In this episode I speak to Alexander Denev, co-author of The Book of Alternative Data and until recently a lecturer in the subject at Oxford University.
Alexander’s alternative data experience is vast, and in our conversation we cover a range of topics and use cases: from how to differentiate causality from correlation, to the use of alternative data to make predictions about the oil price, to the use of survey data in a model, to Fair AI and the future of Alternative Data.
As an aside I would like to congratulate previous guest JP Gravitt on gaining a new position with Neuravest.
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