Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation * Discuss the state of maturity of AI across industries * Get an appreciation of business posture to AI projects We also review the utility of AI across several industries including: * Healthcare * Newsroom & Journalism * Travel * Finance * Supply Chain / eCommerce / Retail * Streaming & Gaming * Transportation * Logistics * Manufacturing * Agriculture * Defense & Cybersecurity Part of the What Matters in AI series as published on www.andremuscat.com

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UTILITY OF AI.
UNLEASHING NEW VALUE
ACROSS INDUSTRIES
WHAT MATTERS IN
ARTIFICIAL INTELLIGENCE SERIES

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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.
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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 Discuss the state of maturity of AI across industries
 Get an appreciation of business posture to AI projects
 Review the utility of AI across:
> Healthcare, Newsroom / Journalism, Travel
> Finance
> Supply Chain / eCommerce / Retail
> Streaming & Gaming
> Transportation, Logistics
> Manufacturing, Agriculture
> Defense & Cybersecurity
TODAY’S AGENDA
UTILITY OF AI. UNLEASHING NEW VALUE ACROSS INDUSTRIES
Explore how different industries are embracing the utility of AI to create and
deliver new value for their customers and organisation

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LEADERS RATING STATE OF THEIR INNOVATION PROJECTS
Source: Antonio Grasso (@antgrasso), MIT Sloan Management Review
3%
7%
14%
13%
14%
17%
16%
10%
4%
2%
1
Not at all close
2 3 4 5 6 7 8 9 10
Very Close
Early (24%) Developing (44%) Maturing (32%)

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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, %
CREATING 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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Tech
Automotive
Aerospace and Defense
Life Sciences
Natural Resources
Retail
Utilities
Industrial
Average
Energy
Communication & media
Public Services
Chemicals
Insurance
Travel
Consumer goods & services
Healthcare
Banking & capital markets
AI MATURITY RISING BUT VARIES BETWEEN INDUSTRIES
30% 40% 50% 60%
2021
2024 Estimation
Source: Accenture Research

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16%
19%
22%
25%
28%
31%
34%
38%
44%
59%
69%
3D Printing
Drones
Robots
Virtual reality
Digital tagging and traceability
Augmented reality
Dynamic pricing
Autonomous Vehicles
Chatbots
Internet of Things
Virtual Assistants (e.g. Siri, Alexa)
Most impactful AI Technologies
BUSINESS POSTURE
3%
13%
13%
16%
28%
28%
34%
53%
63%
Fulfilling corporate responsibility
issues
Product quality/safety (e.g.. Reducing
defects)
Increased job fulfillment/flexibility
Better product innovations
Re-thinking business strategies
Increased interconnectivity in retail
value chain
More efficient manufacturing
processes
Creating more meaningful
relationships with customers
More efficient supply chain
Area of greatest business opportunity

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INDUSTRY X APPLICATION OF AI PROJECTS
Future Market
Landscape of
AI + Industry X
Technology
Platform
Providers
Specialised
Delivery
Service
Providers
AI
Technology
Provider

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PEAK AT HOW
INDUSTRIES ARE
USING AI

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 Increase processing of Imaging
scans from 25 a day to thousands
 Better personalised diagnosis &
treatment recommendations
 Preventative care to reduce need of
people needing a doctor:
> Continuous monitoring
> Encourage healthier behaviours
> Oversee early-stage heart disease
> Provide personalised care services
> Align treatments to past conditions
AI IN HEALTHCARE

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AI IN HEALTHCARE: PROOF OF CONCEPT / PRODUCTION
Imaging Identify specific types of abnormalities at a
faster rate, without the need of surgical tissue
samples
Robotic
Surgery
Leveraging precision-control of robotic arms to
achieve higher success operations with less
complications and speedier recovery times 24/7.
Preliminary
Diagnosis
Earlier detection of ailments such as skin cancer
and other conditions
Prioritising patients that need timely care
Virtual
Nursing
Assistants
Providing quick answers to simple patient
questions, especially between office visits. Help
triage patients to appropriate care setting
Connected
Medical
Devices
Pro-actively detecting situations that may breach
safe bed configuration compliance, fall
prevention, alarm and and recommending of
medical reach-out/treatment
Prescription
Error
Recognition
Detecting prescriptions that do not fit past
medical history, or doses needed based on
height, weight, body surface area, or kidney
function
77%
66%
59%
55%
48%
45%
43%
41%
41%
Supporting clinical decision making
Extracting meaning from big data
Resolving operational inefficiencies
Enabling earlier diagnosis of deseases
Optimising admin/clinical workflows
Increasing patient engagement
Advancing patient behavioral change
Advancing personalised medication
Improve data integration from
connected devices
Source: Healthcarenews.com, Phocuswright

