In this episode, we chat with Dan Jermyn, Chief Decision Scientist for Commonwealth Bank of Australia, about an artificial intelligence-enabled digital system the bank uses to communicate with its 15 million+ customers. As you’ll hear in the episode, Dan has a track record of leading teams involved in creating groundbreaking data-driven tools for the financial sector in both the UK and Australia. We invited him to join us today to talk about the Customer Engagement Engine or CEE – a system that uses customer data and artificial intelligence to help the bank communicate with its customers across all of its platforms. CEE is fast becoming a fundamental part of how CBA thinks about engaging with its customers, and is one example of how digital infrastructure with the capacity to connect data to action has the potential to shape the future.

This episode was inspired by work co-host Liz Williams has been doing on the Algorithmic Futures Policy Lab, a collaboration between the Australian National University (ANU) Centre for European Studies, ANU School of Cybernetics, ANU Fenner School of Environment and Society, DIMACS at Rutgers University, and CNRS LAMSADE. The Algorithmic Futures Policy Lab is supported by an Erasmus+ Jean Monnet grant from the European Commission.

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The European Commission support for the Algorithmic Futures Policy Lab does not constitute an endorsement of the contents of the podcast or this webpage, which reflect the views only of the speakers or writers, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

All information we present here is purely for your education and enjoyment and should not be taken as advice specific to your situation.

Episode Credits

Podcast Creator – Liz Williams

Hosts – Zena Assaad, Liz Williams

Guest – Dan Jermyn

Producers – Zena Assaad, Liz Williams

Assistant producer – Brenda Martin

Episode artwork – Zena Assaad

Audio editing – Liz Williams