INSTITUTE OF ENGINEERING AND RURAL TECHNOLOGY
,PRAYAGRAJ
AN
ASSIGNMENT ON
THE ROLE OF AI IN ADVERTISING OF SERVICES
SUBMITTED BY
HIMANSHU DUBEY
HIMANSHU YADAV
ARYAN KUSHWAHA
SARVESH PRAJAPATI
CHANDRESH KUMAR
SUBMITTED TO
DR ABDUL RAHMAN
Table of conTenT
➢ Cover page
➢ Table of content
➢ Abstract
➢ Introduction
o An Introduction of Artificial intelligence
o The role of AI in Advertising of Services
➢ Literature Review
➢ Chapter Analysis
➢ Methodology
➢ Data collection
➢ Findings
➢ Discussions
➢ Limitations
➢ Conclusion
➢ Recommendations
➢ References
ABSTRACT
In this unit ,we have considered the topic AI( Artificial Intelligence) . As we
know that AI in now leading the world and solving the world’s problem. AI is
a vast and unimaginable tool for problem solving and creating such
ecosystem for where advancements of technology has been leveraged in
recent years .
AI is cognitive capabilities in machines that is build by programming and
Training by data .
AI is now giving its contribution in Education, Technology like
QuantumComputer ,Entertainment ,Marketing ,etc
In AI ,it has three layers
1 Artificial Intelligence
2 Machine learning
3 Deep Learning
4 Generative AI
AI is no more Sci fi experience, it is real and practicable for everyone .
AI has vast thinkable object that has ability to perform such complex tasks
like Generative AI ,Coding ,
Computation ,and Deep learning etc
It has also significant role in advertising of service like Google Ad uses
Gemini , Meta Ad uses Liama , Amazon uses Alexa , Samsung uses Gauss
etc these are the basic AI tool which are used by such big giants .
AI is now creating videos in second and images too that helps a lot in
advertising .
If we take example of
Netflix uses customer’s choice and help in suggesting most desirable.
content with help of AI
Another example is Spotify , records choices of people for customised tracks
of playlist with the help of AI
INTRODUCTION
1: Introduction to Artificial Intelligence (AI)
“A computer would deserve to be called intelligent if it could deceive a human into believing
that it was human.”
Alan Turing (1912-1954),
AI is transforming industries too–improving healthcare with precise diagnoses, optimizing
manufacturing supply chains, and even helping farmers plant with better precision
AI is no longer just a cool sci-fi concept but a complex and ever-evolving area of study. It’s a
multidisciplinary field that brings together computer science, mathematics, psychology,
neuroscience, linguistics, and many other areas.
AI refers to the simulation of specific human cognitive capabilities in machines. These machines
are programmed and managed by humans to perform complex tasks. Think of it like giving a
computer a brain that’s really good at a specific tasks.
Now, AI is a huge umbrella term that covers a lot of fascinating subfields.
1 MACHINE LEARNING, where machines learn from data and improve over time
without being explicitly programmed to perform a specific tasks .
2 DEEP LEARNING ,which is a type of machine learning that uses neural networks to
mimic the way our brains work.
3. NATURAL LEARNING PROCESS Natural Language Processing or NLP. This helps
machines understand and interact with human language.
AI is a broad field, and like a house, it has areas with unique functions that build upon and
support one another. In this course, we’ll explore each of these basic concepts in detail.
We’ll see how machine learning helps in pattern recognition, how deep learning powers voice
assistants, how NLP translates languages and understands texts, and much more.
A brief history of AI
AI as a concept dates back to the 1950s when computing pioneers such as Alan Turing and John
McCarthy laid its theoretical foundations. The term “Artificial Intelligence” was first used during
the Dartmouth Conference in 1956 which marked the beginning of AI as a distinct field of study.
Types of AI: Narrow vs. general AI
Narrow AI
(Weak AI)
Also known as weak AI, is designed to perform a specific task or set of tasks with a high level of
proficiency, such as facial recognition or language translation. It is considered “narrow” because
it lacks the ability to understand, learn, and apply knowledge beyond its programmed domain.
Examples of narrow AI are numerous, and include voice assistants like Siri and Alexa, chatbots
found in apps and on websites, and recommendation algorithms used by Netflix, Amazon, and
Spotify.
General AI
(Strong AI)
Or strong AI, is a theoretical form of AI that possesses the ability to understand, learn, and apply
knowledge across a wide range of tasks at a level comparable to human intelligence. There are
currently no examples of general AI systems, as the technology does not yet exist.
