Skip to main content

Generative AI in Digital Marketing – Replacing Human?


Generative AI has been making buzz in almost every industry and there is no surprise that it has already made its foray into marketing and branding, to be specific, in digital marketing industry. It is not unknown what generative AI can do. It generates original content without any plagiarism or copyright infringement. Its capability is not limited to text, but it can generate images, music, and much more.

Digital marketing is a content driven industry and it heavily relies on high volume of text, visuals and background scores for different marketing activities. Therefore, scalability has always been a matter of concern considering high competition and ever-changing dynamics of digital space. To make the matter worse, in the recent past, the business world has witnessed a constant and drastic change in consumer behaviour which keeps shifting from one extreme to another.

Social media consumes the major portion of time spent by the target audience and companies or marketing and branding teams have to constantly work hard towards keeping the audience engaged through various types of communications. They have to keep pace with competition, while at the same time, maintain creativity and be innovative in their social media posts, blog articles, website content with appealing visuals and stories.

The scalability issue has been solved by Generative AI to a large extent. However, it can only produce content, visuals, and background music based on the training data used for building the models. Moreover, it does lack human emotion and creativity that only human can offer to another. Another important aspect that Generative AI is yet to master is the context, although it has made a great improvement in this area.

So, generative AI is definitely a great aid to digital marketers when it comes to creating engaging content, visuals and music for different posts such as social media posters and videos and blog articles, especially when it comes to high volume with quick turnaround. It also helps in customization of messages and comments to offer personalized experience to the target audience. Chatbots have recently become more efficient in responding to customers’ queries with personalized messages.

But can we say that generative AI will completely replace humans in digital marketing? Well, it may be far from reality at the moment. Humans are quite touchy and emotional beings. Feelings are quintessential in human interactions. AI tools, no matter how well trained, can never acquire this one faculty. At the most, they can be trained on more quality data and even then, human behaviour can be quite difficult to predict by a machine. Machine can only respond based on data and facts, while humans use their past experience, emotion, feelings and intellectual judgement during their interaction.


Generative AI – a boon or a curse!

What is ChatGPT?



Labels:

Comments

Post a Comment

Popular posts from this blog

Metaverse needs better technology, scalable infra, strong governance

Many minds have been intrigued by the idea of metaverse, and its effect is such that the social media giant like Facebook has been rebranded as Meta. Yet, there is a big question mark on the future of this technology. The enablers of metaverse such as augmented reality, mixed reality and virtual reality operating on computers, smartphones and other devices have failed to give the complete real-world like immersive experience to end users. There is a clear lack of standard virtual environment and technical specifications for implementing metaverse  –  a bottleneck in using technologies from different proprietors. Due to the business privacy and transparency concerns, interoperability of services from various providers has become a big challenge. Although, the efforts to standardize virtual reality, such as Universal Scene Description, glTF and OpenXR may help in a long run, but a lot more needs to be put in.  The technologies and devices, such as wireless he...
Post a Comment
Read more

What is ChatGPT?

Introduction ChatGPT is a language model developed by OpenAI based on the GPT-3.5 architecture. It is designed to perform various natural language processing tasks such as language translation, text summarization, question-answering, and chatbot interactions. In this blog, we will discuss ChatGPT, its architecture, applications, and benefits. Architecture ChatGPT is based on the GPT-3.5 architecture, which is an extension of the GPT-3 architecture. The model has 175 billion parameters, making it one of the largest language models available. The architecture consists of 96 transformer blocks with a hidden size of 12,288 and 10 attention heads. The model is trained using a combination of unsupervised and supervised learning techniques. Applications ChatGPT has a wide range of applications in various fields such as healthcare, finance, customer service, and education. Some of the applications of ChatGPT are as follows: Language translation: ChatGPT can translate text from one language to ...
Post a Comment
Read more

Exploratory Data Analysis

  Lab_D_2_RM Asmi Ariv 2022-10-14 Exploratory Data Analysis In this lab, we will go through various steps to explore a dataset using descriptive statistics, summary of data, different graphs, etc. Factor Variables (try the following in R): data = read.csv( "patient.csv" );data #Reading patient data ## Patient Gender Age Group ## 1 Dick M 20 2 ## 2 Anna F 25 1 ## 3 Sam M 30 3 ## 4 Jennie F 28 2 ## 5 Joss M 29 3 ## 6 Don M 21 2 ## 7 Annie F 26 1 ## 8 John M 32 3 ## 9 Rose F 27 2 ## 10 Jack M 31 3 data$Gender #It is a string/character variable ## [1] "M" "F" "M" "F" "M" "M" "F" "M" "F" "M" data$Gender = factor(data$Gender,levels=c( "M" , "F" ), ordered= TRUE ) #...
Post a Comment
Read more