• 08:30

    REGISTRATION & LIGHT BREAKFAST

  • 09:15

    WELCOME

  • CURRENT AI LANDSCAPE & TRENDS

  • 09:30

    Deep Learning in Micro-Moment of Shopping

  • 09:50

    Predicting Purchases using Deep Learning

  • 10:10

    Using AI to Estimate Customer Life Time Value (CLTV) in E-commerce

  • 10:30

    COFFEE

  • NATURAL LANGUAGE PROCESSING

  • 11:25

    German Customer Complaints Classification

  • 11:50

    Learning Cheap and Novel Flight Itineraries

  • COMPUTER VISION & IMAGE RECOGNITION

  • 12:10

    Using Computer Vision to Predict Fashion Trends

  • 12:30

    Using Deep Learning to Identify Human Behaviour with Photographs

  • 12:50

    Learning Where & When to Look

  • 13:10

    LUNCH

  • 14:10

    Improving Online Customer Shopping Experience with Computer Vision

  • PERSONALISATION & CUSTOMER BEHAVIOUR

  • 14:30

    Data-Driven Food Recommendations

  • 14:50

    Understanding Your Customers and Products Better with Neural Network Embeddings

  • COFFEE

  • SEARCH & RECOMMENDATIONS

  • 16:00

    AI for Recommender Systems

  • 16:20

    Embeddings in the Real World: Two Case Studies

  • 16:40

    How Are Recommendations Changing? Using ML to Disrupt Retail & Advertising

  • 17:00

    CONVERSATION & DRINKS

  • 08:30

    DOORS OPEN

  • 09:15

    WELCOME

  • STARTUP SESSION

  • 09:30

    How to Solve Product Classification Challenge for Marketplaces in the Wild

  • 09:45

    Contextual Understanding of Photo Galleries

  • 10:00

    Using Deep Learning in Website Building

  • 10:15

    ML for Online Supermarkets - From Convenient to Smart Shopping

  • 10:30

    Deep Learning for Product Faceting and Similarity

  • 10:50

    COFFEE

  • AI APPLICATIONS

  • 11:35

    Finding Similar Listings Using Visual Similarity

  • 12:00

    Transfer Learning to Decipher Customer Reviews

  • 12:20

    Word Embeddings and Their Applications

  • 12:40

    LUNCH

  • DATA ANALYTICS

  • 13:45

    Understanding the Drivers Behind Localised Market Share Inequalities Across Product Lines

  • 14:05

    Next Generation Consumer Analytics

  • 14:25

    PANEL: How to Avoid Getting Left Behind in a Data-Driven Future

  • 15:00

    END OF SUMMIT

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