Achieving this level of AI remains an ongoing and challenging area of research and will require
a deeper understanding of consciousness and cognition.
DEFINITION OF AI
It is refers to the simulation of specific human cognitive capabilities in machines that are
programmed and managed by humans to perform complex tasks
Various functions of AI
1. Recognising speech.
Example : Alexa of Amazon
2. Decision support
Example : Purplexity AI
3. Assisting with problem solving
Example: Deep mind of Google Gemini
4. TRANSLATING LANGUAGES
Example : Bhashini by Government of India
5. Driving vehicles
Example : Cybertruck of Tesla
Part 2
Fundamentals of Machine Learning
Definition and Key Concepts
Machine learning is the foundation of modern artificial intelligence. A basic understanding of
how machines learn from and interpret data provides key insights into AI as a whole.
Machine learning is a subset of artificial intelligence that enables systems to learn and improve
from experience without being explicitly programmed. This iterative process allows machines to
adapt and optimize their performance over time.
Key concepts in machine learning include:
Training Data
Used to teach the system.
Algorithms
Process data and make predictions or decisions.
Models
The output of the learning process that can be applied to new data.
Part 3
Diving Into Deep Learning
“Machine intelligence is the last invention that humanity will ever need to make.”
Nick Bostrom, philosopher
Deep learning is a subset of machine learning that utilizes neural networks with many
layers (hence “deep”) to model complex patterns and representations in large datasets.
Unlike traditional machine learning, deep learning algorithms automatically learn
hierarchical features from raw data. This ability to process vast amounts of structured and
unstructured data, such as images and text, sets deep learning apart, enabling
advancements in fields like computer vision and natural language processing.
Neural networks: Structure and function
Neural networks are computational models inspired by the human brain and modelled by
humans, consisting of interconnected layers of nodes or neurons. Each neuron processes
input data and passes the results to subsequent layers, enabling the network to discover
and recognize patterns.
This layered structure allows neural networks to perform complex tasks by gradually
refining their understanding of the data through training.
Deep learning algorithms
Deep learning algorithms are specialized techniques used within neural networks to learn
from large amounts of data. These algorithms, such as convolutional neural networks
(CNNs) for image processing and recurrent neural networks (RNNs) for sequential data,
enable the automatic extraction of features and the modeling of intricate patterns.
Like neural networks, deep learning algorithms can find patterns and recognize hierarchies
in data sets but they are not yet capable of providing explanations or suggesting theories for
why such patterns exist.
1.GOOGLE TRANSLATE uses NLP to instantly translate text between languages, facilitating
global communication.
2. NVivo is a data analysis program that employs NLP to help researchers identify patterns
and insights from large volumes of text, such as interviews and surveys.
Content design and generation
1. Canva
2. Chatgpt
Etc
THE ROLE OF AI IN
ADVERTISING OF SERVICE
Introduction
Artificial intelligence (AI) in advertising has gained significant interest and
adoption recently, which makes it an important research topic. The purpose is to
explore how the integration of AI can be utilized efficiently in advertising creation,
the applicability in its current state, and consumers perception of advertising
material generated by AI. The advertisement agencies, an experiments with AI,
focus groups to gather consumer perceptions and attitudes, and a content analysis
to evaluate AI’s ability to create advertising strategies compared to professional
agencies. The findings provide insights into how the AI models ChatGPT and Dall-E
can support marketers in both the strategic and creative process.
Functions
1 Enhanced Targeting and
Personalization
- AI enables advertisers to analyze vast amounts of data to understand consumer
behaviour, preferences, and trends, allowing for highly targeted and personalized
ad campaigns
- This personalization goes beyond demographics, using behavioural and
emotional data to deliver relevant content to each user, increasing engagement
and conversion rates.
2 Predictive Analytics and Consumer
Insights
- AI uses predictive analytics to forecast future consumer actions, helping
advertisers recommend services based on past behaviour and interests.
- By building detailed consumer profiles from multiple data sources (social media,
purchase history, web interactions), AI helps brands design campaigns that
resonate with the right audience.
