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AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Creative asset image creation

Introduction

The development of AI has brought about new issues in the area of content creation especially in as far as data, ethics and the human factor is concerned. The more dependence being placed on AI in content creation has its advantages but at the same time, it poses serious threats such as data privacy, bias and ethical issues in the decisions made by AI. These challenges have to be addressed so that the integrity, relevance, and the long-term viability of AI-enabled content creation can be ensured. The following article identifies the main challenges of AI-enabled content creation related to data ethics, bias, and the role of humans, and suggests the solutions to these challenges.

Challenges

There are numerous barriers that the marketing industry encounters in the creation of creative asset images and these include; the need for specific, made to order, high quality graphics. The major challenge is that these assets are not easy to develop as they require a lot of time and effort to be created by hand. Another issue is the difficulty of maintaining brand standards throughout all the assets, which can be particularly problematic for big companies. Other hurdles include; the ability to discern and align with new trends in design, the ability to design unique visuals for each group of viewers, and the challenge of affording the cost of a professional graphic designer or out sourcing the work.

AI Solutions

These challenges are being met by Gen AI solutions in the following ways. There is for instance Adobe Sensei that uses Artificial Intelligence and Machine Learning to automate and accelerate the design process. They can generate several versions of an image which enables the marketers to compare and contrast between different designs. It can also assist in the management of brand standards by developing a brand ‘style guide’ and ensuring that all created assets adhere to it. In addition, AI can use consumer information to forecast design trends and generate unique visuals. For instance, the AI in Canva’s platform helps the users to find design templates that are most likely to suit their needs based on the data that the AI has collected. Also, AI-enabled services such as Daz 3D help marketers to generate real looking 3D images without having to be a design expert.

Benefits

There are many benefits of using Gen AI in creative asset image creation. It is efficient in the sense that it frees up a lot of time and resources that would have been used in designing, thus allowing marketers to attend to strategies. It also helps in maintaining the brand identity of any company thus increasing the brand recognition. As AI has the ability to analyze consumer data it can come up with more relevant visuals that would be appealing to the target audience thus increasing the engagement rates. Another benefit of AI is that it makes design accessible to everyone including those who are not designers and small businesses with minimal funds. Furthermore, since AI can forecast trends, marketers are able to know what is likely to come and hence avoid being left behind.

Return on Investment

When it comes to creative asset imaging, the benefits of using Gen AI to humanize the following original text in its language are immense. By performing design tasks, businesses can reduce on the amount of money they spend to hire professional designers or outsource the work, at the same time decreasing the time it takes to bring their products to market. Thus, the enhancement of brand consistency can enhance brand awareness and build a loyal customer base, increasing customer lifetime value. Customized visuals can help to get higher engagement rates thus improving conversion rates and total revenue. And with the help of design trends, organisations can always remain relevant in the market hence boosting their profitability in the long run.

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