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By Pola Strauss, partner and co-founder of the data consultancy Daat Analytics. An economist by ITAM, with experience in the private and public sector. Most recently, Pola served as the head of the Analytics team (CAO) at a leading non-profit organization.

Looking back over my professional career, I can see that it has always undergone changes, but each time with the aim of taking on even greater challenges. The last one, as a data scientist, which I entered five years ago, is no exception, since it has long been the trendy irruption with the emergence of models based on artificial intelligence.

As an economist by training, numbers have always been my passion and mathematics and statistics my favorite tools. Numbers know and remember. That is why it is clear to me that we have been living in the era of the data economy for some time now. What does this mean? Let's start with the concept. By definition, artificial intelligence is the basis on which human intelligence processes are imitated through the creation and application of algorithms created in a dynamic computing environment.

Women at the forefront of the debate, leading the way to a more inclusive and equitable dialogue. Here, diversity of thought and equitable representation across sectors are not mere ideals; they are the heart of our community.