Generative AI in Marketing : Revolutionize Your Advertising Campaigns Tutorial

Explore generative AI applied to marketing and advertising. Discover GANs, language models, deep learning, and much more. From theory to practice, this video guides you through the basics and applications of generative AI in the field of marketing. 

We will detail each generative AI technique, illustrated with concrete examples. Allowing you to understand how they work in depth. Generative AI is used to create personalized advertisements, generate high-quality content, segment markets, and recommend products more effectively than ever before. 

Furthermore, we will present practical steps to implement generative AI in your own marketing campaigns. From data collection to creating customized models, through content generation and real-time optimization of your campaigns. Join us for this in-depth exploration of generative AI and discover how it can propel your advertising campaigns to new heights of success. Stay competitive in the ever-evolving universe of digital marketing.

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Objectifs :

This training video aims to provide an in-depth understanding of generative AI and its transformative impact on advertising and marketing. Participants will learn about the key techniques of generative AI, its practical applications, and how to implement these principles in their marketing strategies.

Chapitres :

  1. Introduction to Generative AI
    Welcome to this training video on the use of generative AI in advertising and marketing. In this session, we will explore the fascinating world of generative AI and discover how it is revolutionizing the field of commerce. Generative Artificial Intelligence is an advanced technology that enables computers to autonomously create content using pre-trained models and data to generate creative outcomes. Unlike traditional AI, which follows strict rules, generative AI is capable of producing unique and creative works.
  2. The Importance of Generative AI in Marketing
    In an environment where advertising expenditures are growing exponentially, businesses must innovate to stand out. This is where generative AI comes into play. It offers the possibility to create highly personalized advertising content, optimize campaigns in real-time, and engage customers more effectively than ever before.
  3. Key Techniques of Generative AI
    Let's explore the different generative AI techniques revolutionizing the field of marketing and advertising. Here are some of the most powerful methods at our disposal: - **Generative Adversarial Networks (GANs)**: These consist of two neural networks, a generator and a discriminator, that compete in an adversarial game. The generator creates data such as images, while the discriminator tries to distinguish these generated data from real data. Over time, the generator continuously improves to produce data indistinguishable from reality. - **Pre-trained Language Models**: These models are capable of understanding and generating text contextually. For example, a language model can create product descriptions based on the features of an item. - **Deep Learning**: This powerful technique uses deep neural networks to extract complex information from raw data. In marketing, these networks can analyze massive data streams to detect consumer trends and preferences. - **Reinforcement Learning**: Inspired by behavioral psychology, this technique involves training an AI model to make decisions by rewarding positive actions and penalizing negative ones. For instance, in online advertising, a model can learn to optimize ad spending based on past results.
  4. Practical Applications of Generative AI
    The applications of generative AI in marketing are numerous. One of the most powerful uses is personalized advertising. Companies can utilize customer data, such as purchasing preferences and browsing history, to generate tailor-made advertisements. This means that each ad is designed to maximize relevance, thus increasing the chances of conversion. For example, imagine you are an online retail company with a customer named Lisa who recently viewed running shoes on your website. With generative AI, you can create a personalized ad for Lisa that she will see when browsing partner websites, increasing the likelihood that she will click on the ad and make a purchase. This illustrates how generative AI can transform every customer touchpoint into a conversion opportunity.
  5. Implementing Generative AI in Your Marketing Strategy
    Now that we have explored the basics, let's see how you can apply the principles of generative AI in your own marketing work. Here are the key steps to follow: 1. **Collect Relevant Data**: Gather customer preferences, behavioral data, or product information. 2. **Train a Generative AI Model**: Tailor the model to your specific needs. Generative AI is a revolution for marketing. It offers powerful ways to personalize advertisements, generate high-quality content, and optimize campaigns for exceptional results.

FAQ :

What is generative AI?

Generative AI refers to advanced technologies that allow computers to autonomously create content using pre-trained models and data, producing unique and creative works.

How does generative AI differ from traditional AI?

Unlike traditional AI, which follows strict rules, generative AI can produce unique and creative outputs, making it more versatile in applications like advertising and marketing.

What are Generative Adversarial Networks (GANs)?

