“I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it.” ― Bill Gates
Generative AI is one of the apt solution that fit in perfectly with this famous quote. The birth and introduction of generative AI has tremendously impacted the traditional method for working in business environment.
However, this does not mean a lazy person can use generative person and work smartly. There are various aspects involved with the optimum usage of generative AI in various use-cases.
There is typically no limit to the industries where generative AI can find its application. From healthcare to technology and entertainment, there is something in store for generative AI. In this article, we will look at the 15 best applications of Generative AI across various different industries.
What is Generative AI?
Generative AI refers to the creation of content in various responses in response to certain prompts by the user. Generative AI can create content that can be in the form of text, pictures, videos, or in other forms as required by the users.
Generative AI brings to use massive systems with Machine Learning (ML) for continuously observing the changing trends. All these data and information are used together to predict and portray information that users want to see.
In simple words, generative AI is like a magical world that fulfills the expectations of the users with minimum efforts. A simple example here would be writing a 500 word article with help from ChatGPT. You get an amazing piece of content in a short duration while all you have to do is provide a self-explanatory prompt.
Must read: Primary advantage of using generative AI in content creation – to understand the all-round impact of generative AI in content creation
Applications of Generative AI
So, without much of a delay, let us get into the crux of the article. The 15 best examples for generative AI. We have differentiated various applications on the basis of their industries.
Software Development
With generative AI, coders and developers can develop codes faster. This is because generative AI provides you with quick access to codes. You need not write the entire code, instead just provide prompts to the system and get your results in a quick time. The different typical applications include-
Automated testing
Software testing is one of the most tedious part in the software development process. With generative AI, you can automate the testing process. Generative AI can learn the sequence of the software and predict how users will interact with the software. This helps in creating test scenarios and testing the functionality of the software in various cases.
Generating Code
With assistance from generative AI, software developers complete boding with ease. They can create, optimize, complete codes with ease. This helps in writing complex structures with ease. This is similar to the suggestive text that you must have seen while typing messages and mails. As soon as a developer starts typing a code, generative AI provide suggestions for the rest of the code.
Marketing
Next to software development, marketers rely on generative AI for a number of tasks. This could be as simple as generating content for social media posts or creating long videos and full-fledged articles. This not only increases the reach of the product among the users but also provides marketers with an unique approach to new audience. The top ways to use generative AI for marketing are as follows :
Auto-generate images and text
With generative AI you can generate images and text consistently. You can ensure that the generated content matches with your requirements by adjusting your prompts accordingly. In a survey by Gartner, it was stated that more than 30% of marketers will use generative AI for outbound marketing by 2025.
Personalize marketing campaigns
One key aspect in marketing is personalization. This can be based on the different demographics of various audiences that you target in you marketing campaign. With generative AI you can develop powerful campaigns that will align with the individual preference of audience. You can create a basic format and then use AI to personalize the campaign accordingly.
Personalize marketing campaigns
One key aspect in marketing is personalization. This can be based on the different demographics of various audiences that you target in you marketing campaign. With generative AI you can develop powerful campaigns that will align with the individual preference of audience. You can create a basic format and then use AI to personalize the campaign accordingly.
Enhance SEO activities
Marketers can develop unique meta tags and description for various pages with the help of generative AI. This helps you improve the overall performance of your website pages on SERP. Further, you can also look for suggestions and recommendations from AI to improve the overall functioning of the webpage.
Fintech
One key sector with the maximum potential for the incorporation of generative AI into its working is Fintech. The financial services industry is growing rapidly and adding new customers regularly. The application of generative AI can be in the following fields:
Automating document preparation and submission
Financial services includes documentation and paperwork. With assistance from generative AI, this process can be simplified and users can be provided with the necessary documents and paperwork. This eliminates the need for manual resources to provide users with such documents, thereby, making this process highly simple and quick.
Building investment strategies
Generative AI can help you complete investment strategies with ease. You can choose from a number of different strategies tailored for your specific interests. Additionally, by setting the investment criteria, AI can complete the transactions and trades quickly in comparison to human interactions.
Educating customers and investors
As new users get into the financial services industry, there is a need for education. This will improve the overall knowledge of the customers and open new avenues for increased investment. Further, generative AI can develop highly personalized educational content as per the behavior and past trends of particular users.
