The document explores the concept of artificial intelligence (AI), detailing various definitions and the evolution of the field, particularly focusing on machine learning and deep learning. It presents practical applications of AI in everyday contexts, such as self-driving cars, personalized advertising, and the fashion industry, highlighting examples like AI-generated advertisements and targeted marketing strategies. Additionally, it emphasizes AI's capabilities and limitations, noting that while AI excels in analyzing large datasets, it struggles with complex tasks requiring nuanced human understanding.

1. AI FOR EVERYONE

2. AI from our childhood

3. WHAT IS AI?

4. Different people think of AI
differently The study of mental faculties through
the use of computational models
(Charniak and McDermott, 1985)
The automation of activities that we
associate with human thinking, activities
such as decision-making, problem
solving, learning (Bellman, 1978)
The art of creating machines that perform
functions that require intelligence when
performed by people (Kurzweil, 1990)
The exciting new effort to make computers
think ... machines with minds, in the full and
literal sense (Haugeland, 1985)
The study of how to make computers do things
at which, at the moment, people are better (Rich
and Knight, 1991
The study of the computations that make
it possible to perceive, reason, and act
(Winston, 1992)
A field of study that seeks to explain
and emulate intelligent behavior in
terms of computational processes
(Schalkoff, 1990)
The branch of computer science that is
concerned with the automation of
intelligent behavior'' (Luger and
Stubblefield, 1993)

5. AI is the ability of a
computer program or a
machine to
ACT HUMANLY
THINK HUMANLY
ACT RATIONALLY
THINK RATIONALLY

6. It’s very common these days to
come across these terms
MACHINE LEARNING
DEEP LEARNING,
DATA SCIENCE,
and much more

7. INPUT OUTPUT
MACHINE LEARNING
Machine learning is the subfield of computer science that gives
computers the ability to learn without being explicitly
programmed (Wikipedia)
(Supervised learning)

8. MACHINE LEARNING

9. MACHINE LEARNING SIMPLE WORKFLOW
COLLECT DATA TRAIN MODEL DEPLOY MODEL
The data set will connect to an
algorithm, and the algorithm
leverages sophisticated
mathematical modeling to learn
and develop predictions.
Practice makes perfect!

10. DEEP LEARNING
Deep Learning là một solfware bắt chước mạng lưới các neuron trong não con người. Nó là một tập
hợp con của Machine Learning và được gọi là Deep Learning vì nó sử dụng các deep neural
networks

11. MACHINE LEARNING VS DEEP LEARNING

12. AI
MACHINE LEARNING
DEEP LEARNING
DATA SCIENCE
Generate value
from data
Learn from data
Take action from data

13. Gmail and Google Docs now use AI
to read what you're typing, then
understand it enough to recommend
what to type next.
Facebook uses AI to detect
who is in your photos, then
recommends who to tag.
Self-driving cars use
AI to detect obstacles
and drive (hopefully) in
a safe and effective
way.
Siri on iPhone uses AI to
understand your voice
commands and create
responses that make sense.
Basic examples of AI in use today

14. Netflix uses AI for
Personalization of Movie Recommendations,
Auto-Generation and Personalization of
Thumbnails,
Streaming Quality,
…
Other example

15. What AI Can and Can’t
Do

16. Machine Learning isn’t magic

17. One imperfect rule of thumb we can use
to decide what machine learning
(supervised learning) may or may not be
able to do is that,
anything a human could do with a
second of thought

18. WHAT MACHINE LEARNING CAN DO, FOR EXAMPLE:

19. WHAT MACHINE LEARNING CAN’T DO
to analyze a market
and write a 50 page
report,
a human cannot
write
a 50 page mark of
analysis report in a
second

20. [Email] "The iphone arrived two days late, so I wasn't able to
give it to my girlfriend for her birthday. Can I return it?”
Refund request
Input text • refund or a shipping
problem,
• shipping query,
• or a different requests
Reply: Oh, sorry to hear that.
I hope you're girlfriend had a good
birthday.
Yes, we can help with, and so on.
• "Thank you for your
email"
AI CAN DO AI CAN’T DO

