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AI FOR
BUSINESS
LEADERS
WHAT MATTERS IN
ARTIFICIAL INTELLIGENCE SERIES
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EDUCATIONAL CONTENT
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What matters in AI Series
For executives & business leaders needing to understand the macro and strategic trends in artificial intelligence, its
opportunities and impact from a non-technical perspective.
WHAT MATTERS IN AI SERIES
AI For
Business
Leaders
1
Utility of AI.
Unleashing new
value across
industries
2
Meet
Generative AI
3
Intelligent
Automation
(IA)
5
Monetisation
of AI
6
Essentials to build
solutions with AI
Capabilities
7
Stakeholder
Engagement in
AI Work
8
Risk
Management in
AI Work
9
The Future
of
Productivity
4
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 Review AI as a priority for value generation
 Explore ongoing experimentation
 Touch on how businesses are monetising AI
 Understand the intent of adoption by industries
 Discuss on the state of customer trust in AI
TODAY’S AGENDA
AI FOR BUSINESS LEADERS
An introduction to the world of artificial intelligence. Explore at a high-level ongoing business
experiments in creating new value.
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ARTIFICIAL INTELLIGENCE
It loves to
make you look
good
It’s software
trying to act
smart
It’s easier to
use than you
think
It’s changing
everything
It’s infiltrating
our lives faster
than you think
It’s here to
stay
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44 31 81 27 50 62 57 54
31 37 17 43 30 46 35 35
7 21 20 15 14 10 16 15
24 11 5 15 7 14 18 12
27 12 4 19 14 1 12 11
8 8 4 9 2 12 12 8
17 10 2 8 11 11 5 8
2 7 5 9 12 1 5 5
7 4 6 10 2 6 4 5
TOP POSITION AS REQUIRED TECHNOLOGY TO DELIVER THE VALUE
PROPOSITION OF NEW BUSINESS IN THE NEXT 5 YEARS
Augmented reality /
Virtual reality
Physical robotics
Metaverse
3-D Printing
Quantum Computing
Other
Artificial Intelligence /
Machine Learning
Internet of Things
Blockchain
Advanced
Industries
Consumer Goods
and Retail
Financial Services
Energy and
Materials
Healthcare, Pharma
and medical
products
Travel, Logistics
and Infrastructure
All
Technology, Media
and Telecom
Source: McKinsey, “New-business building in 2022”
Legend
(Share of respondents)
• 0 – 9
• 10 – 19
• 20 – 29
• 30 – 49
• 50 – 90
NOTES:
• Respondents could
select only two replies
• Respondents
composed of 995 C-
Suite executives, senior
managers, business
unit leaders and
division heads
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EVER EXPERIENCED ARTIFICIAL INTELLIGENCE (AI)?
 Traffic Control
 Automated Vehicle Assistance (Break/Speed control)
 Personalised Product recommendations
 On-Demand Language Translation
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 Automated Identification & Access Control (e.g.. passports)
 Robotic Surveillance  Identify suspicious activity
 Customer service personalisation
 Theft detection and faster, personalised checkouts
ENHANCING CAPABILITIES…
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 Smart Home Automation
> Robotic vacuum cleaners
> Robotic Mops
> Robotic Window Cleaners
> Robotic Pool Cleaners
> Robotic Grass Cutting
> Climate control
> Lighting
> Entertainment
 Health
> Lifestyle promotion
> Issue prevention
SIMPLIFYING LIVES…
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 Entertainment
 Sharing Experiences & Creations
 Smart Assistance & Home Automation
CRITICAL CAPABILITY TO EVERYDAY PRODUCTS
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ACTIVELY
EXPERIMENTING
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EMULATING, REPLICATING AND ENHANCING HUMAN FUNCTIONS
ARTIFICIAL INTELLIGENCE IS ALL ABOUT….
Digital capability to imitate or reproduce
human tasks such as perceiving,
learning, reasoning and solving
problems.
Use technology and automation to deal
with complex data which is near to
impossible to handle by a human being.
