The Asia Pacific artificial intelligence in fashion market accounted for US$ 55. 1 Mn in 2018 and is expected to grow at a CAGR of 39. 0% over the forecast period 2019-2027, to account for US$ 1015. GNW Real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion industry. Moreover, the availability of a large amount of data originating from different data sources is one of the key factors driving the growth of AI technology across the fashion industry. Artificial Intelligence has already disrupted several industries, including the retail and fashion industry. The fashion industry so far has been one of the primary adopters of the technology.
The fashion industry all across the globe is moving swiftly. There is no doubt in the fact that by nature the field of fashion is extremely malleable. Almost every season, it transforms into something completely new. This industry is revolving around the perpetual dynamics of transformations and a continuous introduction to fresh ideas. Over the last few years, the fashion runways have been flourished with a plethora of innovative changes.
Several weeks ago Google Arts & Culture and the Bussiness of Fashion (BoF) released the interactive visualization'Runway Palette' by Cyril Diagne. The tool was released at the BoF VOICES 2019 conference and boasts over 144,000 looks from more than 3,800 fashion shows and 992 designers. If you could attend one fashion show per day, it would take you more than 10 years to see them all. The interactive tool is both visually stunning and highly informative -- It is also free to use and quite easy to get lost in! If you're curious about which designers influenced your closet you can upload your own photo and find looks that match.
Fashion brand Uniqlo has come closer to full automation in its factories with the introduction of robots that can pick up t-shirts. Fast Retailing, the owner of the massive Uniqlo brand, is kitting out its warehouses with the textile-packing machines, developed with Japanese startup Mujin. While the industrial power and rigid frames of many logistics robots are suited to heavy loads, textiles are lighter and require a slightly softer touch to prevent damage. But footage shows the Intelligent Piece Packing Robot's curved arm using suction to cling to plastic-packaged t-shirts and place them neatly in boxes to be shipped to customers. 'We've been putting off working with an apparel company because it's so difficult,' said Issei Takino, co-founder and chief executive of Mujin, as quoted by the Financial Times.
The fashion industry is investing huge amounts of money in artificial intelligence systems that can provide what is called "sentiment analysis", which is similar to customer feedback, except that it's indirectly acquired. Typically, sentiment analytics systems can gather information from social media pages as well as through natural language processing, perhaps through listening to customer phone calls. A massive number of data points can be collated and analysed – a quantity of information that only an AI system can process. And after processing it all, conclusions can be drawn. For example, sentiment analysis can help discover whether people are speaking positively about some products or negatively about others; or it can collate and organise all reviews; or it can monitor the news media to see if the brand is being mentioned, and in what context.
Creativity is thought of as a uniquely human trait, born from our conscious observations and interpretations of ourselves and the world around us-- in that sense, it's not something machines should ever be capable of. Nonetheless, few would doubt the'left-brain' potential of Artificial Intelligence (AI) and its ability to paw through massive datasets-- extracting insights, predictions, and patterns, all of which can then inform a program's next action as a result, and enable technology to serve as our digital assistant. While we may not always know clearly how it's making decisions, we can be relatively sure those choices are driven by logic. It's not to say current uses of AI are exclusive from creative industries or art. For example, AI can comb through banks of historical, creative data and generate new content, based on a patchwork of previous data and an'understanding' of average formats.
I'm often asked why I think Artificial-Intelligence (AI) tools are key for luxury brands' success in the 21st Century. I think that's because AI is one of the most overused buzzwords today, and many people use the term very loosely. In fact, most people discuss AI without really understanding it or what the benefits are. First off, one must know that AI is just a small part of what I call advanced data querying technologies. These technologies also include machine learning and advanced data analytics.
A new partnership between computing giant IBM and The Fashion Institute of Technology (FIT) in New York is aiming to embed AI into the full spectrum of the fashion industry. The partnership will see a suite of artificial intelligence (AI) tools covering deep learning, natural language processing and computer vision applied to the fashion industry, across design and development, merchandising, supply chain and retail. It will see the FIT/Infor Design and Technology Lab (DTech Lab) build on a previous partnership with the technology heavyweight, which saw the DTech Lab work with IBM and leading fashion brand Tommy Hilfiger. The project, Reimagine Retail, focused on using AI to increase the brand's competitive position through optimisations in product design, supply chain and market insights. "Reimagine Retail was a powerful example of what happens when fashion partners with a global tech leader to advance challenging innovations," said Michael Ferraro, director of the FIT/Infor DTech Lab.
The first, Runway Palette, organizes the work of almost 1,000 different fashion designers by color. Google says it worked with a publication called Business of Fashion to create the app. With the help of BoF's photo collection, which includes more than 140,000 photos from some 4,000 fashion shows, Google used a machine-learning algorithm to organize all the photographed outfits by color. You can explore the archive in one of two ways. You can either tap through the very cool interactive visualization tool Google created, or you can photograph a piece of clothing and the app will show you similar looks.
Arguably the most memorable scene in "The Devil Wears Prada" was Meryl Streep's searing monologue reprimanding the doe-eyed Anne Hathaway for having undermined fashion's profound influence on mass culture. In the movie, she's able to draw from her prolific knowledge of the industry to trace the origins of a certain cerulean blue hue, from the runways of Oscar de la Renta and St Laurent to the racks of department stores. Today, however, no one needs an impeccable memory to understand the life cycle of a colour du jour. In partnership with BoF, Google unveiled Thursday at the VOICES Conference an interactive online tool, free to use, to take a colour palette and pinpoint runway looks with the same colour schemes, drawn from nearly 4,000 fashion shows. Spearheaded by Google's artist-in-residence Cyril Diagne and announced in VOICES 2017, the project uses machine learning to map out these fashion palettes, and allows users to upload their own photos.