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AI IN THE NEWSROOM
15%
31%
19%
30%
60%
45%
31%
53%
50%
30%
40%
38%
28%
20%
10%
0% 20% 40% 60% 80% 100%
Automated recommendations
Commercial uses (better propensity
to pay models, etc.)
Newsroom automation tagging/
transcription/assisted subbing, etc.)
Newsgathering (e.g. help identifying
stories/interrogate data)
Robo-journalism
Not Important Somewhat Important Very Important
Source: Statista, Journalism, Media and Technology Trends and Predictions, 2022

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AI IN TRAVEL
Search & Support
(Chatbots)
Self-Service Shop &
Digital Assistants
(Natural Language
Processing)
Buy
(Machine Learning
and Personalised
Recommendations)
Transit
(Facial Recognition +
AI Baggage
handling)
Experience &
Profound Sentiment
Analysis
(Personalisation)
Share/Analysis
(Flight Forecasting,
Analytics & Social
Media Impact)
Source: Phocuswright

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AI IN FINANCE
Source: Roland Berger, Teradata, Sopra Steria Consulting
25%
26%
35%
70%
Cut costs by letting software bots
perform routing tasks (e.g. feeding
data into Excel)
Future belongs to cognitive systems
Want to use AI to improve customer
experience
Hot priority topic actively being
looked into

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AI IN FINANCE: IMPACT
Cloud
Computing
Enhancing how
products are
delivered and
reduces operational
costs
Reinforcement
Learning
Advances in
reinforcement
learning contribute
to shaping the
future of Algo
Trading
Language
Learning
Advances in natural
language
processing
enabling
processing of even
larger amounts of
data, making better
decisions, faster
Algo Trading
Systems that
handle 75% of the
volume of trades
globally. The focus
in AI trading shifted
from speed to
increasing the
number of variables
in each model
Bots
The most efficient
and easy to deploy
AI-based solution
for financial
institutions
Regulation
Pushing for greater
automation of
trades in some
asset classes
which traditionally
were not executed
electronically

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 Better forecasting and ongoing deep-learning-driven risk analysis
 Increasing velocity of data processing to execute + Reduce unit transaction:
AI IN FINANCE: ELIMINATING FRICTION TO TRANSACTION
ASSET
MANAGEMENT
CREDIT
INTERMEDIATION
ALGORITHMIC
TRADING
BLOCKCHAIN-BASED
FINANCE
Reporting and record
management
Data Analytics
Credit scoring /
risk underwriting
Trading P&L,
reconciliations
Post-Trade Processing
IT / Infrastructure
Compliance
Credit Scoring & Risk
Management
Anti-Money Laundering (AML) /
Know Your Client (KYC) checks
Control functions /
Processes
Anti-Fraud
Tailored recommendations
&
personalised products
Asset Allocation
Robo-advisors, Chatbots,
Customer Service
Biometric
Authentication
Trading strategies and
execution
BACK OFFICE MIDDLE OFFICE FRONT OFFICE
Source: National Crowdfunding & Fintech Association

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AI IN FINANCE: ROBO ADVISORY
Ability to follow-up and
probe based on experience
Understand Client Needs Current Future
Monitor Results & Adjust Current Future
Propose Solutions Current Future
Implement Solutions Current Future
Gather client information
Gather client information
Assess risk-tolerance
Assess risk-tolerance
Consider outside accounts
Consider outside accounts
Understand needs &
preference
Understand needs &
preference
Gather client information
Quarterly or annual
performance reviews
Understand needs &
preference
Dashboards, status-alerts
Assess risk-tolerance
Market updates & research
Consider outside accounts
Ability to explain complex
and confusing topics
Ability to follow-up and
probe based on experience
Ability to explain complex
and confusing contexts
Source: Toptal.com – Current and Future Robo-Advice Capabilities
Client-
Advisor
Lifecycle

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95%
44%
40%
10%
Increasing efficiency and resolving
peristent challenges
Better asset utilisation
More accurate demand forecasts
Reduction in structural costs
AI IN SUPPLY CHAIN
TRANSFORMATION
Source: Building intelligent, resilient and sustainable supply chains

