The AO Debate Is fashion education meeting industry needs.docx

1. The AO Debate: Is fashion education meeting industry needs? In this special segment of AO Debate, we bring for you two different perspectives of fashion education experts on the need for incorporating data science and AI into the fashion and textile education curriculum to keep pace with industry’s constant evolution. ‘Incorporate AI into fashion and textile design education’ Pratik Kumar, HOD Pratik Kumar, HOD- -Fashion Design Department, JD School of Design Fashion Design Department, JD School of Design Our industry is undergoing a rapid shift and there’s a growing need for graduates with a broader skill set. Traditional curriculums might prioritise design aesthetics over the cold realities of business. For instance, one significant area where Indian fashion schools need to improve is their emphasis on data analysis and AI. Fashion companies are increasingly harnessing the power of data science across various aspects, including designing, supply chain management, inventory control, sales forecasting and analysing consumer purchasing behaviour. This utilisation of data science is aimed at either improving or fundamentally transforming the way new products are created within the industry. For instance, some fashion firms have started integrating data analytics and machine learning into their apparel design processes. Recognisable names in the fashion industry, such as Gap Inc., have experimented replacing the traditional ‘creative director’ role with data scientists to innovate and design new products using A Apparel M pparel Manufacturing T anufacturing Techno echnology logy. If you want to read this and other Fashion and Apparel Industry articles, Apparel & Garments News, Apparel Industry updates related news Click here: - apparelresources.com