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Post by account_disabled on Mar 4, 2024 3:38:02 GMT -5
In October 2012, Harvard Business Review predicted that the data scientist profession would be the "sexiest of the 21st century." For the moment, everything indicates that they were right. Proof of this is that, if we perform a search on Google Trends for the English term "data science", we see that interest in this discipline has only grown. After a decade, the same magazine confirmed in another article that, although the profession continued to be the sexiest of the century, it had evolved. Now we will see how. Currently, the data scientist is indispensable in those companies that aim to take advantage of digital technologies . As a consequence, roles and responsibilities have been more precisely defined and the way in which these professionals can provide great value. For this reason, the best data scientists are not only good at mathematics, statistics and computing, but they also understand business. But, to better understand this evolution, we must first clarify what data science is and what it is for. CTA Post What is data science? Data science is a multidisciplinary area of knowledge. That is, it is born from the combination of several scientific disciplines: statistics, mathematics and computer science applied to data analysis in various industries or business areas. Its objective is the resolution of complex problems that require advanced data processing and analysis , applied to industries of any type. Data science is part of the artificial intelligence that has been on everyone's lips since the launch of ChatGPT in November 2022. According to the leading Europe Mobile Number List American consulting firm McKinsey , companies that use these technologies are achieving, in just five years, double the income compared to those that do not use them. Data science and artificial intelligence are powerful tools for brand differentiation in highly competitive markets . In this sense, some sectors that have stood out for their rapid and fruitful adoption are banking, the pharmaceutical and health sector, marketing and sales, and distribution.  What types of data scientists are there? The evolution of the role of data scientists has been primarily due to two factors. Firstly, to the full integration of the data scientist role within the organization , providing business-specific skills and knowledge. A data scientist reaches his greatest potential when he understands the purpose of the products he develops. For this reason, specific training already includes the development of skills beyond merely analytical or technical skills. Secondly, in the world of data science, the most complex analyzes are also those that generate the most value for organizations and society. This fact is perfectly reflected in the analytical value ladder of another leading consulting firm, Gartner . To perform increasingly complex analyses, increasingly sophisticated computing technologies are also needed . This is where cloud computing comes into play . As these are very varied and complex technologies, data scientists have had to opt for specialization, giving rise to multiple profiles. This high degree of specialization is also common in other areas of knowledge, such as medicine or engineering. Therefore, we can find data scientists who perform very different tasks within the same work team. |
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Post by account_disabled on Mar 4, 2024 21:59:24 GMT -5
In October 2012, Harvard Business Review predicted that the data scientist profession would be the "sexiest of the 21st century." For the moment, everything indicates that they were right. Proof of this is that, if we perform a search on Google Trends for the English term "data science", we see that interest in this discipline has only grown. After a decade, the same magazine confirmed in another article that, although the profession continued to be the sexiest of the century, it had evolved. Now we will see how. Currently, the data scientist is indispensable in those companies that aim to take advantage of digital technologies . As a consequence, roles and responsibilities have been more precisely defined and the way in which these professionals can provide great value. For this reason, the best data scientists are not only good at mathematics, statistics and computing, but they also understand business. But, to better understand this evolution, we must first clarify what data science is and what it is for. CTA Post What is data science? Data science is a multidisciplinary area of knowledge. That is, it is born from the combination of several scientific disciplines: statistics, mathematics and computer science applied to data analysis in various industries or business areas. Its objective is the resolution of complex problems that require advanced data processing and analysis , applied to industries of any type. Data science is part of the artificial intelligence that has been on everyone's lips since the launch of ChatGPT in November 2022. According to the leading Europe Mobile Number List American consulting firm McKinsey , companies that use these technologies are achieving, in just five years, double the income compared to those that do not use them. Data science and artificial intelligence are powerful tools for brand differentiation in highly competitive markets . In this sense, some sectors that have stood out for their rapid and fruitful adoption are banking, the pharmaceutical and health sector, marketing and sales, and distribution. What types of data scientists are there? The evolution of the role of data scientists has been primarily due to two factors. Firstly, to the full integration of the data scientist role within the organization , providing business-specific skills and knowledge. A data scientist reaches his greatest potential when he understands the purpose of the products he develops. For this reason, specific training already includes the development of skills beyond merely analytical or technical skills. Secondly, in the world of data science, the most complex analyzes are also those that generate the most value for organizations and society. This fact is perfectly reflected in the analytical value ladder of another leading consulting firm, Gartner . To perform increasingly complex analyses, increasingly sophisticated computing technologies are also needed . This is where cloud computing comes into play . As these are very varied and complex technologies, data scientists have had to opt for specialization, giving rise to multiple profiles. This high degree of specialization is also common in other areas of knowledge, such as medicine or engineering. Therefore, we can find data scientists who perform very different tasks within the same work team. |
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