Discover the latest deep learning advancements and how to leverage methods to improve advertising and the retail experience.

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Speakers

The full speaker line up will be announced shortly.

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Kumar Ujjwal

Senior Product Manager Big Data & Machine Learning

Kohl's Department Stores

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Calvin Seward

Research Scientist

Zalando

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Susana Zoghbi

Postdoctoral Researcher

KU Leuven

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Alper Aydemir

CTO & Co-founder

Volumental

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Ben Chamberlain

Senior Data Scientist

Asos

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Daniel Gebler

CTO

Picnic

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Stuart Barker

Lead Data Scientist

John Lewis Partnership

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Jekaterina Novikova

Postdoctoral Researcher

Heriot-Watt University

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Kostas Perifanos

Lead Machine Learning Engineer

Argos

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Arnau Ramisa

Senior Computer Vision Researcher

Wide Eyes Technologies

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Pau Carré Cardona

Deep Learning Engineer

Gilt

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Ofri Ben Porat

Co-Founder & CEO

Pixoneye

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Artit Wangperawong

Chief Science Officer

True Corporation

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Jan Gasthaus

Machine Learning Scientist

Amazon

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Augustin Marty

Co-Founder & CEO

Deepomatic

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Rami Al-Salman

Data Scientist & Machine Learning Engineer

Trivago

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Cathal Gurrin

Senior Lecturer

Dublin City University

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Henry Powell

PhD Candidate

University of Warwick

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Dima Karamshuk

Senior Data Scientist

Skyscanner

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Ekaterina Volkova-Volkmar

Lead Data Scientist

Codec

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Tom Charman

Co-Founder and CEO

KOMPAS

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Miroslav Kobetski

Co-Founder

Volumental

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Hussein Kanji

Co-Founder

Hoxton Ventures

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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.

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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.

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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.

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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.

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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.

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Why Attend

Speakers

Extraordinary Speakers

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.

Tech

Discover Emerging Trends

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.

Network

Expand Your Network

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.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • CTOs
  • Retail Analysts
  • Founders
  • Directors of Innovation
  • Advertising Executives
  • CEOs
  • Retail Operations
Speechbubbles

Join the discussion

  • 20 speakers
  • 150 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

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View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Topics we cover

AI Assistants
AI Assistants
Computer Vision
Computer Vision
Fraud Detection
Fraud Detection
Image Analysis
Image Analysis
Stock Level Optimisation
Stock Level Optimisation
Personalised Shopping
Personalised Shopping
Targeted Marketing
Targeted Marketing
Deep Learning Algorithms
Deep Learning Algorithms

Attendees Include:

Baillie Gifford
Kyan
Gyana
ATP
white clarke group
jp morgan
KAIST
Isban UK
City University London
Raiffeisen Bank
Argos
dunnhumby

Venue

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ETC Venues is located next to Liverpool St. Station in The City of London.

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