DEEP LEARNING IN RETAIL & ADVERTISING SUMMIT

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1 DEEP LEARNING IN RETAIL & ADVERTISING SUMMIT #reworkretail 1-2 June 2017 LONDON

2 ABOUT RE WORK Our Mission: To bring together research, industry and startups to apply emerging technology, breakthrough science & entrepreneurship to collaborate, share and inspire. Our Vision: To positively impact the world by applying rapidly advancing technology and entrepreneurship to solve global challenges. 3 core principles: To explore rapidly advancing breakthrough technology and cutting-edge science To encourage collaboration between researchers, scientists, industry and startups To advance the positive impact of advancing technologies on business and society to solve global challenges through realworld applications and use cases FIND OUT MORE

3 WHAT TO EXPECT A line up of world-class speakers from academia, startups and leading industry sharing insights, expertise and the latest technology breakthroughs from the lab to the workplace. An overview of future trends in the artificial intelligence (AI) landscape and real-world use cases to understand how AI will impact your industry & create new business opportunities. 20min presentations on emerging technology & real-use applications; fireside chats with founders; showcase areas for demos, and round-table seating for discussions. Networking opportunities at the event facilitate a cross-industry mix of attendees to come together to learn, collaborate, exhibit and recruit in an interactive setting. View media & summaries from previous events here: "I enjoyed the opportunity to see what other people are doing. It sparked new ideas, validated existing ones, and resulted in serendipitous connections. Chief Data Scientist, Talla The event was excellent Research Engineer, Facebook "Great value for me both personally and professionally - two days where I could learn, network and understand current and potential future trends and how best I can add value to healthcare client companies. I have attended a number of life sciences centric symposium /conferences over the years and always found them to be beneficial. However in my view, the size and format of this summit sets you apart, well done and keep up the great work. Director, ML Associates It was a fantastic experience. The networking time was well-organized and all the speakers and guests played their role perfectly. Actually everything was perfectly organized. It was one of the best events I've ever attended. Anon "I think that DL in Healthcare Summit has been the best summit I have ever attended. Not only because of the great food & beautiful space, but because of the speakers & the science, that looked like magic available to all hands. It is a MUST if you want to know what is going to happen in the deep learning field. CEO, MedicSen "Great connections, business opportunities & learning about new trends. Congratulations - another amazing event!, Founder, Eyeris

4 WHY ATTEND The Deep Learning in Retail Summit is an opportunity to hear the latest insights, technology advancements and real-world uses cases from industry leaders, startups and researchers. Learn new skills and technology trends; Meet experts in the field to progress your business; Collaborate with academic institutions, startups and industry; Hire the new talent from world-class universities; and Invest in revolutionary startups. TOPICS COVERED Personalised Shopping Targeted Marketing Virtual Assistants Computer Vision Fraud Detection Image Analysis Stock Level Optimsation Deep Learning Algorithms CONFIRMED ATTENDEES Attendees return year after year and regularly travel internationally to attend events in multiple global locations. A snapshot of companies and job roles that are attending include: Tesco Amazon Bailie Gifford 4C Consulting Spindrift 888 Holdings Gyana Vend KBCM Tribal Worldwide APC Korea Advanced Institute of Science Redline Capital Bryant Priceminister PRODYNA CTOs Data Engineers Senior Data Scientists Machine Learning Scientists Big Data Architects Managing Directors Product Development Founders Partners Professors Quantitative Developers R&D Directors Researchers Investment Managers Venture Capitalists Lecturers

