Generative AI is currently the buzzword taking the world by storm for all the right reasons. This technology can generate different kinds of content from scratch, hence the term “generative” in it. Even though generative AI sounds highly sophisticated, using this technology is not arduous. Many users have already started reaping the benefits of generative AI, while others are trying to lay their hands on it.
The benefits of using generative AI are many. To begin with, it helps users to save time and increase budget efficiency through automation. Second, it can create personalized and targeted content for the users while following the instructions. Lastly, it can help its users to increase innovation and get inspiration. Even though the use cases and applications of generative AI know no limit, here is a list of seven useful generative AI use cases and applications.
1. Copywriting
Copywriting is the most common application of generative AI. Generative AI can offer its users a lot in writing, particularly copywriting. It can create better headlines and even the entire context or the body of the text. Most generative AI tools ensure high-quality writing results. In addition, one can also use generative AI to convert the content from English to Urdu.
It is why many believe that generative AI will replace the job of copywriters.
2. Image Generation
One of the critical visual applications of generative AI includes image production. Users can use generative AI to convert any text into images. Doing this conversion is as easy as translating Urdu to English using Google Translate. Also, users can give precise instructions to generative AI, like the setting of the image along with the subject and style, to create an image that can easily match their requirements. Later, depending upon the need, one can use these images for personal or commercial purposes.
3. Music Generation
There are numerous generative AI tools in the market which help the user in generating music. Undoubtedly, music is a crucial component in many advertisements. Marketers can use generative AI to create music and further optimize this music to meet the needs of a marketing campaign. Music-generating generative AI tools allow users to specify their requirements and preferences to tailor the music according to their tastes.
4. Early Identification Of Health Issues
Healthcare professionals can use generative AI to identify health issues at an early stage, which makes it possible to give early treatments to patients. The usefulness of generative AI in the healthcare industry comes from the fact that it can quickly revert MRI scans into CT scans. Furthermore, generative advertiser networks can create valuable content that can help one train and develop a model.
5. Text-to-Speech Generations
Generative AI also holds power to convert text into speech realistically. The use case of text-to-speech generation has many business applications. For example, an educator can use this feature to convert their lecture notes into audio materials, allowing the students to listen to the notes like a podcast. Additionally, generative AI can also do speech-to-speech conversion, which benefits the gaming and film industries.
6. Enhanced Customer Service
Conversational AI and chatbots are using generative AI to enhance customer service. Businesses can use generative AI in this segment to better understand customer queries and decrease the response time. Moreover, it also frees customer service support to engage in more serious tasks. The different ways through which generative AI can improve customer service include 24/7 service, quick response time and multilingual support.
7. Sentiment Analysis
Generative AI can help businesses with sentiment analysis by generating synthetic text data. It then enables the users to label the sentiments into different categories. Furthermore, it is also helpful in creating texts which house a particular sentiment per the user’s requirement. For example, social media marketers can use generative AI to write social media captions for posts with a specific feeling to influence the followers.
Other applications of generative AI include 3D shape generation, code generation, code review, bug fixing, data synthesis and course design. Consequently, the use cases of generative AI are prevalent in almost all the industries like healthcare, marketing, sales and education.
The multiple use cases of generative AI make it a very attractive technology. Therefore, individuals and businesses should buckle up to use generative AI to enhance their work.