GANs are a cornerstone of generative AI, consisting of two neural networks that compete against each other to improve the quality of generated data, such as images.

How can businesses use generative AI in marketing?

Businesses can use generative AI to create personalized advertisements, optimize campaigns in real-time, and engage customers more effectively by leveraging customer data.

What is the role of deep learning in generative AI?

Deep learning is a powerful technique in generative AI that uses deep neural networks to analyze large data sets, helping to identify consumer trends and preferences.

Can you give an example of personalized advertising using generative AI?

For instance, if a customer named Lisa views running shoes on an online retail site, generative AI can create a personalized ad for her that appears on partner websites, increasing the likelihood of her making a purchase.

Quelques cas d'usages :

Personalized Marketing Campaigns

Companies can utilize generative AI to analyze customer data and create personalized marketing campaigns that target individual preferences, leading to higher engagement and conversion rates.

Content Generation for E-commerce

E-commerce businesses can employ generative AI to automatically generate product descriptions and marketing content, saving time and ensuring consistency across platforms.

Real-time Campaign Optimization

Using reinforcement learning, businesses can optimize their advertising spend in real-time based on past performance data, ensuring that resources are allocated effectively for maximum impact.

Trend Analysis and Forecasting

Deep learning techniques can be applied to analyze large datasets to detect emerging consumer trends, allowing businesses to adapt their strategies proactively.

Enhanced Customer Engagement

By leveraging generative AI, companies can create interactive and engaging advertisements that resonate with customers, improving overall brand loyalty and customer satisfaction.

Glossaire :

Generative AI

Generative Artificial Intelligence is an advanced technology that enables computers to autonomously create content using pre-trained models and data to generate creative outcomes.

Generative Adversarial Networks (GANs)

A type of generative AI consisting of two neural networks, a generator and a discriminator, that compete in an adversarial game to produce data indistinguishable from real data.

Pre-trained language models

Models capable of understanding and generating text contextually, allowing for the creation of content such as product descriptions based on item features.

Deep learning

A field of machine learning that uses deep neural networks to extract complex information from raw data, often applied in analyzing consumer trends and preferences.

Reinforcement learning

A technique inspired by behavioral psychology that involves training an AI model to make decisions by rewarding positive actions and penalizing negative ones.

Personalized advertising

A marketing strategy that uses customer data, such as purchasing preferences and browsing history, to create tailor-made advertisements that maximize relevance and increase conversion chances.

