- 30 Speakers
- 150 Attendees
- London
This event is in the past
The full speaker line up will be announced shortly.
Kumar Ujjwal
Senior Product Manager Big Data & Machine Learning
Kohl's Department Stores
Calvin Seward
Research Scientist
Zalando
Susana Zoghbi
Postdoctoral Researcher
KU Leuven
Alper Aydemir
CTO & Co-founder
Volumental
Ben Chamberlain
Senior Data Scientist
Asos
Daniel Gebler
CTO
Picnic
Stuart Barker
Lead Data Scientist
John Lewis Partnership
Jekaterina Novikova
Postdoctoral Researcher
Heriot-Watt University
Kostos Perifanos
Lead Machine Learning Engineer
Argos
Arnau Ramisa
Senior Computer Vision Researcher
Wide Eyes Technologies
Pau Carré Cardona
Deep Learning Engineer
Gilt
Ofri Ben Porat
Co-Founder & CEO
Pixoneye
Artit Wangperawong
Chief Science Officer
True Corporation
Jan Gasthaus
Machine Learning Scientist
Amazon
Augustin Marty
Co-Founder & CEO
Deepomatic
Rami Al-Salman
Data Scientist & Machine Learning Engineer
Trivago
Cathal Gurrin
Senior Lecturer
Dublin City University
Henry Powell
PhD Candidate
University of Warwick
Dima Karamshuk
Senior Data Scientist
Skyscanner
Ekaterina Volkova-Volkmar
Lead Data Scientist
Codec
Tom Charman
Co-Founder and CEO
KOMPAS
Miroslav Kobetski
Co-Founder
Volumental
Hussein Kanji
Co-Founder
Hoxton Ventures
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.
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.
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.
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.
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.
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.
View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.
AI Assistants
Computer Vision
Fraud Detection
Image Analysis
Stock Level Optimisation
Personalised Shopping
Targeted Marketing
Deep Learning Algorithms
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Chief Knowledge Officer, NASA
@NASA
"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015
Director of IoT Market Strategy, Xively
@seanlorenz
"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015
Future & Emerging Technologies Unit
@fet_eu
"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014
21 September 2017, London
The Deep Learning Summit is the next revolution in artificial intelligence. Explore the impact of image & speech recognition as a disruptive trend in business and industry. How can multiple levels of representation and abstraction help to make sense of data such as images, sound, and text. Hear the latest insights and technology advancements from industry leaders, startups and researchers.
21 September 2017, London
The next generation in predictive intelligence. Anticipating user & business needs to alert & advise logical steps to increase efficiency. The summit will showcase the opportunities of advancing trends in AI Assistants & their impact on business & society. What impact will predictive intelligence have on business efficiency & personal organization?
21 September 2017, London
Following day 1 of the summit, attendees will come together for an evening of networking, discussions and fine food & wine. Mix with leaders on topics including NLP, speech recognition and image analysis, as well as applications in sectors including manufacturing, transport, healthcare, finance and security.
AI Assistants: in the news: what have you missed?
Google DeepMind's Avatar Learns to Walk