3 Dynamic Content Optimization
- AI can adjust ad content in real time based on user interactions, ensuring
messages remain relevant and engaging throughout the customer journey
-
4 Efficient Campaign Management
- AI automates repetitive tasks such as bidding, budget optimization, and
campaign adjustments, improving efficiency, reducing human error, and lowering
operational costs
- It also allows for real-time campaign performance analysis, enabling quick
strategic changes for better results
5 Programmatic Advertising
- AI powers programmatic advertising by automating the buying and selling of
ad space. This ensures ads reach the right audience at the optimal time and
price, streamlining the process and improving
6 Advanced Analytics
- AI provides deep, actionable insights into campaign performance, helping
advertisers refine strategies and maximize impact
IMPACT OF ARTIFICIAL INTELLIGENCE ON ADVERTISING
Artificial Intelligence has impacted advertising many ways; here are some
effects that Digital Marketing is going to face in the coming years.
1. Chatbots
2. Content Creation and curation
3. Ad targeting
5. Predictive marketing
6. Voice search
7. Target right audience
8. Web development
EXAMPLE OF AI IN ADVERTISING
1 Nike - Personalized online experiences
2 Amazon - Personalized shopping recommendation
3 Alibaba – Fashion AI store
4 BMW – Intelligent Personal Assistant
5 Starbucks – Reward Program/Mobile App
NETFLIX : EXCLUSIVE CONTENT EXCLUSIVE
Literature review
1. The article entitled “AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE
“ of HP LIFE AI COURSE has given ideas regarding basics of AI and
giving basic knowledge about Artificial intelligence and its features ,
role , types and significant. In this article , AI has four level , Artificial
Intelligence, Machine Learning, Deep Learning, Generative AI ,Natural
learning Process .
2. The article entitled “ THE ROLE OF AI IN ADVERTISING OF SERVICES”
of INTERNATIONAL JOURNAL OF AQUATIC SCIENCE “ by Mrs.K.Nalini
Dr.P.Radhakrishnan , G.Yogi ,S.Santhiya, V.Harivardhini. In this unit ,
how AI impact advertising in this era . How AI is now leading in
advertising of services like Generative AI, Deep learning etc
Chapter Analysis
1. In the first unit ,we have considered that what is AI and how it is
used for , how AI is leading and it is transforming the world through
innovative ideas.
2. In the second unit , we have considered the role of AI in
Advertising of Services, how AI is now reached at Generative AI , it
is providing us a basic understanding of Digital Advertising tools
,incorporating in understanding the concepts of ads process by
creating virtual influencers and providing high level of precision.
Methodology
In designing of this unit , we have introduced AI
and found the role in our daily life . After
Analysing , we obtained levels of AI and broader
concepts .
We have found a significant role in advertising of
services through various secondary data based on
AI FOR BEGINNER COURSES by HP life such as
,organizations uses AI as tool for analysing data
and understanding customers behaviour based on
pattern of their interests.
Data Collection
In designing of this unit , we have used
qualitative data based on AI FOR BEGINNER
course by HP LIFE .In this course we have
learned about AI and role, significance, and
levels ,and extent of AI .
1. Primary data ( From HP LIFE AI
COURSE)
It provided us basic concepts about AI
.
2. Secondary data ( INTERNATIONAL
JOURNAL OF AQUATIC SCIENCE)
It provided us concept about role of AI
in Advertising of Services.
FINDINGS
We have found that
1. Basic concepts about AI
2. Significance
3. Role
4. Use
5. Levels
6. Future Digital Ads process
Discussion
Now we have reached at a level where we
can discuss about AI and its role in
advertising of services. AI is now
become more and more advance ,
precise in calculation , and have
capable to calculate difficult tasks .
LIMITATIONS
AI is now pushing all limits in this time and
it will more capable in upcoming period
but it has certain limits.
1. AI, only understand about
programmed data .
2. AI work on qualitative data not on
qualitative .
3. Generative is now creating as we
prompt but for desirable we have to
learn how to prompt .
4. At this time we have to learn about
AI and have to develop skill
regarding AI prompt
Conclusion
Now I , conclude that AI is now leading
,transforming and controlling the
world . It has ascipitral and cognitive
thinking level . It is now pushing all
limits where we can think and
developing massive as well as
revolutionary skill . It is arising in
the world of advertising and
transforming world quickly . It is
next level in Advertising, by
presenting Generative AI which
has ability to create advertising in
few second
Recommendations
After careful study I have learnt its
pros and cons and I would recommend
that
1. We should use AI carefully and not
totally being depends upon AI .
2. We should avoid the use of AI
because it is draining our creative
brain .
3. Generative AI is now creating
images as we prompt and this is
replacing art and craft as well as
creativity .
❖ References
❖ HP LIFE BEGINNER COURSES ON AI
❖ INTERNATIONAL JOURNAL OF AQUATIC SCIENCE
❖ GOOGLE IMAGES
❖ PURPLEXITY AI
