Top generative ai examples and applications in different industries

One can use generative AI to develop new visual, written, or audio content, summarize complex data, generate code, automate repetitive tasks, or make customer service more personalized. In this blog, we will explore top generative AI examples and applications in different industries.

What is Generative AI? Generative AI is a subfield of artificial intelligence which is designed to develop special texts or images in response to user efficiency. This technology applies to deep learning models that can make high-quality text, images, and other content. AI engineers teach this technology to use large data sets, which the model consults when finding out the best possible answer to a prompt. Generative AI course is another form of predictive artificial intelligence. Generative AI predicts which words and in which order will give the best answer according to the given information. Let us explore some of the top generative AI examples and their applications across industries.Generative AI Examples

Generative AI is a form of predictive artificial intelligence. According to the information given, this technology will predict which words and in which order will give the best answer to the user’s prompts. We might have heard some of the generative AI examples that are common:

• ChatGPT or DALL-E

This generative artificial intelligence model is created by OpenAI, which is a Microsoft-backed, limited company. Its mission is to create artificial intelligence to serve humans.

• Google Bard

Google’s generative AI combining with Google products like Google Lens and Gmail, this is operated with a language model known as PaLM-2. This was trained on the largest data set out of all generative AI models which were available at the time of its release.

Applications of Generative AI

This technology has applications in various industries like healthcare, manufacturing, software development, financial services, media and entertainment, and advertising and marketing. Let us explore some of the different ways professionals use generative AI in their field.

1. Advertising and Marketing

Generative artificial intelligence provides things like creating images and texts that are needed for marketing or looking for new ways to communicate with customers. It provides solutions to professionals working in advertising and marketing. Let us read some of the generative AI applications in advertising and marketing:

• It is used to generate marketing text and images, which is further used in marketing campaigns.

• This technology aids in generating personalized recommendations which helps customers discover new products. Generative AI processes are more interactive for customers.

• It is used to create product descriptions, which are otherwise tedious and time-consuming.

• For example, ChatGPT or Bard recommends changes for you to make content and improve the company’s ranking.

• It improves search engine optimization.

1. Healthcare and Pharmaceuticals

Generative AI has applications in healthcare and pharmaceutical industries as well. From discovering and developing new life-giving medicine to personal treatment plans for every patient and creating predictive images for telling progression. Let us read some of the possibilities for generative AI in healthcare:

• It enhances medical images like X-rays or MRIs, combines images, rebuilds images, and creates reports about images.

• Generative AI also generates new images to exhibit the progress of disease in time.

• Scientists can use this technology to discover new drugs.

• It simplifies tasks with patient notes and information.

• This technology can consider a large amount of patient information, involving medical images, and genetic testing, for delivering a personalized treatment according to the patient’s needs.

1. Manufacturing

Professionals can use generative AI to look for ways to improve efficiency and predict maintenance needs before they create problems. This technology helps engineers develop ideas for creating better designs faster and making a strong supply chain. Some of the manufacturing solutions are:

• It helps accelerate the design process.

• This technology provides smart maintenance solutions for equipment.

• It also improves the supply chain by speaking conversationally with the technology to sort a vast amount of communicable and product data.

1. Financial Services

Generative AI in the financial services industry involves AI investment strategies, drafting documentation, and monitoring regulatory charges.

• Through generative AI, one can create investment strategies.

• With this technology, one can communicate and educate clients and investors.

• This technology can quickly draft documentation and monitor regulations.

1. Media and Entertainment

Generative AI could enhance media and entertainment by generating unique content. This technology can help in creating and editing visual content, creating short highlight videos of sporting events, and working with content management.

• This technology can create audio and visual content, which helps make visual content faster and easier. One can add visual effects, add graphics, or streamline editing.

• For example, fans could create highlights of a particular play or a tournament series.

• Through this technology, one can generate highlights for sports and events.

• One can manage tags for better content management through this technology.

Final Words On AI Examples and Applications In Different Industries

We hope this blog helps you understand more about generative AI examples and applications in different industries. Companies are using this technology in various ways to create new content. Generative AI is making a very big impact in today’s world.

Hello, I am Robert, a technical content writer with a flair for words and a deep love for storytelling with an experience of 5 years.