If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The narrative that often accompanies most stories about artificial intelligence these days is how machines will disrupt any number of industries, from healthcare to transportation. After all, technology already drives many of the innovations in these sectors of the economy. The definitively low-tech fashion industry would seem to be one of the last to turn over its creative direction to data scientists and machine learning algorithms. However, big brands, e-commerce giants, and numerous startups are betting that AI can ingest data and spit out Chanel. Maybe it's not surprising, given that fashion is partly about buzz and trends--and there's nothing more buzzy and trendy in the world of tech today than AI.
Roses are red/Violets are blue/Sugar is sweet/And so is... artificial intelligence? Poetry enthusiasts might want to think twice about shedding tears over romantic verses, given that they can be produced by machines using algorithms. The fact that Microsoft's chatbot Xiaoice has published an anthology of poems takes many people aback. But the avatar is making strides using new AI capabilities to create patterns based on words, themes and key colors. In addition to its literary ambitions, Xiaoice is also designing images and patterns on fabrics for international fashion and garment producers.
Many will be flocking to the UK capital this week – all in the name of fashion. London Fashion Week is making a return on Friday, with fashionistas from all around the world gathering in celebration of fashion, community, diversity and creativity. In light of this, I wanted to take a look at the evolution of the fashion industry and how technology is transforming the sector at a pace faster than ever before. Wearable tech has been on the market for some time now, from the earliest days of the Fitbit to the latest iterations of the Apple Watch and Google Glass. Today, fashion leaders are merging form and function to make wearables more stylish and, well, wearable.
New York Fashion Week, now underway, is a celebration of creativity, crafts, imagination, and human ingenuity. But of course in the year 2019 one aspect of creation is integrating technology, so perhaps it's little wonder that some designers are relying on data collected by the Chinese e-commerce giant Alibaba to inform their looks. "We used big data to help these designers hone in on a few trends and have their collections built around these trends," James Lin, head of fashion at Alibaba North America, told the Nikkei Asian Review. "Based on what our consumers are wanting to buy, are looking for, are searching, we can help these designers create collections that appeal to a very big group." The company is investing a lot of resources and effort in lifestyle products--beauty and fashion items--which appear to maintain steady popularity and are exceptionally able to withstand the pressures of the US-China trade war.
Here at ASOS, we want to give everyone the confidence to be their best self, because, when you're at your best, you can achieve amazing things. Our Technology team pioneer incredible solutions that change the way our millions of customers can access fashion. We believe that fashion can make you look, feel and be the best version of you and it's this feeling of empowerment that we want our ASOSers to experience while working with us. Our ASOSers reflect the diverse society they live in; we celebrate our differences and welcome people from all different walks of life. We're looking for people who can live and breathe our values of being authentic, brave and creative and we don't care about labels – we recognise there are endless ways to be'you'.
In the foreseeable future, Artificial Intelligence or AI would have a profound impact on almost every piece of software available in the market, including Enterprise Resource Planning (ERP) systems, in some form or fashion. AI in ERP is going to affect the very essence of the system-controlled business operations. While Artificial Intelligence technology is still in relative infancy, the new machine learning is making serious waves in the software market and making inroads into business management applications, endowing them with the power of superior governance structure. According to Gartner, by 2020, 30 percent of all companies will employ artificial intelligence (AI) to augment at least one of their primary sales processes. AI has the potential to bring change on a wide scale to companies,where the customer and operational data is primary to the business.
There is surely a lot of buzz about artificial intelligence (AI), machine learning (ML), and data science (DS). Views vary widely from what people are doing with AI now and what could be done in the future. The practitioners of data science (data scientists) are in very high demand, as they are the "unicorns" who will help your company implement AI and ML. All the buzz has lead to a lot of misunderstanding of how to actually operationalize AI and the level of difficulty of getting something useful out of it for your business. To be frank, implementing AI is not simple.
Casting the net wider to take in global shopping preferences and real-time purchasing behaviour, The Trending Store, which opened in London's Westfield Shopping centre this week, is using AI to analyse social media data to extrapolate the'top 100 fashion items'. The trending products, which span high-street and designer looks across fashion, accessories and footwear, are then collected each morning by a team of stylists from the retail stores at Westfield London. The data analytics are being performed by NextAtlas, who track 400,000 early adopters spread across 1,000 cities worldwide to determine the top 100 items. Screens in The Trending Store show exactly where each trend originates from, so shoppers can see which city or country is influencing the popularity of the item. This is perhaps the first foray into shopping centres providing AI-driven multi-brand solutions that helps get trending styles and colours in front of customers at the right time.
We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion. Our approach jointly models a size purchased by a customer, and its possible return event: 1. no return, 2. returned too small 3. returned too big. Those events are drawn following a multinomial distribution parameterized on the joint probability of each event, built following a hierarchy combining priors. Such a model allows us to incorporate extended domain expertise and article characteristics as prior knowledge, which in turn makes it possible for the underlying parameters to emerge thanks to sufficient data. Experiments are presented on real (anonymized) data from millions of customers along with a detailed discussion on the efficiency of such an approach within a large scale production system.