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AI IN ECOMMERCE & RETAIL
Chatbots
Communicate & interact with customers in a
way that delights
Personalisation
Send relevant messages at the right time.
Deliver a seamless experience across
platforms leveraging emerging tech like
Product Image Analytics
Recommendation
System
Recommender systems providing personalised
offers and custom-tailored online journey to
users via their web sites
Predictive
Analytics
Machine Learning based system that can analyse
past transactions to predict how customers will
likely behave in the future
Intelligent Pricing
Algorithm that considers several pricing variables
(e.g., time, period of month, demand, competitor
pricing etc) to determine best prices for items
sold
Source: TP&P Technology
Strategic
Initiatives
Intelligent Demand Forecasting
Customer Churn Protection
Prediction of Customer Lifetime Value
Automated Content Generation

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AI IN ECOMMERCE & RETAIL: CONTEXTUAL INTERACTIONS

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AI IN ECOMMERCE & RETAIL: BENEFITS & VALUE
49%
44%
43%
40%
39%
38%
27%
26%
24%
24%
22%
16%
11%
Cost savings
Increased productivity
Increased revenue
More informed business decision making
Faster resolution of business problems
Automated processes and tasks
Expansion of employee knowledge and skills
Faster delivery of new products & services
Predictive/prescriptive analytics
Ability to design and test new ideas with
Increase in innovation
Ability to identify new revenue streams
Attract new high skill employees
Source: CES, Tech Trends

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 Suggestions based on your
previous reactions and choices
 Fraud detection
> Cheating
> Financial
> Child Abuse
 In-stream object detection
> Buy now
> Advertising
> Censorship
 Responsible Gaming
 Copyright Infringement detection
AI IN STREAMING & GAMING

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AI IN TRANSPORTATION
Traffic Flow
Analysis
Parking and Traffic
Regulation /
Enforcement
Automated License
Plate Recognition
Autonomous
Vehicles
Delay
Predictions
Drone
Taxis
Source: Phocuswright

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AI IN LOGISTICS
Productivity
Accessing shipping
data, filling in forms,
orchestrating data flow
Warehouse
management
avoid mistakes
Predictive Maintenance
Warn about possible
breakdowns / schedule
repairs
Supply Chain Planning
Balance demand, supply
and optimise delivery
processes
Route Optimisation
Using digital. satellite
maps and traffic info to
reduce costs
Workforce planning
Prescriptive
performance
management

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AI IN MANUFACTURING
59%
44%
32%
29%
22%
22%
Quality Control
Inventory Management
Monitoring, Diagnostics
Customer Care
Personalisation of products and
services
Asset maintenance
Source: MIT Global AI Agenda, Promise, Reality and future of data sharing

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 Monitor livestock health in real time
 Monitor crop fields in real time
 Use video feeds to identify human
or animal breaches
 Reduce potential of accidental
destruction of crops
 Improve yield prediction
 Advance pest management
 Use smart tractors, and agribots
when workers are hard to find
 Price forecasting
 Improving product trackability
AI IN AGRICULTURE
Source: V7, 8 Practical applications of AI in agriculture

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AI IN DEFENSE
Training &
Simulation
Surveillance with geospatial
analysis, suspicious activity and
target recognition
Autonomous weaponry for
optimised kill success and
reduced need for human
participation
Forecast and protect against
unauthorised intrusions.
Identification of misinformation
Source: Emero, AI in the Military

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68%
57%
56%
53%
43%
Impersonation and spear-phishing
attacks
More effective ransomware
Misinformation and the undermining
of data integrity
Disruption of remote workers by
targeting home networks
Deepfakes
AI IN CYBER SECURITY – KEY
CONCERNS
Source: Statista, Preparing for AI-Enabled Cyberattacks, 2021

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52%
44%
39%
38%
38%
31%
Allocating more budget to security
Assessing AI-enabled security systems
Automating the investigation process
Deploying autonomous response
technology
Hiring more security analysts
Outsourcing to managed security
service providers
AI IN CYBER SECURITY –
PRIORITY INVESTMENTS
Source: Statista, Preparing for AI-Enabled Cyberattacks, 2021

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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

31. www.andremuscat.com
 Discussed the state of maturity of AI across industries
 Got an appreciation of business posture to AI projects
 Reviewed the utility of AI across:
> Healthcare, Newsroom / Journalism, Travel
> Finance
> Supply Chain / eCommerce / Retail
> Streaming & Gaming
> Transportation, Logistics
> Manufacturing, Agriculture
> Defense & Cybersecurity
TODAY’S AGENDA
HOW AI IS UNLEASHING VALUE ACROSS INDUSTRIES
Explored how different industries are embracing the utility of AI to create and
deliver new value for their customers and organisation

32. 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
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Construction, Machinery, Homes, Education, Entertainment & Leisure, Finance & Financial Services, Food & Beverage, Healthcare &
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