Generative AI

Generative AI and its Applications

Generative AI has become increasingly popular within the last few years because of how it redefines content creation. With user input, it can automatically put out media that corresponds with and imitates what is provided to it. Despite the novelty of this technology and the potential security or ethical concerns, it’s a technology that shows promise.

What is Generative AI?

Generative AI is a type of technology that can synthesize a variety of content, including text, images, and audio.  Though the technology necessary for generative AI has existed since the ’60s, it wasn’t until the mid-2010s that generative adversarial networks (GANs) unlocked greater potential for this technology and have been applied to more practical uses.  It combines a number of other AI algorithms to produce  A generative AI model that starts with a prompt in the form of some existing text, imaging, video, audio, or any other physical input the AI can process.  After interpreting the data provided, it will proceed to regurgitate the information into the implemented medium.  Even after the most recent developments, generative AI is still in its nascent stages and can at most produce the most basic outputs.

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Use Cases



ChatGPT is a language model-based chatbot that has been active for almost a year as of writing and is incredibly popular with a bit of inherent controversy.   More importantly, it is versatile in the type of conversation it can have.  From articles to stories and even conversations, it can cover a number of topics and functions it has with the user.  More interestingly, it can also compose and debug segments of code, emulate a Linux system, or even play simple games with the user.  That doesn’t mean there aren’t limitations to the current models.  ChatGPT is still prone to hallucinations – instances where its response is not justified by the inputs – in the same way many large language models still are.  Additionally, some engineering methods can jailbreak the bot into unintentionally breaking its own content terms.  Regardless, its model is still being worked on and does open possibilities for what it could do.

AWS Bedrock

Amazon provides its users with a number of services for a variety of functions.  The AWS solution to generative AI is AWS Bedrock.  It’s a model that is contributed to by a number of the leading AI companies with the capabilities of generating what is required by the inputs and outputs it is connected to.  With the comprehensive capabilities of Amazon Bedrock, users can easily experiment with a variety of top foundation models, privately customize them with custom datasets using techniques such as fine-tuning and retrieval augmented generation (RAG), and create managed agents that execute complex business tasks without writing any code.  Because it’s a cloud service, users can take full advantage of the benefits AWS provides, such as scaling and serverless infrastructure.


CloudContactAI (CCAI) has been a gradual project of adding more features to make it the most extensive and adaptive multi-media marketing program on the market.  Most recently, we have begun implementing the email editor and email campaigns into the main features of what marketing tools users have access to.  The email campaign maker is also going to be the first feature to take advantage of generative AI functionality.  After opening the email builder to make a campaign from scratch or to make a template, users will be immediately presented with the option to build an email using a prompt.  If the user doesn’t want to manually construct the email, they can type in a number of concepts as the basic prompt for the model to work with.  After accepting the prompts, the generative AI will then write an abstract which the user can then continue to edit, implement other images, links, and features to the email, or accept as is.

Closing Thoughts

For the longest time, we have been looking for ways to implement generative AI into one of CCAI’s features.  It’s a marketing platform where understanding customer trends is made easy and generating content is made to be as simple as possible.  If you’re interested in how generative AI can be implemented into your marketing strategy or are eager to get started with CCAI’s generative AI beta, you can learn more and sign up on the CCAI website.

Dolan Cleary

Dolan Cleary

I am a recent graduate from the University of Wisconsin - Stout and am now working as a web technician. Currently working within the marketing department.

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