Imagine your job is to personalize search results on an e-commerce site for returning customers, classify the presence or absence of pedestrians in street photos, or develop an app that translates languages. In all of these cases, a basic ingredient is a dataset of annotations provided by a human. For any company seeking to personalize experience for its customers, combining human computation with algorithmic computation is essential. This is also true for Stitch Fix. At Stitch Fix, we recently launched Stitch Fix Freestyle, our direct-shopping experience, where our algorithmic recommendations are now directly shared with clients in their own personal shopping feed – a different approach from our original Fix experience, where a team of expert stylists determined what should go in the client's Fix.

It's been just a few weeks since OpenAI began allowing customers to commercially use images created by DALL-E 2, its remarkably powerful AI text-to-image system. But in spite of the current technical limitations and lack of volume licensing, not to mention API, some pioneers say they're already testing the system for various business use cases -- awaiting the day when DALL-E 2 becomes stable enough to deploy into production. Stitch Fix, the online service that uses recommendation algorithms to personalize apparel, says it has experimented with DALL-2 to visualize its products based on specific characteristics like color, fabric and style. For example, if a Stitch Fix customer asked for a "high-rise, red, stretchy, skinny jean" during the pilot, DALL-E 2 was tapped to generate images of that item, which a stylist could use to match with a similar product in Stitch Fix's inventory. "DALL-E 2 helps us surface the most informative characteristics of a product in a visual way, ultimately helping stylists find the perfect item that matches what a client has requested in their written feedback," a spokesperson told TechCrunch via email.

There's a special bond that's forged by the vulnerability of sitting -- dripping wet -- as a hairdresser snips and shears your wayward locks. A trusted hairdresser or barber has the power to make or break your day -- even month -- with a few flourishes, all while deftly discussing everything from politics to family gossip. Service robots have already come for our grocery stores and construction sites, and now a new hair brushing robot designed by engineers at MIT could be the first step toward automating hairdressers as well. While robots and algorithms may outdo humans when it comes to efficiency, Michelle Shell, a visiting professor of operations and technology management at Boston University whose research focuses on humans' emotional response to technology, tells Inverse that automating these very human jobs could have repercussions not only for customers, but employees as well. Built like a bodybuilder, the thick robotic arm of RoboWig is adorned by a tiny, delicate hairbrush that is designed to sweep gently through users' hair -- at least in theory.

Robots are not going to cut hair or perform other salon services any time soon. It requires human judgement and intuition and there's a bond of trust that develops between a stylist and their customer. However, technology can still transform a salon by streamlining processes, adding automation, and generating more business. By using technology solutions including various cloud-based platforms, salon owners, managers, and stylists can all benefit by staying busier and developing long-term relationships with loyal customers. As the country starts reopening and decimated salons dive back into business, they'll also need technology to develop competitive advantages as demand for their services grows.

Much of today's discussion around the future of artificial intelligence is focused on the possibility of achieving artificial general intelligence. Essentially, an AI capable of tackling an array of random tasks and working out how to tackle a new task on its own, much like a human, is the ultimate goal. But the discussion around this kind of intelligence seems less about if and more about when at this stage in the game. With the advent of neural networks and deep learning, the sky is the actual limit, at least that will be true once other areas of technology overcome their remaining obstructions. For deep learning to successfully support general intelligence, it's going to need the ability to access and store much more information than any individual system currently does.

Online shopping has drastically grown in people's life during the pandemic. Earlier, when the work was mostly professional at an office space, people spared very less time on mobile phones. Things have turned upside down now. Employees who are on remote working spend their leisure time scrolling through applications in their smartphones. They are often drawn to shopping apps that serve both as a pass-time and fashion guide.

According to Tractica, the worldwide AI software market is projected to generate a revenue of USD 118.6 billion by 2025. Another report by Juniper Research unveils that the global retail investment on the artificial intelligence is expected to grow to $7.3 billion per year by 2022. Considering these facts, it would be no wrong to say that the artificial intelligence is taking every industry by storm, and the fashion industry is no exception. By training machines and software to do human work with complete perfection, the technology is helping the industry to minimize redundant tasks and pay attention to other important activities. AI, along with its other subsets such as machine learning, NLP, and computer vision, is providing various automated solutions to fashion manufacturers, retailers, designers, and others to bring the best outcomes.

They might apply to one of these futuristic job ads one day. Fifteen years ago, people would have looked at you sideways if you told them you were a data scientist, driverless car engineer, or drone operator. It's hard to believe, but in 2006 those industries didn't really exist. By 2030, automation is expected to hit a midpoint, "something like 16 percent of occupations would have been automated--and there would be impact and dislocation as a result of these technologies." Artificial Intelligence, spatial computing (augmented and virtual reality), brain-computer interfaces, are all set to substitute labor or complement it in some way.

Alana'CityStyleBot' is giving high street and independent fashion retailers an alternative virtual shop front to serve customers post COVID-19. Launched in February 2020, Cork Start Up Alana is an innovative Fashion and Beauty platform for consumers to purchase curated fashion looks and beauty products. Alana is powered by Artificial Intelligence meaning that it learns to recommend styles/brands that will suit each customer's unique taste. Alana suggests clothes from high street retailers and independent boutiques with a same day delivery service making the whole highstreet a virtual shopping center – one checkout – one delivery charge of €3.99. Alana helps retailers compete with major brands who have an established ecommerce foothold. According to ACI Worldwide there is a 74% growth in the average transaction volumes due to a dramatic rise in online retail this March in comparison to March 2019.

Artificial Intelligence (AI) in retail is changing this industry by playing a crucial role in the various key divisions. From design, to manufacturing, logistic supply chain and marketing, AI in retail is playing a big role in transforming this industry. Actually, in the age of digitalization, AI and machine learning based technologies in retail industry is providing an automated solution to manufacturers helping them to leverage the intelligence of AI into fashion and exhaust the best possibilities into their field. So, right here we brought a great discussion, how AI is changing fashion and retail with use cases and impact of AI on this industry. The design and patterns with right color combination is the key point to design a costume or other types of products to make it attractive for the customers.