Second Annual
Deep Learning in Retail & Advertising Summit
London
15 - 16 March 2018
- 30 Speakers
- 200 Attendees
- 3 Tracks
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Discover the latest deep learning advancements and how to leverage methods to improve advertising and the retail experience.
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Confirmed Speakers
Ansgar Koene
Senior Research Fellow
Horizon Digital Economy Research Institute & University of Nottingham
Get to know the speakers
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.
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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.
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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.
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Sky is going beyond a simple recommendation engine for content across its vast library by asking customers what mood they are in and using machine learning to deliver the best results.
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For Jenny Griffiths, founder of retail startup Snap Tech, the ideas around stores of the future that excite her the most are the innovations that occur in previously neglected parts of the store. That’s where Snap’s own magic mirror comes in.
Read MoreWhy 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
- 30 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
AI Assistants
Computer Vision
Fraud Detection
Image Analysis
Stock Level Optimisation
Personalised Shopping
Targeted Marketing
Deep Learning Algorithms
CONFIRMED ATTENDEES INCLUDE:
Register
For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co
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