résultat(s)
00:00:05
Welcome to this training video
00:00:06
on the use of generative AI
00:00:08
in advertising and marketing.
00:00:10
In this session, we will dive deep
00:00:12
into the fascinating world of
00:00:14
generative AI and discover how it is
00:00:16
revolutionizing the field of commerce.
00:00:18
Let's start by understanding
00:00:20
what generative AI is.
00:00:22
Generative Artificial Intelligence is
00:00:24
an advanced technology that enables
00:00:26
computers to autonomously create
00:00:28
content using pre trained models and
00:00:30
data to generate creative outcomes.
00:00:33
Unlike traditional AI which
00:00:34
follows strict rules,
00:00:36
generative AI is capable of
00:00:38
producing unique and creative works.
00:00:40
In an environment where advertising
00:00:42
expenditures are growing exponentially,
00:00:43
businesses must innovate to stand out.
00:00:46
This is where Generative AI comes into play.
00:00:48
It offers the possibility to create
00:00:51
highly personalized advertising content,
00:00:53
optimize campaigns in real time,
00:00:55
and engage customers more
00:00:56
effectively than ever before.
00:00:58
Now let's explore the different generative
00:01:01
AI techniques revolutionizing the
00:01:03
field of marketing and advertising.
00:01:05
Here are some of the most
00:01:07
powerful methods at our disposal,
00:01:09
Generative Adversarial Networks Geons,
00:01:11
Jans are one of the cornerstones
00:01:14
of generative AI.
00:01:16
They consist of two neural networks,
00:01:18
a generator and a discriminator,
00:01:20
that compete in an adversarial game.
00:01:23
The generator creates data such
00:01:25
as images while the discriminator
00:01:27
tries to distinguish these generated
00:01:29
data from real data.
00:01:30
Over time,
00:01:31
the generator continuously improves to
00:01:34
produce data indistinguishable from reality.
00:01:36
Pre trained language models another
00:01:39
essential element of generative AI.
00:01:41
These models are capable of understanding
00:01:44
and generating text contextually.
00:01:46
For example,
00:01:47
a language model can create
00:01:49
product descriptions based on the
00:01:51
features of an item.
00:01:53
Deep learning Deep learning is also a
00:01:56
powerful technique in generative AI.
00:01:58
It's a field of machine learning where
00:02:00
deep neural networks are used to
00:02:02
extract complex information from raw data.
00:02:04
For example,
00:02:05
in marketing.
00:02:06
These networks can analyse
00:02:08
massive data streams to detect
00:02:11
consumer trends and preferences.
00:02:13
Reinforcement learning.
00:02:14
This technique is inspired
00:02:16
by behavioural psychology.
00:02:18
It involves training an AI model to
00:02:20
make decisions by rewarding positive
00:02:22
actions and penalizing negative ones.
00:02:25
For example,
00:02:26
in online advertising,
00:02:27
a model can learn to optimize ad
00:02:29
spending based on past results.
00:02:31
These techniques are just a few
00:02:33
examples of the power of generative AI.
00:02:35
By combining them appropriately,
00:02:37
we can create advanced AI systems
00:02:39
capable of reinventing how we
00:02:41
do advertising and marketing.
00:02:42
Now let's see how generative
00:02:44
AI is used in practice.
00:02:46
The applications are numerous.
00:02:48
For example,
00:02:49
personalized advertising is
00:02:50
one of the most powerful.
00:02:52
Companies can use customer data,
00:02:54
such as their purchasing preferences
00:02:56
and browsing history to generate
00:02:58
tailor made advertisements.
00:03:00
This means that each ad is
00:03:02
designed to maximize relevance,
00:03:03
thus increasing the chances of conversion.
00:03:06
Let's look at a concrete example.
00:03:09
Imagine you are an online retail company.
00:03:11
You have a customer, Lisa,
00:03:13
who recently viewed running
00:03:14
shoes on your website.
00:03:15
With generative AI,
00:03:17
you can create a personalized ad for Lisa.
00:03:20
She will see this ad when
00:03:22
she browses partner websites,
00:03:23
increasing the likelihood that she will
00:03:25
click on the ad and make a purchase.
00:03:27
This shows how generative AI can
00:03:29
transform every customer touch
00:03:31
point into a conversion opportunity.
00:03:33
Now that we have explored the basics,
00:03:35
let's see how you can apply
00:03:37
the principles of generative
00:03:38
AI in your own marketing work.
00:03:40
Here are the key steps to follow.
00:03:42
The first step is to collect relevant data,
00:03:44
whether it's customer preferences,
00:03:47
behavioral data, or product information.
00:03:49
Then you train a generative AI model
00:03:52
tailored to your specific needs.
00:03:54
Generative AI is a revolution for marketing.
00:03:56
It offers powerful ways to
00:03:58
personalize advertisements,
00:03:59
generate high quality content,
00:04:01
and optimize campaigns
00:04:02
for exceptional results.

