| | JUNE 20218CIOReviewIN MY OPINIONAs 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'sreal skills (that by the way you have to be able to assess during the interview), not because the technology is not fitting your IT department, not because the head of the department is not able to make this person effective in his job but just because your company is unique.You have your processes, teams, and operational procedures already working like a swiss clock, but you probably do not have either data in the right format or data at all. Data Scientists mostly need data to work well, and you need to provide them. Ok, back to the beginning, a Data Scientist sometimes is considered a By Iacopo Ghisio, Head of Artificial Intelligence and Machine Learning Dept. at Gruppo MutuiOnlineHOW DO YOU CREATE A UNICORN IF YOU CAN'T BUY ONE?
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