Entertainment
Media and entertainment revolves around one key aspect – creating new and unique content. Generative AI provides you with a number of different ideas and a few of them are listed below:
Manage libraries
Media and entertainment industry contains a vast collection of archives and other folders. With the help from AI you will can sort various files accordingly. This will help you in finding various files when you need them and with ease. With AI, you can store, manage, and access data with ease.
Automate highlights for events and sports
Generative AI can automatically prepare highlights for events and sports. This lowers the time and resources necessary in creating highlights. With predefined functionalities, you can use AI to build highlights. Further, you can delight your audience by providing them with such sneak peeks and highlights immediately after the event concludes.
Assist in creating content
With generative AI you will not be the ole person working on content creation. With suggestions and inputs from AI, you can quickly complete the content creation process. This will not only ensure that you do not run out of ideas but also complete the creation process quickly.
Healthcare
Generative AI is becoming quite prevalent in healthcare. There have been a number of various different application of generative AI in this field. Lets take a look at a top few in this section
Personalized treatment
One key aspect of generative AI is personalization. Generative AI helps in personalizing treatment for various patients. This helps in serving patients with ease and helps in genetic testing. With generative AI, healthcare professionals can design customized treatment plan for various medical disorders.
Discovering new drugs
Generative AI plays a key role in the research and discovery of new drugs and medicines for treating various ailments. With predictions and trend analysis, AI helps in the process of discovery of new drugs. Scientists and doctors can rely on generative AI to prepare drugs and medicines that will help in the quick healing process of the patients.
Understanding patient history and trends
With generative AI, there is always a backed up patient history. This will help you understand patient trends and analyze patient behavior and performance over different stages. This helps in preparing reports and providing solution to patients with ease. Further, medical staff need not assist patient individually on simple treatment, which helps them to focus on more critical tasks.
Things to consider while using Generative AI
Although Generative AI can help you in a number of tasks, there are still certain things you should be wary of. This section will cover those processes where you need to be a little bit extra careful when incorporation generative AI into your process.
Data leaks and security
Privacy is one of the key issue that comes up with generative AI. You cannot share upcoming product details with the system. This feeds the data to the server and makes it available for your competitors to view. Also, there are chances of personal information getting stored on the server without proper management.
Compliance issues
Most of the generative AI systems available right now are open-source. This makes it challenging for a governing body on such system. Because these AI platform are open-sources, the content created from this platform is not openly known. This makes the usage of such content debatable.
Incomplete research
AI platforms are trained with specific information and they engage in continuous training and learning. Although system tries to eliminate any miscommunication, there are chances for incomplete data that results in ineffective results. There are also chances that such incomplete research can result in errors ad mistakes in the overall business functioning.
Conclusion
Right through this article, we discussed the various applications of generative AI in different fields. Generative AI has been a transformation in the way businesses function. With the right assistance from AI, businesses can improve their performance to a great extent.
Further generative AI will help you reach the right audience and cater to their specific requirements. This will enhance your overall earnings and turnover considerably. However, you will have to be careful about specific aspects of the AI to ensure safety and continuous growth.
Frequently Asked Questions
Generative AI uses continuous Machine Learning (ML) system to understand user requirements and provide them with the closest human-like answer to incoming queries. Generative AI simplifies your work by providing you with suggestions and predictions related to the field you are working on.
Generative AI is beneficial for a number of different industries. This is useful for researchers working on the discovery of new drug, content creation for marketers, and even preparing documents and other details.
Generative AI is limited to issues pertaining to data leaks and security, compliance issues, incomplete and ineffective research, and in some cases are affected by inconsistent international laws.
About the Author
Aaron Jebin
Aaron Jebin is an enthusiastic SAAS technical content writer interested in writing for new and existing technologies, platforms, and tools. With an experience of over 4 years in technical writing, he is keenly focused on developing articles to provide readers with complete solutions to the common problems that arise in the everyday workplace. His writing mostly focused on team building, work ethics, business analysis, project management, automation, AI, customer and employee engagement methodologies. He has an interest in baking cakes and making stained glass art. He is currently honing his drifting skills.