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résultat(s)
00:00:05
Bem-vindo a este vídeo de formação
00:00:06
sobre a utilização da IA generativa
00:00:08
em publicidade e marketing.
00:00:10
Nesta sessão, vamos mergulhar fundo
00:00:12
no fascinante mundo de
00:00:14
IA generativa e descubra como é
00:00:16
revolucionando o campo do comércio.
00:00:18
Comecemos por compreender
00:00:20
o que é IA generativa.
00:00:22
A Inteligência Artificial Generativa é
00:00:24
uma tecnologia avançada que permite
00:00:26
computadores para criar de forma autónoma
00:00:28
conteúdo utilizando modelos pré-treinados e
00:00:30
dados para gerar resultados criativos.
00:00:33
Ao contrário da IA tradicional, que
00:00:34
segue regras rigorosas,
00:00:36
a IA generativa é capaz de
00:00:38
produzir trabalhos únicos e criativos.
00:00:40
Num ambiente onde a publicidade
00:00:42
as despesas estão a crescer exponencialmente,
00:00:43
As empresas têm de inovar para se destacarem.
00:00:46
É aqui que a IA Generativa entra em jogo.
00:00:48
Oferece a possibilidade de criar
00:00:51
conteúdo publicitário altamente personalizado,
00:00:53
otimizar campanhas em tempo real,
00:00:55
e envolver mais os clientes
00:00:56
eficaz do que nunca.
00:00:58
Agora vamos explorar os diferentes generativos
00:01:01
Técnicas de IA revolucionando o
00:01:03
área de marketing e publicidade.
00:01:05
Aqui estão alguns dos mais
00:01:07
métodos poderosos à nossa disposição,
00:01:09
Redes Generativas Adversariais Geons,
00:01:11
Jans são uma das pedras angulares
00:01:14
de IA generativa.
00:01:16
Eles consistem em duas redes neurais,
00:01:18
um gerador e um discriminador,
00:01:20
que competem num jogo adversário.
00:01:23
O gerador cria dados tais
00:01:25
como imagens enquanto o discriminador
00:01:27
tenta distinguir estes gerados
00:01:29
dados de dados reais.
00:01:30
Ao longo do tempo,
00:01:31
o gerador melhora continuamente para
00:01:34
produzir dados indistinguíveis da realidade.
00:01:36
Linguagem pré-treinada modela outro
00:01:39
elemento essencial da IA generativa.
00:01:41
Estes modelos são capazes de compreender
00:01:44
e gerar texto contextualmente.
00:01:46
Por exemplo
00:01:47
um modelo de linguagem pode criar
00:01:49
descrições dos produtos com base na
00:01:51
características de um item.
00:01:53
Deep learning O deep learning também é um
00:01:56
técnica poderosa em IA generativa.
00:01:58
É um campo de aprendizagem automática onde
00:02:00
As redes neurais profundas são usadas para
00:02:02
Extraia informações complexas de dados brutos.
00:02:04
Por exemplo
00:02:05
em marketing.
00:02:06
Estas redes podem analisar
00:02:08
fluxos de dados massivos para detetar
00:02:11
tendências e preferências dos consumidores.
00:02:13
Aprendizagem por reforço.
00:02:14
Esta técnica é inspirada
00:02:16
pela psicologia comportamental.
00:02:18
Envolve o treinamento de um modelo de IA para
00:02:20
Tome decisões recompensando positivas
00:02:22
ações e penalização negativas.
00:02:25
Por exemplo
00:02:26
na publicidade online,
00:02:27
Um modelo pode aprender a otimizar o anúncio
00:02:29
despesas baseadas em resultados anteriores.
00:02:31
Estas técnicas são apenas algumas
00:02:33
exemplos do poder da IA generativa.
00:02:35
Ao combiná-los adequadamente,
00:02:37
podemos criar sistemas avançados de IA
00:02:39
capaz de reinventar a forma como
00:02:41
fazer publicidade e marketing.
00:02:42
Agora vamos ver como generativo
00:02:44
A IA é usada na prática.
00:02:46
As candidaturas são inúmeras.
00:02:48
Por exemplo
00:02:49
A publicidade personalizada é
00:02:50
um dos mais poderosos.
00:02:52
As empresas podem utilizar os dados dos clientes,
00:02:54
tais como as suas preferências de compra
00:02:56
e histórico de navegação para gerar
00:02:58
anúncios feitos sob medida.
00:03:00
Isto significa que cada anúncio é
00:03:02
concebidos para maximizar a relevância,
00:03:03
aumentando assim as chances de conversão.
00:03:06
Vejamos um exemplo concreto.
00:03:09
Imagine que você é uma empresa de varejo online.
00:03:11
Você tem um cliente, Lisa,
00:03:13
que visualizaram recentemente o running
00:03:14
sapatos no seu site.
00:03:15
Com IA generativa,
00:03:17
você pode criar um anúncio personalizado para Lisa.
00:03:20
Ela verá este anúncio quando
00:03:22
ela navega em sites parceiros,
00:03:23
aumentando a probabilidade de que ela
00:03:25
Clique no anúncio e faça uma compra.
00:03:27
Isso mostra como a IA generativa pode
00:03:29
Transforme cada toque do cliente
00:03:31
aponte para uma oportunidade de conversão.
00:03:33
Agora que já explorámos o básico,
00:03:35
Vamos ver como pode candidatar-se
00:03:37
os princípios da generatividade
00:03:38
IA no seu próprio trabalho de marketing.
00:03:40
Aqui estão os principais passos a seguir.
00:03:42
O primeiro passo é recolher dados relevantes,
00:03:44
se são as preferências do cliente,
00:03:47
dados comportamentais ou informações sobre produtos.
00:03:49
Em seguida, você treina um modelo de IA generativa
00:03:52
adaptado às suas necessidades específicas.
00:03:54
A IA generativa é uma revolução para o marketing.
00:03:56
Oferece formas poderosas de
00:03:58
personalizar anúncios,
00:03:59
gerar conteúdo de alta qualidade,
00:04:01
e otimizar campanhas
00:04:02
para resultados excecionais.

