THIS SUMMIT IS CO-LOCATED WITH

DEEP LEARNING IN FINANCE

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

Speakers

The full speaker line up will be announced shortly.

Get to know the speakers

Original

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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Original

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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Original

Over the last 30 years we have witnessed the very nature of marketing change. We have seen the focus shift from creative advertising, through digital marketing and mobile apps to the current focus on data-driven engagement and data-centric marketing. The future, however, will be machine learning, artificial intelligence and predictive marketing.

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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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Original

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

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.

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.

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 Should Attend

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

Join the discussion

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

Downloads

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

  • Virtual Assistants

    Virtual 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

London

View a map of nearby hotels here.

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

View more information on hotels, restaurants, and things to do in London on our Pinterest page.

Travel Tips

Travel to London

Travel in London

Register

For enquiries about the event or to pay via invoice please contact hello@re-work.co

Partners

Sponsored by


Exhibitors & Startup Showcase Area


Media Partners & Press


What they say

Original

Chief Knowledge Officer, 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

Original

Director of IoT Market Strategy, Xively

"'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

Original

Future & Emerging Technologies Unit

"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


Featured In

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Deep Learning in Retail & Advertising Summit London

01 June 2017, London

The Deep Learning in Retail & Advertising Summit is a multidisciplinary event bringing together data scientists, engineers, CTOs, CEOs & leading retailers to explore the impact of deep learning and AI in the retail and advertising sector. Applications include computer vision for sizing; image analysis for shopping efficiency; and natural language processing for personalised shopping experiences. Explore the latest technology trends & innovations with influential research scientists, startups & business leaders across the industry.

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