I think there's a parallelism between my music journey and how to develop a career in AI.
I’ve lived outside of my home country for 5 years. That means that for 5 years I’ve bought groceries, asked for directions, made friends, argued, dated and a bunch of other stuff in a language that is not my mother tongue.
Innovation requires fast iteration cycles. And so does my mum's cake.
A good AI project has a strong intersection between business and technology. These two worlds are often in the hands of different people within an organization. Who should be in charge of AI projects then?
As technology evolves and becomes more democratic, the winners will be the organizations that are best at integrating it in their DNA, rather than who can write the best code. To make this happen, empathy has to be in your arsenal - practice it.
Often people ask me "How do I become a Data Scientist?". In this post I introduce a framework to understand whether you really want to become a Data Scientist, and how to build your path to becoming one.
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