Join the conversation #REWORKRETAIL
Senior Data Scientist
Group Analytics Manager
Distinguished Data Scientist
PhD Researcher & Academic Assistant
Warwick Business School & The Turing Institute
Universitat Politècnica de Catalunya
Lead Machine Learning Engineer
CTO & Founder
Twitters ranking algorithm is powered by deep neural networks, leveraging the modelling capabilities and AI platform built by Cortex, one of the in-house AI teams at Twitter. Enabling Twitter to provide more relevant timelines now and in the future using NLP, conversation understanding & media domains.Read More
Travis Perkins explored both Google and IBM machine learning technologies, looking at product visual recognition and predictive market behaviour. The team believes future applications have huge potential in helping to improve the customer experience.Read More
People keep their stuff despite the fact that there is a well-known way of getting rid of it: online classifieds. Brand awareness of online classifieds in developed countries approaches 100% of the internet population. Why do only 1.5% of the people sell something on them?Read More
We are living in a digital age where all of our lives are impacted by digital technologies and information sciences, from cyber security and computational intelligence to games and visual effects to digital libraries, archives and records.Read More
Flare uses artificial intelligence (AI) in order to bring an additional layer of home security and will send police to a residence on its own without a user’s approval. The Smart Home security system uses a software called AudioIntel that distinguishes normal noise from suspicious sounds, allowing the system to take action on its own.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.