine Learning (Pattern Based)
15. Machine Learning Description
16. Machine Learning Process
17. Machine Learning Use Cases
18. Artificial Narrow Intelligence Vs Artificial General Intelligence
19. Potential Use Cases of AI In Healthcare
20. Challenges In Adoption of Artificial Intelligence

4. 4
Artificial Intelligence Introduction
Computer
Vision
Audio
Processing
Natural Language
Processing
Knowledge
Representation
Machine
Learning
Expert
Systems
AI
Technologies
Illustrative
Solutions
Virtual
Agents
Identity
Analytics
Cognitive
Robotics
Speech
Analytics
Recommendation
Systems
Data
Visualization
Sense Comprehend Act
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5. Artificial Intelligence Objectives
5
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

6. 6
Artificiel Intelligence Components Template 1
Strategy
▪ Aligning with
strategic goals
▪ Add text here
Design
▪ Software design is
transparent & auditable
▪ Add text here
Development
▪ Iterative Development
▪ Managing data dependency
▪ Add text here
Operating Model
▪ Data as your key
intellectual property
▪ Add text here
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7. Artificiel Intelligence Components Template 2
7
Data
▪ Pay per Click
▪ Search console data
▪ Customer service Transcripts
▪ Social feedback
Technology
▪ AI Analytical Engine
▪ Interface for data upload
Strategy
▪ Select optimal AI Engine
▪ Instruct AI Engine
▪ Create a training strategy
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8. 8
Artificial Intelligence Key Statistics
This graph/chart is linked to excel, and changes automatically based on data. Just left click on it and select “Edit Data”.
7 in 10 organizations that
have replaced, or plan to
replace, roles with technology
will retain or redeploy those
who are displaced
By 2022, those currently or
planning to use AI
technology anticipate a 39%
boost to their organization’s
revenue, on average
Two- third of senior
decision- makers agree that
AI is fundamental to the
success of their
organization’s strategy
65% 45% 69%

9. 9
Reasons for using Artificial Intelligence
Automated communications that give firms
data they can use to make effective business
decisions
Other
All of the above Automated data-
driven reporting
Monitoring and alerts about the health of the
business ,
Automation that eliminates manual and
repetitive tasks
Automated Communications that give
consumers data they can use to effective
decisions
Automated data- driven reporting
45%
5%
6.6%
5%
7.6%
18% 12.8%
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10. 10
Survey on Adoption of Emerging Technologies
20
25
30
32
35
38
42
55
63
0 10 20 30 40 50 60 70
Text here
Wearables
Autonomous Vehicles
3D Printing
Robotics/Autonomous Robots
ARVR
Blockchain
Aritificial Intellgence
IOT/ Smart Sensors
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11. 11
Artificial Intelligence & Investment by Sector
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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12. 12
Artificial Intelligence in various Sectors
Artificial
Intelligence
To reduce accidents and cut
operational costs
Transport
Health
To minimize chronic and
dangerous diseases
Water
To conduct analysis and studies to
provide water sources
To reduce accidents & traffic jams & draw
more effective traffic policies
Traffic
To increase forestation rate
Environment
To increase productivity and help
with general spending
Technology
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13. 13
Driving Force behind Artificial Intelligence Maturity
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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14. Core Areas of Artificial Intelligence
Physical AI like
Industrial Automation
Cognitive AI such as
worker training
General AI
Research on new
algorithms
High precision learning
from small data sets
Sensory AI such as
Internet of Things
Explainable AI
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14

15. 15
Artificial Intelligence Value Chain Elements
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
Deployment of solution
on computational
infrastructure
Training of ML model with
annotated data with
computational resources
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16. 16
Artificial Intelligence Development Phases
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▪ 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

17. Artificial Intelligence Themes
17
Integration of AI into
different departments
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 organize training
Provide all services via
Artificial Intelligence
Add Your Text Here

18. 18
Let’s Have a
Coffee Break!
Let’s Start again in 30 Minutes

19. Artificial Intelligence Approaches
19
ARTIFICIAL
INTELLIGENCE
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20. 20
Logic & Rules-Based Approach
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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21. 21
Machine Learning (Pattern based)
Learn from data
& improve
overtime
Your Text
Here
These patterns
can be used for
automation or
prediction
Your Text
Here
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Machine learning is a dominant form of AI today

22. Machine Learning Description
22
MACHINE LEARNING
Relationships Patterns
Dependencies
Hidden
Structures
Algorithms + Techniques
INPUT DATA
Information
(+ Answers)
OUTPUT
Optimum
Model
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23. 23
Machine Learning Process
Gathering data
from various
sources
STEP 1
Cleaning data
to have
homogeneity
STEP 2
Model Building-
Selecting the right
ML algorithm
STEP 3
Gaining insights
from the
model’s results
STEP 4
Data
Visualization-
Transforming
results into
visuals graphs
STEP 5
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24. Machine Learning Main Points
24
Learning
Self-Programming
Data
Pattern Detection
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25. 25
Machine Learning Use Cases
Manufacturing
▪ Predictive maintenance or condition
monitoring
▪ Your text here
▪ Demand forecasting
▪ Process optimization
▪ Telematics
Retail
▪ Predictive inventory planning
▪ Recommendation engines
▪ Your text here
▪ Customer ROI & lifetime value
Healthcare & Life Sciences
▪ Alerts & diagnostics from real-time
patient data
▪ Your text here
▪ Proactive health management
▪ Healthcare provider sentiment
analysis
Travel & Hospitality
▪ Aircraft scheduling
▪ Dynamic pricing
▪ Your text here
▪ Traffic patterns & congestion
management
Financial Services
▪ Risk analytics & regulation
▪ Customer segmentation
▪ Your text here
▪ Credit worthiness evaluation
Energy, Feedstock &
Utilities
▪ Power usage analytics
▪ Seismic data processing
▪ Your text here
▪ Smart grid management
▪ Energy demand & supply
optimization
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26. 26
Artificial Narrow Intelligence Vs Artificial General Intelligence
VS
Artificial Narrow Intelligence Artificial General Intelligence
Beat Go World Champions
Read Facial Expressions
Write Music
Diagnose Mental Disorders
Comfort Earthquake Survivors
Understand Abstract Concepts
Explain Why
Be Creative Like Children
Tell Right From Wrong
Have Emotions
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27. Potential Use cases of AI in Healthcare
27
AI &
ROBOTICS
Keeping Well
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Early Detection
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Diagnosis
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Decision Making
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Training
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Research
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End of Life Care
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Treatment
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28. Challenges in adoption of Artificial Intelligence
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
Lack of enabling data
ecosystem
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28

29. 29
Technology-Driven Process for Icons Slide

30. 30
Additional
Slides

31. 31
Vision
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Mission
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Goal
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Our Mission

32. Our Team Members
32
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Mary Parker
CEO & Founder
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Robin Clark
Designer
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Jess Leo
Finance Manager
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Peter Tucker
Accountant

33. 33
Time Line
2019
25 Jan
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12 Mar
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23 Aug
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10 Jun
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34. 34
Location
Men
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Women
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your audience's attention.
Australia
70 Million User
Russia
35 Million User
USA
15 Million User
Brazil
50 Million User

35. 35
Financial
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Maximum
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Medium
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Minimum
30% 40% 45%

36. 36
Important Notes
01
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02
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04
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03
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37. 37
Puzzle
01
04
03 02
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38. 38
Idea
Generation
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39. 39
Address
# street number, city, state
Contact Numbers
0123456789
Email Address
emailaddress123@gmail.com
Thank You