It's easy to see how this kind of technology will be valuable, as customers are overwhelmed by an ever-growing online market, when introducing recommender-style artificial intelligence can cut the time and effort involved in browsing products. But the widespread impact of AI in retail and advertising won't be limited to recommendations in the near future - in fact, it's set to change and improve every corner of the industry.
At the inaugural Deep Learning in Retail & Advertising Summit, taking place in London on 1-2 June, we’ll explore how AI is revolutionising retail worldwide, through inventory forecasting and stock level optimisation, natural language processing (NLP) for personalised shopping experiences, computer vision for sizing efficiency, smart algorithms for fraud detection, and more.
Through bringing together key influencers to share cutting-edge research and real-world retail applications, we can explore how to successfully apply artificially intelligent software to enhance and grow the retail and advertising industries.
We’ve rounded up the top 5 topics not to be missed at the summit:
The fashion industry is a visual world, with millions of images displayed everyday by e-commerce sites to serve consumers the latest trends and products. However, automatically categorizing and searching through large collections of images according with many detailed attributes still remains a challenge.
At the summit, Susana Zoghbi, Postdoctoral Researcher at KU Leuven, will share expertise on deep learning techniques such as computer vision and pattern recognition to automatically identify fine-grained attributes in both images and text in the presence of incomplete and noisy data. This technology will be increasingly paramount for large online stores to continue an upward trajectory in this new era of AI.
Due to the increasing volumes of personal data being generated about each individual consumer, companies are introducing a new generation of AI-enhanced personal data analysis, which is is set to revolutionise retail analytics. By integrating sensors and automatic feature learning, it is now possible to gather a detailed trace of your life activities and experiences, and scientists are utilising these advancements to improve customer lifetime value (CLTV). Accuracy in CLTV allows retailers to better allocate marketing spend, identify and nurture high value customers, minimise exposure to unprofitable customers and attribute value to indirect marketing such as content production.
We'll explore this further with customer analytics experts Ben Chamberlain, Senior Data Scientist at ASOS, and Cathal Gurrin, Senior Lecturer at Dublin City University, on 1-2 June, delving further into customer "lifelogs" and big data, and how to leverage these new technologies for better customer understanding.
The Deep Learning in Retail & Advertising Summit is a unique opportunity to interact with the influential technologists, data scientists, CTOs, founders and software engineers leading a new era of retail. Confirmed attendees include Amazon, Tesco, Trivago, Kohl's, Zalando, ASOS and Staples, as well as leading academic institutions and exciting new startups.
Join the event to learn from and connect with over 200 prominent innovators sharing best practices for a positive impact in this sector. For more information and to register, visit the event website here.
Tickets are limited for this summit! Previous events have sold out, so please book early to avoid disappointment.Suggest a speaker for the event here.
Neural Networks Machine Learning Deep Learning Algorithms Deep Learning Computer Vision AI Retail Finance Stock Level Optimisation Personalised Shopping Targeted Marketing Fraud Detection Retail Deep Learning in Retail & Advertising Summit Adtech