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Quantitative Modelling in Commodity Markets

Incorporating evolution in quantitative methods such as artificial intelligence, machine learning, and deep learning to improve models for commodity markets

23-25 September 2019
London Marriott Hotel Canary Wharf, United Kingdom

Conference Workshop

Overcome key challenges associated with the practical implementation of deep learning in commodity marlets

This workshop will allow delegates to understand how and where deep learning techniques can be best implemented in commodity markets, how to ensure that the models drive tangible results and address key challenges associated with the practical implementation of deep learning in commodity markets.

Workshop Moderator: Raghu Ramachandran, Founder and CEO

Company: Advira Ltd.

Why You Should Attend

Quantitative Modelling in Commodity Markets

Trading houses and financial institutions are searching for a competitive edge to stay relevant in the business, frequently that edge is being found in AI techniques, either replacing or being used in combination with the traditional methods of modelling. The key now is to ensure you understand where, how, and which AI techniques will improve your risk management and forecasting models in commodity markets, account for intermittency of renewables and improve your volatility and correlation models.

This marcus evans event will assess how commodity trading firms are utilising AI, ML and data science to enhance risk forecasting and modeling of their commodities in order to gain a competitive edge.

Key Topics

  • Louis Dreyfus assess key trends in the commodities market: Understand where, how and when you can begin to implement AI technologies in commodities?
  • Shell provide an overview of scale-up architecture, with a focus on Apache Spark
  • Marquard & Bahls discuss the practicalities of implementing an end-to-end digital risk management process
  • Uniper explain how to build a digital platform for the data economy
  • Centrica deep dive into application of AI and machine learning methods to improve market analysis and forecasting in commodities
  • Previous Attendees Include

    • APG
    • Dong Energy
    • Drax Power
    • Edison Trading
    • Elektro Ljubljana
    • Elia
    • Endesa
    • Energi Danmark
    • ESB
    • Eurelectric
    • EON
    • Gaelectric
    • Innogy
    • National Grid
    • RSE
    • Shell Energy Europe
    • Swissgrid
    • Statnett
    • Svenska Kraftnat
    • TenneT
    • Uniper
    • Vattenfall

    Why Choose marcus evans?

    marcus evans specialises in the research and development of strategic events for senior business executives. From our international network of 63 offices, marcus evans produces over 1000 event days a year on strategic issues in corporate finance, telecommunications, technology, health, transportation, capital markets, human resources and business improvement.

    Above all, marcus evans provides clients with business information and knowledge which enables them to sustain a valuable competitive advantage and makes a positive contribution to their success.

    Event Sponsors
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    Event Partners

    Practical Insights From

    Wayne Jones
    Data Science Lead

    Nazim Osmancik
    VP, Group Economics and Fundamentals

    Umid Akhmedov
    Director, Head of Data and Analytics

    Ren Greiner
    Head of Data Integration

    Rafael Molinero
    Molinero Capital Management

    Martin Dru
    Former CRO
    BayWa Agrar International B.V.

    Erkan Kalayci
    Manager Trading and Origination
    EWE Enerji

    Nathalie Saint-Geours
    Lead Data Scientist

    Click Here For Full Agenda

    Voice of Our Customers
    • “Good place, nice organisation and good subjects”, Societe Generale
    • “Fantastic opportunity to gain insight into common data management best practises across financial institutions!” Barclays Africa
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    Event Contact

    For all enquiries regarding speaking, sponsoring and attending this conference contact:

    Alexia Mavronicola

    marcus evans Cyprus
    9 Dimostheni Severi Str.
    Nicosia, 1080

    +357 22 849 425
    Fax: +357 22 849 394