8 | | SEPTEMBER - 2021HOW DO YOU CREATE A UNICORN­ As most of you probably know, Data Science is not a new discovery in the world of Innovation. Artificial Intelligence, Machine Learning, Advanced Analytics are just rebranding of science born more or less 100 years ago but tied up due to lack of computational resources. Thanks to a recent, last decade, boost in hardware resources, Data Science now has its deserved success.What companies are seeing since then, it's a ramp-up in reputation and salary of all those people smart, lucky, passionate, and competent enough to manage and build their career in such a complex ecosystem of tools and technologies that enable Data Science at the corporate level.I am probably going to say something that happened to most of you that had the duty of hiring team members if I say that it's common to find or being offered for a "highly skilled technical profile active in DS world willing to change for an opportunity." That's it! Those profiles are quite a few compared to the need, hence either you're going to have the right budget, or you won't be able to hire them; only, later on, you will realize that it's not a good fit in your organization or the results are not in line with expectations. Not because of the person's real skills (that by the way you have to be able to assess during the interview), not because the technology is By Iacopo Ghisio, Head of Artificial Intelligence and Machine Learning Dept. at Gruppo MutuiOnlineIF YOU CAN'T BUY ONE?IN MY OPINIONData Scientist sometimes is considered a unicorn because of the skill set required for hitting the ground running and save the day and the budget
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