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résultat(s)
00:00:05
Benvenuto in questo video di formazione
00:00:06
sull'uso dell'IA generativa
00:00:08
nella pubblicità e nel marketing.
00:00:10
In questa sessione, approfondiremo
00:00:12
nell'affascinante mondo di
00:00:14
AI generativa e scopri com'è
00:00:16
rivoluzionando il campo del commercio.
00:00:18
Cominciamo con la comprensione
00:00:20
cos'è l'IA generativa.
00:00:22
L'intelligenza artificiale generativa è
00:00:24
una tecnologia avanzata che consente
00:00:26
computer da creare autonomamente
00:00:28
contenuti utilizzando modelli preformati e
00:00:30
dati per generare risultati creativi.
00:00:33
A differenza dell'IA tradizionale che
00:00:34
segue regole rigide,
00:00:36
l'IA generativa è in grado di
00:00:38
produrre opere uniche e creative.
00:00:40
In un ambiente in cui la pubblicità
00:00:42
le spese stanno crescendo in modo esponenziale,
00:00:43
le aziende devono innovare per distinguersi.
00:00:46
È qui che entra in gioco l'IA generativa.
00:00:48
Offre la possibilità di creare
00:00:51
contenuti pubblicitari altamente personalizzati,
00:00:53
ottimizzare le campagne in tempo reale,
00:00:55
e coinvolgere maggiormente i clienti
00:00:56
in modo efficace come mai prima d'ora.
00:00:58
Ora esploriamo i diversi generativi
00:01:01
Tecniche di intelligenza artificiale che rivoluzionano il
00:01:03
campo del marketing e della pubblicità.
00:01:05
Ecco alcuni dei più
00:01:07
potenti metodi a nostra disposizione,
00:01:09
Generative Adversarial Networks Geons,
00:01:11
I jans sono una delle pietre miliari
00:01:14
dell'IA generativa.
00:01:16
Sono costituiti da due reti neurali,
00:01:18
un generatore e un discriminatore,
00:01:20
che competono in una partita avversaria.
00:01:23
Il generatore crea dati come
00:01:25
come immagini mentre è il discriminatore
00:01:27
cerca di distinguere queste generate
00:01:29
dati da dati reali.
00:01:30
Nel tempo,
00:01:31
il generatore migliora continuamente
00:01:34
produrre dati indistinguibili dalla realtà.
00:01:36
Un linguaggio preformato ne modella un altro
00:01:39
elemento essenziale dell'IA generativa.
00:01:41
Questi modelli sono in grado di comprendere
00:01:44
e generando testo contestualmente.
00:01:46
Ad esempio
00:01:47
un modello linguistico può creare
00:01:49
descrizioni dei prodotti basate su
00:01:51
caratteristiche di un articolo.
00:01:53
Deep learning Il deep learning è anche un
00:01:56
potente tecnica di intelligenza artificiale generativa.
00:01:58
È un campo dell'apprendimento automatico in cui
00:02:00
le reti neurali profonde sono utilizzate per
00:02:02
estrarre informazioni complesse da dati grezzi.
00:02:04
Ad esempio
00:02:05
nel marketing.
00:02:06
Queste reti possono analizzare
00:02:08
enormi flussi di dati da rilevare
00:02:11
tendenze e preferenze dei consumatori.
00:02:13
Apprendimento per rinforzo.
00:02:14
Questa tecnica è ispirata
00:02:16
