Shaking Hands with AI in Unlocking the New Era of Fashion

Authors

  • Dr. V.A. Rinsey Antony HOD, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India. Author
  • Ginni Student, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0126

Keywords:

Decision-making, Automation, Augmentation, Artificial Intelligence, Acceleration

Abstract

Artificial intelligence is commonly known as AI, these are fundamentally changing the functionality of the working world. Artificial Intelligence Many expert’s state that this era of AI is similar to the Industrial revolution in the 19th century. A handful of people are still unknown about the existence of AI and how it can enhance and develop the fields in which they are implemented in. It is considered as a tool that is widely ranged and enables people to integrate information, analyze data, and enhance the decision making functions.AI has a lot of benefits that can be incurred with a proper usage. The paper is an overview of gaining knowledge and understanding AI in a better way by looking into the history and emergence of AI and its emergence in fashion technology, the evolution cycle, AI as a system, comparison of human and artificial intelligence, different fields of AI, case study, different approaches and a lot more that will enlighten the readers with the improvised knowledge on AI in fashion. Generating AI creates new space for creativity. It has the ability to organize the unstructured raw data into a complete output. AI is not all about automation which revolves around augmentation and acceleration. The AI race provides the professionals with a dramatically faster and in an orderly and efficient manner. Thus, it is important to realize the changes it might bring to the industries, working conditions, functional skills etc. to our society.

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Published

2024-04-20

How to Cite

Shaking Hands with AI in Unlocking the New Era of Fashion . (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(04), 895-906. https://doi.org/10.47392/IRJAEH.2024.0126

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