Big Data Days 2019

 October 8-10   Moscow

Andrey Golub

ELSE Corp Srl, Italy

BIO

A Business Transformation, Technology Innovation and R&D professional, AI-driven Design evangelist. Since 2010 a STARTUP ENTREPRENEUR, while in the past operated as a strategy & technology consultant, specializing in the Design, Development, and Launch of innovative Smart Products and Services. As of Entrepreneur, his best expertise and the main focus is concentrated on the Luxury Fashion Retail and Mass Customization, ideas and projects towards Luxury 3.0 philosophy.
Andrey is CEO and co-founder of ELSE Corp, a startup startup developing “Virtual Retail” (www.virtual-retail.org) and “Real Time Fashion System” (www.virtual-couture.org) concepts, which is a new business model and a set of technologies and processes for a complete Digital Transformation of the fashion retail chain, to enable ON DEMAND, MASS CUSTOMIZED and MADE TO MEASURE retailing, towards a SUSTAINABLE, cloud-based and HYBRID MANUFACTURING oriented supply chains.
Andrey is a book author for “Artificial Intelligence for Fashion” (in Russian langiage), Minsk/Belarus- 2019: https://www.labirint.ru/books/695465/

TALK

Integrating Small Data, Synthetic Data in AI Strategy for Fashion Retail

Why “Small Data” is important for advancing the AI? Will Big Data models work correctly, if trained on synthetic data? Can we properly define and train a Neural Network from a limited dataset, by augmenting its data with an extra knowledge (meta-data)?
This keynote is about the role of small data in the future of AI. Efforts have already begun in this direction. Although the current mantra of deep learning says ‘you need big data for AI’, more often than not, AI becomes even more intelligent and powerful if it has the capability to be trained with small data. Some AI solutions that rely only on small data outperform those working with big data. Some other AI solutions use big data to learn how to take advantage of small data.
Presenter will illustrate on practical and visual examples from Fashion Retail sector, some approaches and methods for using Small and Synthetic Data for training of the AI and Big Data systems, starting from the “big difference” but common nature of Small Data and Big Data. It will be explained in details the case of a Visual Search service, who’s training is initially based on 3D CAD models and their meta data, combined with real pictures on the later stages of training.

Session Keywords

Small Data
Recommendation Systems
Fashion