5 CONFIRMED SPEAKERS Alper Aydemir, CTO & Co-Founder, Volumental Alper Aydemir has a PhD in robotics and computer vision from Royal Institute of Technology in Stockholm in He has previously worked as a researcher at NASA/JPL s computer vision group and was one of the early team members of Google s 3D scanning on mobile phone project, named Tango. Ben Chamberlain, Senior Data Scientist, Asos Ben Chamberlain is a senior data scientist at ASOS.com where he leads the Customer Understanding team. He has previously worked as a data scientist in the social media, defence and security industries. He is a graduate of the University of Oxford. Susana Zoghbi, PhD Researcher, KU Leuven My research interests lie at the intersection of computer vision and natural language processing, and include deep learning, topic modeling and graphical models. Specifically, I am interested in developing end-to-end learning architectures to jointly detect finegrained attributes on both images and text. Ekaterina Volkova-Volkmar, Lead Data Scientist, Codec Ekaterina Volkova-Volkmar is a lead data scientist at Codec. Prior to this role she was a data scientist in the field of digital health. She finished her PhD at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, in Tom Charman, Co-founder & CEO, KOMPAS Tom is the co-founder and CEO of KOMPAS, a company using machine learning to understand people and places, creating recommendations based on personal perspectives. He s represented the UK at three startup world finals in Thailand, Denmark, and Belfast. Miroslav Kobetski, Co-founder, Volumental Miroslav co-founded Volumental during his PhD in computer vision at KTH and is currently leading the company's deep learning efforts in building the world's best and most consumer centric sales assistant. Hussein Kanji, Co-founder, Hoxton Ventures Hussein is a founding partner of Hoxton Ventures, a London-based early stage European venture capital firm. He has occasionally assisted the UK government with technology policy. He regularly appears on BBC, Bloomberg, CNN and Sky News.

6 CONFIRMED SPEAKERS Kumar Ujjwal, Senior Product Manager, Kohl s Department Stores Kumar Ujjwal is a Sr. Product Manager for Big Data and Machine Learning products at Kohl's Department Store. His current work is focused on using computer vision and natural language processing for customer engagement in the retail industry. Calvin Seward, Research Scientist, Zalando Calvin Seward is a Resarch Scientist for Zalando's Research Lab, working mainly on unsupervised and semi-supervised computer vision problems including classification, localization and semantic segmentation. Daniel Gebler, CTO, Picnic Daniel Gebler is CTO of Picnic, the world s fastest growing online supermarket that makes grocery shopping simple, fun, and affordable for everyone. Previously, he was Director R&D of Fredhopper, responsible for the product and technology roadmap, and led engineering teams located in Amsterdam and Sofia. Cathal Gurrin, Senior Lecturer, Dublin City University Dr. Cathal Gurrin is a senior lecturer at the School of Computing, at Dublin City University, Ireland, CIO of Identic, and he is an investigator at the Insight Centre for Data Analytics where he leads a research group of 10 people. Henry Powell, PhD Candidate, University of Warwick Henry is a doctoral candidate at the University of Warwick with a research focus on theoretical cognitive science and robotics, particularly how low level dynamic and computational control of motor action can affect human-human and human-robot interaction. Dima Karamashuk, Senior Data Scientist, Skyscanner Dima is a Senior Data Scientist at Skyscanner where his focus is on applying data mining and machine learning techniques for optimizing content caching and distribution. Arnau Ramosa, Sr Computer Vision Researcher, Wide Eyes Technologies Since 2015 Arnau is working as a computer vision researcher at Wide Eyes Tech. His research interests include object classification and detection, image retrieval, robot vision and natural language processing. Between 2009 and 2011, he was a postdoctoral fellow at the LEAR team in INRIA Grenoble / Rhone-Alpes.

7 CONFIRMED SPEAKERS Augustin Marty, Co-Founder & CEO, Deepomatic Augustin Co-foundeded Deepomatic, an artificial intelligence software editor based on deep learning which specialises in image recognition, in He previously founded a company in China, worked in India, optimising combustion cycles for Power Plants, and at Vinci Construction Group designing and selling engineering projects. Jan Gasthaus, Machine Learning Scientist, Amazon Jan is a machine learning scientist in Amazon s Core Machine Learning team, working mainly on time series forecasting and large-scale probabilistic machine learning. He is passionate about developing novel machine learning solutions for addressing challenging business problems. Artit Wangperawong, Chief Science Officer, True Corporation Art has built AI systems for some of the largest conglomerates in Asia and has experience in energy, medicine, telecommunications, finance, semiconductors, IT and education. Art studied at Stanford University, where he obtained a B.S. in Mechanical Engineering as well as an M.S. and a Ph.D. in Electrical Engineering. Rami Al-Salman, Data Scientist & Machine Learning Eng, Trivago Rami is a data scientist and machine (deep) learning engineer at Trivago, in this role, he is developing the next generation of recommendations engines that involve heavily AI and machine learning techniques such as Deep Learning. Pau Carré Cardona, Deep Learning Engineer, Gilt Pau Carré is a data science and software engineer at Gilt. Pau has 10 years of experience encompassing software security, IT management, microwave networks profiling, quality engineering and currently deep learning in fashion industry. Ofri Ben Porat, Co-founder & CEO, Pixoneye Ofri has over 10 years' experience in international project management, business development and digital marketing. Previously: Senior Strategic Advisor to the Minister of tourism of Israel for digital and OOH marketing. CEO at Bring-it.co.il CMO at IU30.com BA in Conflict Resolution and Crisis Diplomacy from IDC, Hertzliya.

