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2019 | Buch

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Artificial Intelligence for Fashion

How AI is Revolutionizing the Fashion Industry

verfasst von: Leanne Luce

Verlag: Apress

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing.

Artificial Intelligence for Fashion walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics. Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you'll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses.

What You’ll Learn

Gain a basic understanding of AI and how it is used in fashion

Understand key terminology and concepts in AI

Review the new competitive landscape of the fashion industry

Conceptualize and develop new ways to apply AI within the workplaceWho This Book Is For

Fashion industry professionals from designers, managers, department heads, and executives can use this book to learn about how AI is impacting roles in every department and profession.

Inhaltsverzeichnis

Frontmatter

Introduction

Frontmatter

Chapter 1. Basics of Artificial Intelligence

Abstract

Fashion not only provides functional purpose, but captures mysterious and elusive aspects of being human. Fashion expresses and invokes human emotion and creativity. How we look and sometimes even how we feel is intertwined in this industry. Fashion has always been forward looking, grabbing onto new technologies as they arise. Artificial intelligence is no exception, and it’s moving as quickly as fashion does.

Leanne Luce

Shopping and Product Discovery

Frontmatter

Chapter 2. Natural Language Processing and Conversational Shopping

Abstract

Natural language processing (NLP) plays a critical role in human-machine communication. Billions of gigabytes of data are being created by users around the world every day. Most of this content is created in unstructured formats, making it unusable using regular programming techniques. With NLP, this unstructured data can be interpreted by machines without the requirements of strict data structures. To learn more about data and data structures, check out Chapter 6.

Leanne Luce

Chapter 3. Computer Vision and Smart Mirrors

Abstract

Smart mirror technology is sweeping through retail environments, from luxury department stores to personal living spaces. A smart mirror is a two-way mirror with an electronic display behind it. They are computers enabled by a full stack of technology, from hardware with depth sensing to software equipped with advanced computer vision algorithms.

Leanne Luce

Chapter 4. Neural Networks and Image Search

Abstract

It’s hard to imagine an industry that relies on images more than the fashion industry. Almost every process, from manufacturing to marketing, revolves around images. This chapter discusses methods for classifying images, developments in neural networks that have been improving these methods, and the basics of how neural networks work. The idea of classifying images was mentioned in Chapter 3. It might not sound like a futuristic or exciting concept, but it is foundational for machines to answer the question, “What is this?” when working with an image.

Leanne Luce

Chapter 5. Virtual Style Assistants

Abstract

The idea of creating an artificially intelligent personal stylist has been frequently revisited in popular entertainment. The first time I can remember being exposed to this idea was watching the film Clueless (circa 1995). Cher is choosing her outfit for school by using a computer system that tells her “Mis-Match” for outfits that don’t style well together and shows her what the outfit will look like on her.

Leanne Luce

Sales

Frontmatter

Chapter 6. Data Science and Subscription Services

Abstract

Data is shaping the way we experience retail by enabling customized experiences. In the fashion industry, the technology being built around subscription services provides an example of how these custom experiences can be applied to e-commerce.

Leanne Luce

Chapter 7. Predictive Analytics and Size Recommendations

Abstract

Fit is a vaguely defined, complexly intertwined technical and emotional topic. Each individual has a different definition of how they want their clothing to fit. The way that we use words to describe fit even varies from one person to another. “Baggy” to one person may look like something different to someone else.

Leanne Luce

Designing

Frontmatter

Chapter 8. Generative Models as Fashion Designers

Abstract

Amazon made headlines in 2017 for a controversial idea that it introduced to the public consciousness. Amazon claimed the ability to train a generative adversarial network (GAN), a type of generative model, to design garments. For many fashion industry professionals, this announcement set off alarms. The threat that the role of the fashion designer would soon become obsolete hit close to home for everyone.

Leanne Luce

Chapter 9. Data Mining and Trend Forecasting

Abstract

Trend forecasting has always been an illusive industry, with large brands paying hefty fees for consultancies to give them advice about the future. This forecasting toggles between art and science—with investment in advice ranging from groups like K-HOLE, a trend forecasting consultancy that started as an art collective making commentary about the corporate world, to researchers at Cornell University, who have taken to social media data to study fashion’s anthropology around the world.

Leanne Luce

Supply Chain

Frontmatter

Chapter 10. Deep Learning and Demand Forecasting

Abstract

Demand forecasting is a branch of predictive analytics that focuses on gaining an understanding of consumer demand for goods and services. If demand can be understood, brands can control their inventory to avoid overstocking and understocking products. While there is no perfect forecasting model, using demand forecasting as a tool can help fashion businesses better prepare for upcoming seasons.

Leanne Luce

Chapter 11. Robotics and Manufacturing

Abstract

The topic of robots can be a fantastical or functional conversation, depending who you’re speaking to. For a long time, science fiction has been dreaming of the ways in which robots might look like us, talk like us, think like us, and take over the world. In reality, most of the machines being built in the field of robotics have nothing to do with the portrayals on television. The most useful robots in industry today are not humanoid, aren’t bipedal (walking on two legs), don’t speak, and don’t think like humans.

Leanne Luce

Future

Frontmatter

Chapter 12. Democratization and Impacts of AI

Abstract

Machine learning is shifting from being a tailor-made service of custom-crafted models into an era of productization. The new class of products and services coming out of this shift allows a diverse set of people to train their own models with their own data without the help of machine learning researchers. The tools are changing from being available only to large corporations that can afford it into the hands of smaller businesses that may be struggling to compete. As the reliance on specialists decreases for many use cases, it will become commonplace to see businesses of all sizes relying on artificial intelligence to improve some aspect of their daily operations. While the long-term impacts of this change have yet to be proven, the rise of AI automation tools has stirred all kinds of debate, especially around economics and jobs.

Leanne Luce

Backmatter

Titel: Artificial Intelligence for Fashion
verfasst von: Leanne Luce
Verlag: Apress
Electronic ISBN: 978-1-4842-3931-5
Print ISBN: 978-1-4842-3930-8
DOI: https://doi.org/10.1007/978-1-4842-3931-5