dalla psicologia comportamentale.
00:02:18
Implica l'addestramento di un modello di intelligenza artificiale per
00:02:20
prendere decisioni premiando persone positive
00:02:22
azioni e penalizzazione di quelle negative.
00:02:25
Ad esempio
00:02:26
nella pubblicità online,
00:02:27
un modello può imparare a ottimizzare gli annunci
00:02:29
spesa basata sui risultati passati.
00:02:31
Queste tecniche sono solo alcune
00:02:33
esempi del potere dell'IA generativa.
00:02:35
Combinandoli in modo appropriato,
00:02:37
possiamo creare sistemi di intelligenza artificiale avanzati
00:02:39
capaci di reinventare il modo in cui
00:02:41
facciamo pubblicità e marketing.
00:02:42
Ora vediamo quanto è generativo
00:02:44
L'IA viene utilizzata nella pratica.
00:02:46
Le applicazioni sono numerose.
00:02:48
Ad esempio
00:02:49
la pubblicità personalizzata è
00:02:50
una delle più potenti.
00:02:52
Le aziende possono utilizzare i dati dei clienti,
00:02:54
ad esempio le loro preferenze di acquisto
00:02:56
e la cronologia di navigazione da generare
00:02:58
annunci pubblicitari su misura.
00:03:00
Ciò significa che ogni annuncio è
00:03:02
progettato per massimizzare la pertinenza,
00:03:03
aumentando così le possibilità di conversione.
00:03:06
Vediamo un esempio concreto.
00:03:09
Immagina di essere un'azienda di vendita al dettaglio online.
00:03:11
Hai un cliente, Lisa,
00:03:13
chi ha visto di recente correre
00:03:14
scarpe sul tuo sito web.
00:03:15
Con l'intelligenza artificiale generativa,
00:03:17
puoi creare un annuncio personalizzato per Lisa.
00:03:20
Vedrà questo annuncio quando
00:03:22
naviga sui siti web dei partner,
00:03:23
aumentando la probabilità che lo faccia
00:03:25
clicca sull'annuncio ed effettua un acquisto.
00:03:27
Questo dimostra come l'IA generativa può
00:03:29
trasformare ogni tocco del cliente
00:03:31
trasformalo in un'opportunità di conversione.
00:03:33
Ora che abbiamo esplorato le basi,
00:03:35
vediamo come puoi candidarti
00:03:37
i principi del generativo
00:03:38
L'intelligenza artificiale nel tuo lavoro di marketing.
00:03:40
Ecco i passaggi chiave da seguire.
00:03:42
Il primo passo è raccogliere dati pertinenti,
00:03:44
che si tratti delle preferenze del cliente,
00:03:47
dati comportamentali o informazioni sul prodotto.
00:03:49
Quindi si addestra un modello di intelligenza artificiale generativa
00:03:52
su misura per le tue esigenze specifiche.
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L'IA generativa è una rivoluzione per il marketing.
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Offre potenti modi per
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personalizzare gli annunci pubblicitari,
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generare contenuti di alta qualità,
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e ottimizzare le campagne
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per risultati eccezionali.

