• 08:00 –

    Registration and Coffee

  • 08:45 –

    Introduction and Welcome – Professor Gautam Mitra, OptiRisk Systems/UCL (Programme Chair)

  • Session Chairperson: Edward Fishwick, Managing Director and Global Co-Head of Risk & Quantitative
    Analysis at BlackRock –

  • JOINT COMMON SESSION WITH AI & ML APPLIED TO INDUSTRY & COMMERCE –

  • 09:00 –

    How I survived the AI winter (& plan to survive the next one)

  • 09:30 –

    News Sentiment Everywhere!

  • 10:15 –

    Hierarchical Natural Language Representation Using Deep Learning

  • 10:45 –

    Introduction to Sponsors

  • 10:50 –

    Coffee

  • 11:15 –

    Enhanced Trading Strategy using Sentiment and Technical Indicators

  • 11:45 –

    Blowing Bubbles: Quantifying How News, Social Media and Contagion Effects Drive Speculative Manias

  • 12:15 –

    Social Trading – Developing Signals from Social Sentiment

  • 12:45 –

    Lunch

  • JOINT COMMON SESSION WITH AI & ML APPLIED TO INDUSTRY & COMMERCE –

  • 13:45 –

    Big is beautiful: How data from email receipts can help predict company sales

  • 14:15 –

    Bringing Data to Life at the Bank of England

  • 14:45 –

    Panel Session: Alternative Data

  • 15:30 –

    Tea

  • 16:00 –

    The Application of AI to Quantitative Systematic Strategies, Opportunities and Risks

  • 16:30 –

    Including News Data in Forecasting the Macroeconomic Performance

  • 17:00 –

    Asset Classification Based on Machine Learning Techniques

  • 17:30 –

    Drinks Reception and Networking

  • Session Chairperson (morning): Professor Gautam Mitra, OptiRisk Systems/UCL –

  • 08:55 –

    Welcome and Introduction to Day 2 – Professor Gautam Mitra, OptiRisk Systems/UCL

  • 09:00 –

    AI-Machine Learning and Deep Learning in FinTech

  • 09:30 –

    Enhanced prediction of sovereign bond spreads through Macroeconomic News Sentiment

  • 10:00 –

    Mining News Topic Codes With Sentiment

  • 10:30 –

    Coffee

  • 11:00 –

    Finding Alpha Signals with Artificial Intelligence + Influencer Analysis + Big Data

  • 11:30 –

    How to measure intangible assets – the missing factor for value investing

  • 12:00 –

    The State of The Art in New Sentiment Visualization

  • 12:30 –

    Lunch

  • JOINT COMMON SESSION WITH AI & ML APPLIED TO INDUSTRY & COMMERCE –

  • 13:30 –

    Panel Session: Does AI Beat Classical Models?

  • Session Chairperson (afternoon): Dr Ronald Hochreiter, Vienna University of Economics and Business –

  • 14:15 –

    How AI Can Predict Crypto Assets by Using Sentiment

  • 14:45 –

    Contemporary Deep Learning Methods for Building Investment Models Based on Graphical Time-series Representations

  • 15:15 –

    Tea

  • 15:45 –

    Rapid Conditioning of Risk Estimates Using Quantified News Flows

  • 16:15 –

    Going Native with Japanese News Analysis

  • 16:45 –

    Machine Learning for Hedge Fund Selection

  • 17:15 –

    Close of Conference

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