21. • Learning a “simple” concept
• Lots of data available
What makes more likely to be feasible
• trying to learn a complex
concept from small amounts of
data.
• it's asked to perform on new
types of data
AI tends to do poorly when

22. How AI applies to
advertising

23. AI is transforming what is possible in the world
of advertising at every level, from ad creation to
audience targeting to ad buying

24. Ad creation

25. https://www.youtube.com/watch?v=a2_smFoqQUg
THE LEXUS AD THAT NO HUMAN CREATED
Lexus has created the first ever
advert scripted entirely by AI –
a dramatic 60s film that tells the
story of a car that comes to life to
mark the launch of its new ES
executive saloon car

26. https://www.youtube.com/watch?v=a2_smFoqQUg
HOW DID LEXUS DO THAT?
They developed the bespoke AI and
trained it with data including 15
years of award-winning luxury
adverts, emotional intelligence about
what connects most strongly with
viewers and specially commissioned
information about human intuition.
THE LEXUS AD THAT NO HUMAN CREATED

27. THE LEXUS AD THAT NO HUMAN CREATED
Source: TheDots Learning, Square Group

28. Source: TheDots Learning, Square Group
THE LEXUS AD THAT NO HUMAN CREATED

29. Ad performance and budget effectiveness

30. HOW REDBALLOON USED AI TO GET A 3,000% RETURN ON AD SPEND
$45,000 per month on ad agencies alone to run digital
advertising for the brand.
over $50 to acquire a single customer at the time.
Tốn kém
quá trời
ơiii
Naomi Simson – Co-founded Redballoon
an online marketplace for gifts and experiences since 2001:
customers have bought everything from outdoor adventures to
cooking classes—for themselves or as a present for someone
else.
In early stage, the brand spent
The biggest pain point RedBalloon had was paid advertising

31. Albert – AI-powered platform that automatically runs and optimizes paid advertising
campaigns
Then one day, Albert came into Simson’s life….and he saved
her…
WHAT DID ALBERT DO?
“He” analyzed data across the ad accounts and customer
databases, then uses sophisticated machine learning to target,
run and optimize the ad campaigns.
Example: Albert turn out the expats were highly motivated to buy
gifts and experiences whenever they returned home, either for
themselves or themselves. Then “he” effectively advertised to this
TA group.
HOW REDBALLOON USED AI TO GET A 3,000% RETURN ON AD SPEND

32. Facebook advertising, specifically ad
frequency and relevance score. These two
numbers are key pieces of data that
Facebook’s algorithms use—without human
involvement—to dictate how much we pay
and how our ads are displayed.
FACEBOOK ADVERTISING – an example of how AI can optimize advertising
spend and targeting
Ads relevance score feedback: Relevance
Scores được tính dựa trên sự phản hồi của khách
hàng là tiêu cực hay tích cực. Hiểu thêm về relevance
score Link

33. AI in fashion

34. Source: TheDots Learning, Square Group
SEVERAL WAYS THAT FASHION BRANDS ARE USING AI FOR
PERSONALIZATION

35. CASE STUDIES
SEPHORA VISUAL ARTIST
Sephora Visual Artist app allows customers to
upload theirs photo, which then recognizes the
most compatible shades for the individual, and
then through the use of AI can give product
recommendations from Sephora’s expansive
inventory.
It also provides a visual representation of how
certain products will look on the customer to give
them a closer approximation before they buy it.
https://sephoravirtualartist.com/ca-
en/landing_5.0.php?country=CA&lang=en&x=&skintone=&currentModel=

36. Macy’s On Call
a mobile Web-based AI platform that lets
shoppers get answers customized to the
store they're in — like where a particular
brand is located or what's in stock — that
they would normally ask a sales associate
face-to-face.
https://www.youtube.com/watch?time_continue=15&v=P
RtQzcIzqy8&feature=emb_logo
CASE STUDIES

37. THANK YOU
[This slide is created by AI – Hello!]