AI-Artificial intelligence and the growth of the creative potential of designers in the fashion industry

AI-Artificial intelligence and the growth of the creative potential of designers in the fashion industry

150 150 Valerio Perna

AI-Artificial intelligence and the growth of the creative potential

ISSN: 2227-7994

Author: Esmeralda Marku
Affiliation: POLIS University

Artificial intelligence (AI) in the 21st century has reached a high level of use and is now an integral part of every industry, or of the way a business is functioning. The fashion industry, being one of the most variable industries in the world, had no way of making an exception from the use of Artificial Intelligence. Starting from the idea, and product development and up to mass production business in any industry. The fashion industry is no exception. From product development to robotic manufacturing, AI has made its way to almost every segment of the fashion value chain. Fashion is a trend that has its own story evolving as ideas are recycled or given new interpretations. It's a phenomenon associated with the pursuit of perfection. Fashion has been around, for as long as humans can remember. It took off when consumerism became prevalent in the 19th century. This was also the time when social scientists started paying attention to fashion. Fashion is all about what's considered trendy and appropriate in a time and situation. A certain group of people known as fashion leaders play a role, in shaping these trends. They have a status that allows them to determine what's fashionable and others follow their lead. Fashion used to be a privilege that only a select few could enjoy. However, in today's society, economic progress has opened up the opportunity for a large number of people, from countries to actively participate in fashion competitions. It's not about wealth though; people now have psychological freedom and the emergence of new communication methods has made fashion even more significant in our lives. This article delves into the impact of intelligence on the rise of designers, in the industry exploring how it enhances and automates their creative process. Fashion needs followers, but it is also necessary for some people to be out of fashion, as not everyone, or everything, can be 'in fashion'. When something is too common, it can be replaced, otherwise, fashion cannot be used to differentiate between people. Fashion design is well-accepted as a career option. A very large number of institutes exist around the world, offering courses in various fields of fashion. The number of students who consider fashion as a serious career has continued to grow over the years, not limited only to people who have studied fashion, but we can have people who have studied other professions but find themselves very well in the fashion industry. In such a diverse market, what makes the difference in the industry is the designer's ability to keep up with the times. Artificial intelligence has brought a variety of artistic creations, allowing everyone to express their style. Regardless of which of these creations have the potential to find real application in the real world. AI research has created techniques based on probability and economics to deal with ambiguous or partial information. The "combinatorial explosion" that occurred when the problems got bigger and the machines become exponentially slower made the early algorithms unsuitable for handling large argument problems. They address the majority of their difficulties with snap decisions based on intuition. Conditional statements, conditional expressions, and conditional constructs form the foundation of the computer language. A popular construct in many programming languages is the if-then (sometimes known as if-then-else). This fundamental boolean condition can be resolved by a computer. It is predicated on the fundamental principles of what is True or False. On the other hand, this sentence alone, along with the If and Then that surround it and the consequences that follow, comprise a conditional statement that lacks intrinsic value but has an internal meaning (like expressing a coherent logic rule). ((n.d.))

Publisher: Polis_press