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


The full speaker line up will be announced shortly.

Get to know the speakers


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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Reports this week said Staples is tapping into machine learning to more quickly engage with potential business buyers and linking sales representatives to those prospects. Staples Business Advantage is exploring machine learning and artificial intelligence to aggregate information about corporate buyers’ preferences and predict their shopping needs.

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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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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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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


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:

  • Kyan
  • Gyana
  • ATP
  • white clarke group
  • jp morgan
  • Isban UK
  • City University 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.

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Travel to London

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What they say


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


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


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

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Future Events

Deep Learning Summit Singapore

27 April 2017, Singapore

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.

Deep Learning in Finance Summit Singapore

27 April 2017, Singapore

The Deep Learning in Finance Summit is a multidisciplinary event bringing together data scientists, engineers, CTOs, CEOs & leading financial corporations to explore the impact of deep learning in the financial sector. Applications include identifying and preventing risks, revolutionising financial forecasting & compliance. Explore the latest technology trends & innovations with influential research scientists, startups & business leaders across the industry.

Deep Learning in Healthcare Summit Boston

25 May 2017, Boston

The Deep Learning in Healthcare Summit will explore recent breakthroughs in technical advancements and healthcare applications, from algorithms that learn to recognise complex patterns within rich medical data, to analysing real world evidence for personalised medicine, to discovering the sequence specificities of DNA- binding proteins and how it can aid genome diagnostics.


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