The full speaker line up will be announced shortly.
Senior Product Manager Big Data & Machine Learning
Kohl's Department Stores
CTO & Co-founder
Senior Data Scientist
Lead Data Scientist
John Lewis Partnership
Director of Machine Learning
Lead Machine Learning Engineer
Senior Computer Vision Researcher
Wide Eyes Technologies
Deep Learning Engineer
Co-Founder & CEO
Chief Science Officer
Machine Learning Scientist
Co-Founder & CEO
Data Scientist & Machine Learning Engineer
Dublin City University
University of Warwick
The Web is a multi-model space. It is flooded with visual and textual information. The ability to natively organize and mine its heterogeneous content is crucial for a seamless user experience. This is true in e-commerce search, where product images and textual descriptions play key roles, because it is not feasible to physically inspect the goods.Read More
Caroline Walerud wants you to forget your shoe size. Or, at least, to forget that number you've been reeling off to salespeople for years, like a U.S. 9, or a European 40. It's likely that it isn't quite right anyway, given the complex anatomical structure of our feet and the inconsistent sizing used by footwear brands.Read More
ASOS can make a couple of interesting technology boasts. It is now the largest UK user of Microsoft cloud services, for example, while in the DevOps world, it claims to be the largest contributor of open source code to leading deployment automation technologies.Read More
Wide Eyes Technologies has developed cutting-edge software that uses image recognition to find items similar to what you’re looking for in a store’s database. Not only that, it can also recommend items to go with the ones you’ve chosen and complete your look.Read More
In the fashion industry there are many tasks that require human-level cognitive skills, such as detecting similar products or identifying facets in products (e.g. sleeve length or silhouette types in dresses).
In GILT we are building automated cognitive systems to detect dresses based on their silhouette, neckline, sleeve type and occasion.Read More
Discover advances in deep learning tools & techniques from the world's leading innovators across industry, academia, retail & advertising. Speakers will share insights on recent progress in technical advancements and retail applications including computer vision, image analysis & targeted marketing.
Learn about deep learning applications in retail & advertising from inventory forecasting to stock level optimisation to natural language processing for personalised shopping experiences to computer vision for sizing efficiency to algorithms for fraud detection.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in retail & advertising.