Causal data science - Business use case

Artificial intelligence, machine learning and data are at the heart of the digital revolution that citizens, businesses and administrations are experiencing in recent times. These technologies make it possible to identify patterns in the large volume of data they store, and to generate predictions to customize services and products or to automate processes – but lately they have begun to show some shortcomings in supporting decision-making. This is where causal inference and causal data science come in: they allow you to identify the factors that most directly help influence customers’ decisions and quantify their effect.

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Referència bibliogràfica

  1. Partially supported by the Tecniospring Industry project TECSPR19-1-0005 (EU Horizon 2020 MSCA GA No. 801342).

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