Making the business of fashion forecasts a touch easier, American international IBM rested their newest technology, IBM Watson to Indian designer duo Falguni and Shane Peacock, for their brand new collection centeredon the theme of ‘Future of Bollywood Fashion’.
IBM Watson searches through large pieces of data for patterns and insights, learning as it goes. Sriram Raghavan, director of IBM’s India Research Labs says that the company began by getting Watson to know fashion in a better way. He further stated that initially they were looking to make people’s retail experience better, and later these same building blocks were used in the design process. Watson understands colours, styles and silhouettes in a very significant way.
The technology, which runs on IBM Cloud, first examined about 6, 00,000 historical fashion runway images from London, New York, Milan and Paris Fashion Weeks. It then continued to analyse about 5,000 images from the ’70s, ’80s, ’90s and 2000s Bollywood. The two pieces of research came together to spotlight exactly which trends worked during different periods of time in history, and which ones are going to be the most popular in the near future. On this Raghavan’s pointed out sharing his thought that Watson lets you travel visually over space and time. The company always talk about Watson assisting professional services nurses, doctors, and teachers. According to him what the company is doing for fashion designer is same like it’s done for a doctor and people don’t think of diagnosis as a creative task, they view it as a specialised task. On the other hand talking aboutenlarging the procedure with data and understandings the entire system has been authorizing the designer.
People who are fond of fashion over the world, IBM Watson may serve as ansuccessful time-saver, allowingto manufacture every fashion collection in lesser time. Today’s technology has even used in the whole thing from suggesting innovative food and to recognizing skin cancers, investment examination, and management of wealth.
