AI AND UX: AN OVERVIEW OF THIS NEWLY FORMED RELATIONSHIP
Mentoring AI The AI can easily identify and analyze unbelievably large volumes of data in a short time. Along with extra information that includes questions, business rules and even meta data, which will help them to understand the concept very well. When you work through the design as well as the UX research stages, keep on filtering the points that you try to incorporate, which will further help in honing the data surfaces that are analyzed by the AI.
Information Architectures AI’s role is to help connect content which is done by identifying content and data trends that are more prevalent. AI is very helpful at identifying use cases or data trends that are trending, which cannot be actually located by the human eye. Machine-generated AIs are wow and awesome. But, there are certain things for which we cannot depend on AIgenerated results.
Humans enter the scenario ď‚´ Data is an important part of UX, but intelligence is more important and can create magic if used smartly and wisely. ď‚´ AI when combined with intelligence and information architecture provides the data visualization that will further provide insights into providing users with information on the outputs that pop out of the AI.
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