NOVEMBER 201819The most important skill of a data scientist is asking the right question about datadata science irreplaceable. It is the human factor.The key to turning data into insight lies in what we can do that machines can't. Curiosity. We all have access to Google, with billions of data points in Google, but it's your curiosity that determines what you learn and what you search for, and therefore, also what you filter and how you discover what is relevant to you.Empathy is the key to connect with others and to understand what other people need. Creativity is the key to invent and articulate solutions to solve problems. Communications is the key to persuade to influence and to spark ideas that create change. And leadership is the key to step up and move all these people to action. And, at the center of these all, is curiosity. Because it is the curiosity for emotions, that drives empathy. It is curiosity for ideas that drive imagination, it is the curiosity for solutions that drive creativity, it is the curiosity for influencing that drives communication. And it is the curiosity for results that in the end, that drives leadership.The most important skill of a data scientist is asking the right question about data. It is the curiosity of a data scientist that make them ask those right questions, to iterate and to understand human issues to imagine the possibilities to create an articulate solution, to convey the message and the insights with the right visuals to make them actionale. Those are the key elements that turn data into something meaningful. It is a set of skills that no artificial intelligence can match. It is the intersection of technology and liberal arts where the magic happens. If the renaissance of 14th and the 17th century was a force that drove humanity of the middle ages into the modern era, the big data renaissance is already unveiling endless possibilities to push human race forward with the power of data. It is up to us to imagine what data and machines will do for us.It is the curiosity of a data scientist makes them ask those right questions. It is important to remember that a fool with a tool is still a fool. Big data is not only about technology. Big data needs big brains, big data needs the curious brain of an artist to make a difference.
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