Generative AI In Marketing: 5 Use Cases

If you want to learn how generative AI can be leveraged for your company, consider our CX AI jumpstart. Financial institutions can use generative AI to perform in-depth analyses of customer spending behaviors, providing the insights needed to create tailored recommendations and customized products. It can also be used to improve accessibility and “mirror” the tone and conversation style of a customer in communication channels, leading to increased customer satisfaction. The potential use cases for generative AI in finance are endless, and if you want to learn more how Vic.ai can help your business, schedule a call.

The tool uses advanced generative models to create unique and visually stunning art pieces. While specific details about the underlying architecture are not publicly available, the quality of the generated art suggests the use of sophisticated generative models, possibly including variants of GANs or VAEs. Midjourney’s creations have been used in digital art exhibitions and as visual elements in digital media.

Connect the AI model to your customer support workflow

It can be used to analyze customer messages or other communications for signs of fraudulent activity, such as phishing attempts. This can be done through image generation to create visual content, text generation to create scripts or storyboards, and music generation to create soundtracks. Companies are using Generative AI to help customers, make work easier, and analyze data. Healthcare benefits from faster drug discovery, while finance uses it for personalized advice. Acumen predicts that the Generative AI market will grow and be worth $110.8 billion USD by 2030. Company used technology to create a unique piece of art called “The Ultimate AI Masterpiece” to project it onto its 8 Series Gran Coupe line.

For instance, NVIDIA’s Picasso service is a cloud-based generative AI model that creates high-resolution, photorealistic images, videos, and 3D content. For example, generalized AI can quickly and accurately create images and videos, which may be used in marketing campaigns or other projects. ChatGPT and other similar generative tools with their natural language processing (NLP) can generate personalized content for your customers based on their preferences, past behavior, and demographics. This can help you create targeted content that resonates with your audience, which can lead to higher engagement and conversion rates.

#7 Cookieless marketing

AI models can analyze existing content, learn patterns, and generate unique, high-quality text miming human writing style. This use case saves time and resources for businesses that require a constant stream of engaging content. It is advancing computer vision by enabling the creation of new images and videos that are almost indistinguishable from human-generated content. This technology is being used in fields like fashion, interior design, and advertising to create realistic product images and marketing campaigns.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

With many of these tools, an actual human does not need to go on camera, edit footage, or even speak in order to create believable content. The generative AI tools can be configured to know the customer’s personalized choices, which then helps understand their changing clothing demands. Here machine learning and probabilistic programming can play a key role in determining customer desires and generating personalized choices of designs and products for targeted customers. Having trained over huge volumes of data sets, generative AI tools such as ChatGPT can now generate texts by following proper grammar, tense, and wording rules. This generated content is most beneficial for companies, such as for marketing propaganda to generate ads, social media posts, and scripts for marketing purposes. Generative AI is a branch of artificial intelligence that focuses on the creation of new and original content.

Stripe is also helping OpenAI and several other generative AI companies better monetize their products with Stripe Billing, Stripe Checkout, Stripe Tax, Revenue Recognition, and Link. These tools help OpenAI, Runway, Diagram, Moonbeam, and other generative AI companies create a smoother subscription and checkout process for customers, all while managing compliance and finances for the AI companies. Accenture, a major consulting firm, is using generative AI to help its clients create smarter business strategies, roadmaps, and operations.

It enables subject matter experts and executives to grasp essential information quickly. It uses advanced NLP techniques to identify key themes and ideas in the text and create accurate summaries. Using Firefly, you can create designs across Creative Cloud, Document Cloud, Experience Cloud, and Adobe Express workflows.

Art and Design

In some cases, generative AI might even be able to remediate such issues with minimal human intervention. An AI model is the actual algorithm that processes and analyzes the ingested data. Software applications can then use the AI model to produce output in response Yakov Livshits to user requests. With the help of Generative AI, personalized treatment plans can also be recommended based on a patient’s medical history, genetics, and lifestyle. As a result, adverse reactions can be reduced, and treatment effectiveness can be improved.