Generative AI examples are growing rapidly as generative AI moves toward mainstream adoption. Examples are found in nearly every industry, from healthcare to cybersecurity.
Generative AI examples are rapidly growing as this emerging AI technology quickly gains adoption. Already, generative AI examples are found in industries ranging from healthcare to manufacturing to finance to marketing.
Additionally, examples of generative AI tools are also growing, as developers work to evolve the original technology to create new software.
Why is it so popular? Generative artificial intelligence is a technology used to generate new content based on previous data. Current generative AI tools enable users to develop new images, text and more by inputting data.
In this guide, we’ll discuss examples of generative AI throughout key industries, as well as example of generative AI tools that are moving this new technology forward.Generative AI Examples for Key Industries
Whether ChatGPT or Bing AI, generative AI tools have many use cases across critical industries such as education, finance and advertising.Healthcare
Healthcare is an industry ripe for change. And many healthcare organizations are currently implementing generative AI in various ways. For example, generative AI can be used by physicians to develop custom care plans for patients that will improve health outcomes.
Another healthcare use case for generative AI is the improvement of images resulting from MRI, CT and PET scans. Current AI tools can slightly edit patient scans to improve their quality and speed up rendering, resulting in faster response times to injuries.Manufacturing
Another industry that will benefit from the use of generative AI is manufacturing. For example, generative AI algorithms can be used to generate product ideas based on certain specifications. In many cases, this process is much faster than the traditional design process which must be completed manually.
Generative AI is also useful for processes such as predictive maintenance. Algorithms can detect and alert leaders when machines or equipment may need part maintenance before breakdowns occur. This prevents costly downtime for manufacturers.Agriculture
The agriculture industry can also benefit from the predictive maintenance capabilities enabled by AI algorithms. However, other use cases exist specific to farming.
For example, agriculture leader John Deere has used AI to train field cameras to recognize bad plants during harvest. Algorithms then instruct the equipment to remove the bad plants, improving overall yields.
Other use cases involve using images to report on the state of crops in the field and using satellite data to predict future weather patterns.Finance
The finance industry is currently harnessing the power of generative AI, with Bloomberg recently unveiling its own AI model, BloombergGPT.
Various use cases exist for generative AI in the finance sector. For example, in banking, AI chatbots can support bank customers through financial transactions. In investing, generative AI tools can analyze financial data and prepare insights and financial strategies to consider.Education
In education, generative AI can be used to develop custom learning plans for students based on their grades and overall understanding of various subjects.
