Sponsored by ?

This article was paid for by a contributing third party.More Information.

ETRM and CTRM in the AI, machine learning and algorithmic trading ecosystem

The panel

  • Raghu Anantharam, Head of portfolio risk analytics, Olam International
  • Sidharta Dash, Research director, Chartis Research
  • Stella Farrington, Head of content, Energy Risk
  • André Jäger, Senior vice-president, Energy and commodities product management, Openlink
  • Eric Tham, Senior lecturer and consultant of analytics and artificial intelligence, National University of Singapore

With rapid advancements in artificial intelligence (AI), machine learning and their application in algorithmic trading, energy and commodity companies are feeling pressure not to be left behind in the race for efficiency and improved profit margins as these innovations are rolled out in new trading systems.

Often caught up by buzzwords, companies sometimes have little understanding of what the new technology will actually do for them and their employees.

Key topics discussed include:

  • Moving from buzzwords to implementation
  • Where energy trading and risk management, and commodity trading and risk management systems fit into the implementation of new technologies
  • Using new technologies to improve scenario testing
  • Using AI to manage data and access new sources
  • The trader’s role in shaping and using these technologies.

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here