The burgeoning field of ADI (artificial design intelligence) is leading to a sea change in the way websites are designed. In a traditional environment, the design process for procuring a good interface for optimized UX requires lots of creativity–especially when it comes to keeping it unique. It is possible that no machine will ever be able to mimic the prodigious creative abilities of the human mind. However, AI can mimic rules, and so may eventually be able to subvert convention, then evaluate the results. After all, innovation is about breaking rules and seeing what works. ADI may be on the verge of not just applying programmed rules, but learning and applying new rules as the occasion arises.
This entails a revolutionary way to save time and money conducting UX enhancement. AI can also be used for website diagnostics. While AI is typically deployed for improving the functionality and user experience of web design, it can also work as a precision diagnostic tool. In this new era of modern web design–with rapidly changing trends and stricter standards of search engines, the quality of a web-page’s design is a key determinant of the success of any on-line venture. Such tools also help to ensure a site is maintained by periodically running tests. When conducted by humans, such tests are not only time consuming, but often hamper website performance.
AI-powered analytics enables one to assess the quality of one’s designs, observe how they perform in real-time, and gain real insights on how to refine them. AI-based diagnostic tools enable one to effectively eliminate the need for A/B testing and get better site design results.
On-line businesses often require new designs to supplement their product launches or upcoming events. An AI working in the background is a way to stay updated and remain competitive in the market. The AI operates by collecting information on website analytics, user-base, product / service offerings, etc. Once the data is collected and parsed, the AI can take instructions from humans on stylistic preferences to create a novel design that is optimized for any set of conditions.
The pivotal role of machine learning in website design is becoming more apparent with growing automation needs, and the need to deal with more and more information in an expedient way. The potential of AI to understand creative rules and use them independently in a multitude of design dynamics will soon eclipse traditional web-design methodology.