8 CONFIRMED SPEAKERS Stuart Baker, Lead Data Scientist, John Lewis Partnership Stuart has recently joined the John Lewis Partnership having set up an Artificial Intelligence capability in Thames Water and has experience in delivering AI tools in both the utilities and retail industry. Stuart is looking to quickly deliver innovative tools and develop a new way of working in an extremely competitive market Jekaterina Novikova, Postdoctoral Researcher, Heriot-Watt Uni Jekaterina Novikova works as a postdoctoral researcher in the Interaction Lab / Edinburgh Centre of Robotics at Heriot-Watt University, UK. She received a PhD in Computer Science in December 2015 from the University of Bath, UK. Her research interests lie at the intersection of natural language processing and human-robot interaction. Kostas Perifanos, Lead Machine Learning Engineer, Asos Kostas joined Argos in 2017 as a Lead Machine Learning engineer. Prior to Argos, he worked at Royal Mail, Mailonline, Pearson and in research; he was involved in a broad range of projects from European FP6 research programs to EdTech, Analytics, Search, Predictive Modelling using Machine Learning and AI.

9 REGISTER REGISTER ONLINE: SUPER EARLY BIRD PASS (until 13 Jan) 395 EARLY BIRD PASS (until 7 April) 595 STANDARD PASS 795 STARTUP / ACADEMIC PASS 395 All ticket prices include VAT. What s included in the pass: Access to exhibition area & breakout sessions Breakfast, coffee, lunch Access to exhibition area Access to networking drinks reception Access to video presentations & slides after the event GROUP BOOKING DISCOUNTS Get 20% off when booking 3+ tickets - use discount code TEAM3 Get 30% off when booking 5+ tickets - use code TEAM5 STILL HAVE QUESTIONS? CONTACT CHARLOTTE +44 (0) cmagnall@re-work.co

10 STARTUP SHOWCASE Deepomatic builds game-changing image datasets for companies and helps them solve their challenges by training models and deploying AI APIs. The tasks range from image tagging to pixel-wise segmentation. For this we combine deep-learning with humans-in-the-loop, taking an active learning approach to prioritise tasks, rendering our solution both time and cost efficient. We help scientific laboratories and companies in a number of industries, such as automotive, defence and security, retail, construction. EXHIBITORS BIOS IT is a global IT consultancy and solution provider, focused on delivering the latest high-performance, power efficient IT solutions. Our expertise is firmly held within the high performance computing industry. Over the years, we have worked with a number of the world s leading universities and research facilities to enhance the speed of scientific discovery. With a number of key hardware and software vendors, BIOS IT are able to design and develop unique and We are passionate about delivering service over sales, and provide our clients with bespoke solutions across Contract, Interim, Permanent and Executive Search. Our core focus: Data Science (Machine Learning / Deep Learning) Computer Vision Artificial Intelligence IoT / M2M Data Engineering / Architecture Business Intelligence Advanced Analytics Are you looking to position your company as a thought-leader in the space? Would you like to develop new business opportunities? Partnership packages can include speaking positions, chairing roles, breakout workshops, exhibition, branding, social events and much more. We'd be happy to create custom options to suit your marketing budget and preferences. Contact Pip on pcurtis@re-work.co to discuss opportunities further.

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