Design isn’t simply a creative process; it’s also an industrial discipline that allows businesses in a variety of industries to improve the quality of their products or produce unique goods that match their consumers’ wants.
If you have a large team of designers, a complicated design process, or a significant number of custom-designed goods, design process automation may make sense. The following are some examples of industries:
Gaming
Construction & Architecture
Advertising and Creative
Arts
Photography
AI can automate design pipeline steps, removing design bottlenecks, lowering costs, and shortening development time.
When it comes to automating your design processes, there are a few things to keep in mind.
Data Gathering
Previous Designs' Data is collected in a Centralized system with an uniform Data stream.
Pre-processing of Data
The Data is converted into a format that may be used to train a model. Data Annotation, Cleansing and Organizing are examples of pre-processing
Training of Model
A curated Data Collection is used to train a model to learn a set of Design guidelines that can be applied to fresh Data Sets that have never been seen before.
Output
The model can now create new designs and deploy them via an API