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AI FOR
BUSINESS
LEADERS
WHAT MATTERS IN
ARTIFICIAL INTELLIGENCE SERIES
www.andremuscat.com
This is an informational piece of work designed to simplify, inform, educate and entertain people around a complex topic.
This publication was built by researching, collating and using publicly available information . It is being made available under the Terms of Services as published on
www.andremuscat.com. Wherever possible, any source materials are highlighted, and remain the full ownership of their creators/publishers. Any interpretations applied
are used to enhance and compliment the understanding of the topic. All opinions are those of the author alone.
Wherever possible we use data sources that collect data or consider data that spans impacted users, roles and people working across various industries such as
Advertising & Marketing, Airlines & Aerospace, Automotive & Transportation, Business Support & Logistics, Construction, Machinery, Homes, Education, Entertainment
& Leisure, Finance & Financial Services, Food & Beverage, Healthcare & Pharmaceuticals, Insurance, Manufacturing, Retail, E-Commerce, Real Estate,
Telecommunications, Technology, Internet & Electronics, Utilities and Energy. We also try to consider companies of various sizes across markets and geographies.
In no way or means of this material, are we rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This publication is
not a substitute for engaged professional advice or services, nor should it be used as a basis for any decision or action that may affect your business.
Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor to fully assess your situation and
context.
The author or andremuscat.com shall not be responsible for any loss sustained by any person or organisation that relies on this publication.
Copyright © Andre Muscat. All rights reserved
EDUCATIONAL CONTENT
www.andremuscat.com
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
www.andremuscat.com
 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.
www.andremuscat.com
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
www.andremuscat.com
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
www.andremuscat.com
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
www.andremuscat.com
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

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AI FOR BUSINESS LEADERS

  • 2. www.andremuscat.com This is an informational piece of work designed to simplify, inform, educate and entertain people around a complex topic. This publication was built by researching, collating and using publicly available information . It is being made available under the Terms of Services as published on www.andremuscat.com. Wherever possible, any source materials are highlighted, and remain the full ownership of their creators/publishers. Any interpretations applied are used to enhance and compliment the understanding of the topic. All opinions are those of the author alone. Wherever possible we use data sources that collect data or consider data that spans impacted users, roles and people working across various industries such as Advertising & Marketing, Airlines & Aerospace, Automotive & Transportation, Business Support & Logistics, Construction, Machinery, Homes, Education, Entertainment & Leisure, Finance & Financial Services, Food & Beverage, Healthcare & Pharmaceuticals, Insurance, Manufacturing, Retail, E-Commerce, Real Estate, Telecommunications, Technology, Internet & Electronics, Utilities and Energy. We also try to consider companies of various sizes across markets and geographies. In no way or means of this material, are we rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This publication is not a substitute for engaged professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor to fully assess your situation and context. The author or andremuscat.com shall not be responsible for any loss sustained by any person or organisation that relies on this publication. Copyright © Andre Muscat. All rights reserved EDUCATIONAL CONTENT
  • 3. www.andremuscat.com 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
  • 4. www.andremuscat.com  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.
  • 5. www.andremuscat.com 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
  • 6. www.andremuscat.com 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
  • 7. www.andremuscat.com EVER EXPERIENCED ARTIFICIAL INTELLIGENCE (AI)?  Traffic Control  Automated Vehicle Assistance (Break/Speed control)  Personalised Product recommendations  On-Demand Language Translation
  • 8. www.andremuscat.com  Automated Identification & Access Control (e.g.. passports)  Robotic Surveillance  Identify suspicious activity  Customer service personalisation  Theft detection and faster, personalised checkouts ENHANCING CAPABILITIES…
  • 9. www.andremuscat.com  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…
  • 10. www.andremuscat.com  Entertainment  Sharing Experiences & Creations  Smart Assistance & Home Automation CRITICAL CAPABILITY TO EVERYDAY PRODUCTS
  • 12. www.andremuscat.com 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
  • 13. www.andremuscat.com 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
  • 14. www.andremuscat.com 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
  • 15. www.andremuscat.com 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)
  • 16. www.andremuscat.com 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
  • 17. www.andremuscat.com 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
  • 18. www.andremuscat.com 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
  • 19. www.andremuscat.com 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
  • 20. www.andremuscat.com 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)
  • 21. www.andremuscat.com 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”
  • 22. www.andremuscat.com 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
  • 23. www.andremuscat.com 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
  • 24. 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.
  • 25. 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