EPE Partners is aware that Artificial Intelligence is here to stay and has already become a buzzword across industries. The creative designing industry is no exception. AI has made inroads into the creative designing industry and is increasingly being used to aid designers as they go about their work. It is important to note that while AI has tremendous potential, it is not yet ready to replace designers. The human element still continues to matter, and creativity still cannot be entirely replaced by machines or AI.
AI is becoming more capable than ever with the passage of time. Designers and developers are conversing on how AI might disrupt the industry in the future and how the nature of our jobs will change with the advent and widespread use of AI in the design field. AI will bring about new conversations being played out between customer and product. These new conversations will add to the ongoing interactions between consumers and businesses and what AI can and should do for products and services. However, designers will still bring the necessary empathetic and creative element to the interaction between consumer and brand.
AI is still being developed and using it will require designers to gather the relevant knowledge, skill, and expertise in order to best leverage this technology. It can be challenging to find designers that are proficient in using AI. Companies would need to allocate extra funds toward training their designers on using AI or towards hiring AI designing specialists.
Its now abundantly clear that huge amounts of data are being collected from a variety of sources. This data includes data in formats like text, image, audio, and video. There are also a wide range of platforms used to gather this data. However, for an AI system to understand and transform this data into useful results, there needs to be a baseline and relevant and appropriate data. This can be challenging to obtain and maintain.
Performing a seamless transition to incorporating AI into design workflows can be complicated. One needs to ensure that all the current programs are compatible with AI requirements and that the AI strategy is implemented without reducing current output. In addition, once all the AI components have been integrated, all the personnel using the AI will need to be trained.
While AI is good at identifying trends and making recommendations, it is not very useful at things like understanding nuances, reading emotions, and identifying biases in the data. These factors make it difficult to implement a fool-proof AI strategy into creating more personalized and relevant user experiences. However, there are ways to work around these weaknesses. You can send out surveys or questionnaires to gather more useful and relevant data on which to train your AI system.