This document provides an outline for a presentation on artificial intelligence (AI). It includes sections on AI objectives, components, key statistics, reasons for using AI, adoption of emerging technologies, investment in AI by sector, uses of AI in various sectors, drivers of AI maturity, core areas of AI, the AI value chain, development phases of AI, themes in AI, approaches to AI including logic/rules-based and machine learning, a description of machine learning, the machine learning process, machine learning use cases, narrow vs general AI, potential uses of AI in healthcare, challenges to adopting AI, and business analytics icons. Sample slides are provided under many of the sections.

1. Business
Analytics
Your Company Name

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Agenda
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Agenda
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Agenda
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Agenda
Agenda
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3. 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
Artificial Intelligence Value Chain Elements
Artificial Intelligence Development Phases
Artificial Intelligence Themes
Artificial Intelligence Approaches
✓ Logic & Rules-based Approach
✓ 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
Artificial
Intelligence outline
3

4. Artificial Intelligence Introduction
Illustrative
Solutions
Virtual Agents
Identity Analytics
Cognitive Robotics
Speech Analytics
Recommendation
Systems
Data Visualization
AI
Technologies
Act
Machine Learning
Expert Systems
Sense
Computer Vision
Audio Processing
Comprehend
Natural Language
Processing
Knowledge
Representation
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5. 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
Text here
Text here
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6. Artificiel Intelligence Components Template 1
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Strategy
✓ Aligning with strategic goals
✓ Text here
operating Model
✓ Data as your key intellectual property
✓ Text here
Development
✓ Iterative development
✓ Managing data dependency
Design
✓ Software design is transparent & auditable
✓ Text here
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7. Artificiel Intelligence
Components
Template 2
7
✓ Pay per Click
✓ Search console data
✓ Customer service
Transcripts
✓ Social feedback
Data
Technology ✓ AI Analytical Engine
✓ Interface for data upload
✓ Select optimal AI Engine
✓ Instruct AI Engine
✓ Create a training strategy
Strategy
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8. Artificial
Intelligence Key
Statistics
8
55%
By 2022, those currently or planning to use
AI technology anticipate a 39% boost to their
organization’s revenue, on average
70%
Two- third of senior decision- makers
agree that AI is fundamental to the success of
their organization’s strategy
60%
7 in 10 organizations that have replaced, or
plan to replace, roles with technology will retain
or redeploy those who are displaced

9. Reasons for using Artificial Intelligence
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Automated Data- Driven Reporting
Automation That Eliminates Manual
And Repetitive Tasks
Automated Communications That
Give Consumers Data They Can Use
To Effective Decisions
Monitoring And Alerts About The
Health Of The Business
Automated Communications That Give Firms Data They
Can Use To Make Effective Business Decisions
Other
All Of The Above Automated
Data-driven Reporting
44%
6%
20%
5% 7%
11%
7%

10. Survey on Adoption of Emerging Technologies
10
25%
30%
35%
35%
40%
42%
44%
58%
65%
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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11. Artificial Intelligence & Investment by Sector
11
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
Transport
To reduce accidents and
cut operational costs
Technology
To increase
productivity and help
with general spending
Health
To minimize chronic and
dangerous diseases
Environment
To increase
forestation rate
Water
To conduct analysis
and studies to provide
water sources
Traffic
To reduce accidents and
cut operational costs
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13. Driving Force behind Artificial Intelligence Maturity
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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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14. 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
Core Areas of
Artificial
Intelligence
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15. Artificiel Intelligence Value Chain Eléments
15
Data Capture
Cleansing of
raw data
Curation, Labelling
& Standardization
Annotation of raw data
for ML models
Creation of ML
model for use case
Testing of model
on new data
Deployment of
solution on
computational
infrastructure
Training of ML model
with annotated data with
computational resources
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16. ✓ 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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Artificial Intelligence
Development Phases
16

17. Artificial
Intelligence Themes
17
Formation of the artificial
intelligence department
Workshops, programs,
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
Integration of AI into different
departments
Text here

18. Artificial Intelligence
Approaches
18
Artificial
intelligence
Logic & Rules-Based Approach
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Machine Learning
(Pattern Based Approach)
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19. Logic & Rules-Based Approach
Representing process or
system using logical rules
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Top-Down rules are
created for computer
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Computers reason
about these rules
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Can be used to
automate process
E.g. Personal Income
tax laws
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20. Machine Learning (Pattern based)
Machine learning is a dominant form of AI today
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Learn from data &
improve overtime
01
Your
Text here
02
These patterns can be
used for automation or
prediction
03
Your
Text here
04
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21. Machine Learning Description
21
Algorithms + Techniques
Relationships Patterns
Dependencies Hidden Structures
INPUT DATA
Information (+ Answers)
OUTPUT
optimum Model
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22. Machine Learning Process
Gathering data from
various sources
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Step 1
Cleaning data to
have homogeneity
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Step 2
Model Building-
Selecting the right
ML algorithm
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Step 3
Gaining insights from
the model’s results
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Step 4
Data Visualization-
Transforming results into
visuals graphs
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Step 5
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23. 23
Machine Learning
Main Points
Learning
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Data
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Pattern Detection
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Self-Programming
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24. Energy, Feedstock & Utilities
✓ Power usage analytics
✓ Seismic data processing
✓ Smart grid management
✓ Energy demand & supply optimization
Financial Services
✓ Risk analytics & regulation
✓ Customer segmentation
✓ Your text here
✓ Credit worthiness evaluation
Travel & Hospitality
✓ Aircraft scheduling
✓ Dynamic pricing
✓ Your text here
✓ Traffic patterns & congestion
management
Manufacturing
✓ Predictive maintenance or condition
monitoring
✓ 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
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Machine Learning
Use Cases
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25. Artificial Narrow Intelligence Vs Artificial General Intelligence
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Beat Go World Champions
Write Music
Diagnose Mental Disorders
Comfort Earthquake Survivors
Read Facial Expressions
Understand Abstract Concepts
Explain Why
Be Creative Like Children
Tell Right From Wrong
Have Emotions
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Artificial Narrow Intelligence Artificial General Intelligence

26. Potential Use cases of AI in Healthcare
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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27. Challenges In
Adoption of Artificial
Intelligence
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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

28. Business Analytics Icons Slide
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29. Additional Slides
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30. Our
Mission
30
Vision
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Mission
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Goal
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31. About us
31
Target Audiences
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Preferred by Many
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Values Clients
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32. Meet our
Team
32
John Albert
Financial Advisor
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Sam White
Web Designer
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Victoria Smith
Manager
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Our Target
33

34. Comparison
Male user
72% 49%
Female user
90% 54%
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2016
2015
20182017 2019
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Timeline
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36. Address
# street number, city, state
Contact Numbers
0123456789
Email Address
emailaddress@123gmail.com
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Thank You