Critical for delivering user-centric
experiences that delight and improve
customer satisfaction
Automates redundant jobs, allowing
your work force to focus on what
matters and has impact such as the
high level, strategic, value-adding tasks.
Connect disparate data to get a more
unified picture of situations and context
Maximise the use of your data, assets
and resources to drive better
operational workflows, processes and
financial operations
When implemented at scale, it leads to
cost reduction and revenue increase.
Enables
Technology
Drives economies-of-
scale
Automates
Inspiration: Bernardmarr.com
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IMPACTING ALL FACETS OF OUR LIFE…
Data Pattern
Matching
Intelligent
Contact Centre
Factories &
Production
Security
Language &
Translations
Self-Driving
Cars
Automatic
generation of
video Subtitles
Smart
Assistance
Speech
Audio Effects
Video Effects
Micro-Surgery
Personalise
Customer
Experiences
Intelligent
Document
Processing
Increase
Productivity
Intelligent
Search and
Reply
Fraud
Detection
Scale Up
Innovation
Speed up
Production
Optimise
Business
Processes
Smart Sensors
& IoT
“Who liked this
also bought
this…”
Social Media
Engagement
Faster, Better,
Business
Intelligence
Analysis &
Insights
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BECOMING A SUPPORT NETWORK FOR PEOPLE
Improves
Connectivity
Completing Critical Activities
Enhancing Well-being &
Health-oriented strategies
Replacing clunky surveys
and boardroom
conversations
Quicker to achieve data
heavy tasks
Provides Managers with
personalised feedback
Helps Track organisational
performance in real-time
Promotes Productivity &
Automation Mindset
Enable Personalised and
simpler Customer
Experiences
Provides better
Recommendations
Optimises
Pricing Analysis
Maximises Lead
Generation
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WHEN USED…APLIED TO…..
11%
11%
16%
18%
18%
20%
20%
23%
24%
25%
25%
30%
33%
33%
34%
39%
Tansformers
Generative adversarial networks (GAN)
Transfer learning
Natural-language generation
Facial Recognition
Reinforcement learning
Physical robots
Natural-language speech understanding
Digital twins
Recommender systems
Knowledge graphs
Deep learning
Virtual agents or conversational interfaces
Natural-language text understanding
Computer vision
Robotic process automation (RPA)
% responses indicating AI embedded into at least 1 product/business function
Source: McKinsey & Company (respondents who said their organisation have adapted AI in at least 1 function)
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TOP-10 REVENUE GENERATING USE CASES
8.98
7.64
7.26
6.39
6.00
5.71
5.38
5.37
5.30
5.11
Machine/vehicular object detection/identification/avoidance
Static image recognition, classification, and tagging
Patient data processing
Algorithmic trading strategy performance improvement
Localization and mapping (Geophysical feature detection)
Predictive maintenance
Prevention against cybersecurity threats
Converting paperwork into digital data (e.g. Contract analysis)
Intelligent recruitment and HR systems
Medical image analysis and scalable processing of patient data
CUMULATIVE REVENUE IN BILLIONS (USD)
Source: Statista, Artificial Intelligence, Market Forecasts
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0
100
200
300
400
500
600
700
20% 30% 40% 50% 60%
AI
Impact
in
$
Billion
Share of AI impact in total impact derived from analytics, %
POTENTIAL TO CREATE VALUE ACROSS SECTORS
Transport and
logistics
Travel
Retail
Healthcare
systems and
services
Consumer and
packaged goods
Public and social
sectors
Advanced electronics
/ semiconductors
Automotive and
assembly
Insurance
Banking
Basic Materials
High Tech / Big Tech
Pharmaceuticals and
medical products
Telecommunications
Media and entertainment
Agriculture
Chemicals
Aerospace and Defense
Oil and Gas
Source: McKinsey
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100+ AI USE CASES
Click here to see more examples
Source: AI Multiple
Operations
Sales
HR
Data
Customer
Service
Marketing
Analytics
Tech
Health
Tech
Autonomous
Things
100+ AI Use
Cases &
Applications