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résultat(s)
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Добро пожаловать в это обучающее видео
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об использовании генеративного ИИ
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в рекламе и маркетинге.
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На этой сессии мы углубимся
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в увлекательный мир
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генеративный искусственный интеллект и узнайте, каково это
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революционизирующий сферу торговли.
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Давайте начнем с понимания
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что такое генеративный ИИ.
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Генеративный искусственный интеллект — это
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передовая технология, позволяющая
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компьютеры могут автономно создавать
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контент с использованием предварительно обученных моделей и
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данные для получения творческих результатов.
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В отличие от традиционного искусственного интеллекта, который
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следует строгим правилам,
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генеративный ИИ способен
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создавать уникальные и креативные работы.
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В среде рекламы
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расходы растут в геометрической прогрессии,
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чтобы выделиться, предприятиям необходимо внедрять инновации.
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Именно здесь в игру вступает генеративный искусственный интеллект.
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Он дает возможность создавать
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высокоперсонализированный рекламный контент,
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оптимизация кампаний в реальном времени,
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и больше привлекайте клиентов
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эффективно, чем когда-либо прежде.
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Теперь давайте рассмотрим различные генеративные
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Технологии искусственного интеллекта, революционизирующие
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область маркетинга и рекламы.
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Вот некоторые из самых
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мощные методы в нашем распоряжении,
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Генеративные состязательные сети,
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Джинсы — один из краеугольных камней
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генеративного искусственного интеллекта.
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Они состоят из двух нейронных сетей,
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генератор и дискриминатор,
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которые соревнуются в состязательной игре.
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Генератор создает такие данные
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в виде изображений во время действия дискриминатора
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пытается отличить эти сгенерированные
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данные от реальных данных.
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Со временем
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генератор постоянно совершенствуется до
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производить данные, неотличимые от реальности.
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Предварительно обученный язык моделирует другой
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важнейший элемент генеративного искусственного интеллекта.
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Эти модели способны к пониманию
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и контекстуальное генерирование текста.
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Например,
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языковая модель может создать
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описания продуктов на основе
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характеристики товара.
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Глубокое обучение Глубокое обучение — это также
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мощная техника в генеративном искусственном интеллекте.
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Это область машинного обучения, где
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глубокие нейронные сети используются для
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извлечение сложной информации из необработанных данных.
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Например,
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в маркетинге.
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Эти сети могут анализировать
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огромные потоки данных для обнаружения
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тенденции и предпочтения потребителей.
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Обучение с подкреплением.
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Эта техника вдохновляет
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поведенческая психология.
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Она включает в себя обучение модели искусственного интеллекта
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принимайте решения, поощряя позитив
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действия и наказание за негативные.
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Например,
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в онлайн-рекламе,
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модель может научиться оптимизировать рекламу
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расходы, основанные на прошлых результатах.
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Этих методов — всего несколько
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примеры силы генеративного искусственного интеллекта.
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Правильно комбинируя их,
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мы можем создавать передовые системы искусственного интеллекта
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способный заново изобрести то, как мы
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занимаемся рекламой и маркетингом.
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Теперь давайте посмотрим, насколько это генеративно
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ИИ используется на практике.
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Применений много.
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Например,
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персонализированная реклама — это
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одна из самых мощных.
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Компании могут использовать данные клиентов,
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например, их покупательские предпочтения
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и историю просмотров для создания
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персонализированная реклама.
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Это означает, что каждое объявление
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разработано для максимальной релевантности,
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тем самым повышая шансы на конверсию.
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Давайте рассмотрим конкретный пример.
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Представьте, что вы — компания, занимающаяся розничной торговлей через Интернет.
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У вас есть покупатель, Лиза,
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который недавно смотрел бег
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обувь на вашем сайте.
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С генеративным искусственным интеллектом
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вы можете создать персонализированную рекламу для Лизы.
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Она увидит это объявление, когда
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она просматривает сайты партнеров,
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повышая вероятность того, что она это сделает
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нажмите на объявление и совершите покупку.
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Это показывает, насколько искусственный интеллект может генерировать
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трансформировать каждый контакт с клиентом
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превратите точку в возможность конверсии.
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Теперь, когда мы изучили основы,
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давайте посмотрим, как вы можете подать заявку
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принципы генеративного
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ИИ в вашей собственной маркетинговой работе.
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Вот основные шаги, которым необходимо следовать.
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Первый шаг заключается в сборе соответствующих данных,
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будь то предпочтения клиентов,
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поведенческие данные или информация о продукте.
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Затем вы обучаете генеративную модель искусственного интеллекта
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адаптированная к вашим конкретным потребностям.
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Генеративный искусственный интеллект — это революция в маркетинге.
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Он предлагает эффективные способы
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персонализировать рекламу,
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генерировать высококачественный контент,
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и оптимизируйте кампании
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для достижения исключительных результатов.

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Mandarine AI: CE QUI POURRAIT VOUS INTÉRESSER

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