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WHERE AI PROJECTS ARE BEING USED WITHIN COMPANIES
Human resources Manufacturing Marketing & sales
Product / service
development
Risk
Service
operations
Strategy &
corporate finance
Supply chain
management
All industries 9% 12% 20% 23% 13% 25% 9% 13%
Automotive & Assembly 11% 26% 20% 15% 4% 18% 6% 17%
Business, legal, and
professional services
14% 8% 28% 15% 13% 26% 8% 13%
Consumer goods/retail 2% 18% 22% 17% 1% 15% 4% 18%
Financial services 10% 4% 24% 20% 32% 40% 13% 8%
Healthcare/pharma 9% 11% 14% 29% 13% 17% 12% 9%
High tech/telecom 12% 11% 28% 45% 16% 34% 10% 16%
Source: McKinsey, Artificial Index Report
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Boosted by need to have meaningful information  visual content analysis
EXPONENTIALLY GROWING MARKET Source: Statista
281
328
554
10 15 23 35 51
71
94
126
40
62
734
87
120
165
227
314
434
599
296.7
341.8
432.8
500
0
200
400
600
800
2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
AI WORLDWIDE IN BILLION USD
IDC (February 2021) Tractica (March 2020) Grand View Research (June 2020) Globe newswire (June 2022) L. Vailshery (March 2022)
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AI CAPABILITY / MATURITY AREAS
• Predictable output based on input
it is built to receive
• Always respond to identical
situations in the exact same way,
every time
• Not able to learn new actions from
past activity
• Learns from the past
• Uses historical, observational data
to make predictions and
classifications
• Resulting models and actions not
saved on-device
• Holding meaningful conversations
with an emotionally intelligent robot
• Decision-making that is
comparable to humans
• Understand and remember context
and emotions
• Aware of internal emotions and
mental states
• Able to express and respond within
the context of entities engaged,
topic, environment and internal
emotional state
Planning
Problem Solving Manipulation
Learning
• Deep Blue (Playing Chess)
• Spam and malware filters
• Netflix recommendations
• Alexa/Siri responses
• Self-driving cars “reading the road”
(using own data and that of other
cars e.g.. temperature, speed,
surrounding objects, direction) to
adjust approach
• Kismet robot and Humanoid
Sophia (Recognise faces and
emotions  Respond with on own
facial expressions)
• Chat GPT
• Technology not available yet
• Make inferences “I am feeling
angry because someone cut me off
in traffic”
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TRUST IN AI TO AUTOMATE INSIGHTS/GENERATE CONTENT
47%
42%
39%
37%
33%
32%
30%
22%
21%
Target Ads
Personalise content and offers in real time
Optimise email send time
Calculate conversion probability
Optimise email subject line
Conduct a live chat session
Score leads
Write subject lines
Write copy
Source: Marketing trends 2022
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HOLDING STRONG CONSUMER TRUST
28% 36% 32%
Less Trust in products/services relying on AI Similar trust in products/services relying on AI
More trust in products/services relying on AI
Source: McKinsey, “Global Survey on Digital Trust, 3073 consumers, May 2022”
68%
Consumers that trust
products and services that
rely on AI as much as, or
more than those relying
mostly on people
www.andremuscat.com
 Reviewed AI as a priority for value generation
 Explored ongoing experimentation
 Touched on how businesses are monetising AI
 Understood the intent of adoption by industries
 Discussed the state of customer trust in AI
WHAT WE TALKED ABOUT
AI FOR BUSINESS LEADERS
An introduction to the world of artificial intelligence. Explored at a high-level ongoing business
experiments in creating new value.
www.andremuscat.com
What matters in AI Series
For executives needing to understand the macro and strategic trends in artificial intelligence, its opportunities and
impact from a non-technical perspective.
THANK YOU! WHAT WE EXPLORE NEXT…
AI For
Business
Leaders
1
Utility of AI.
Unleashing new
value across
industries
2
Meet
Generative AI
3
Intelligent
Automation
(IA)
5
Monetisation
of AI
6
Essentials to build
solutions with AI
Capabilities
7
Stakeholder
Engagement in
AI Work
8
Risk
Management in
AI Work
9
The Future
of
Productivity
4