Of the 10 best emerging jobs arising in the last five years, according to LinkedIn's latest report on the new jobs in the United States published in 2020, which occupies the first place is that of specialist in artificial intelligence (AI), withAn annual growth of 74%.A reality confirmed by Carlos López Ariztegui, director of Marketing Programs, Commercial Yy Professor of Strategy, Digital Transformation and Artificial Intelligence at the ESIC International Business School: "Right now there is a high demand for professionals trained for artificial intelligence in any of its dimensions".
"The AI is present today in many of the products and services that we often use: the 'smartphones', the 'smartwatches', the autonomous aspirator, the language translators, the searches on the web, the medical diagnosis by imagesAnd many others, "explains López Ariztegui.For him: "IA has a high sector transversality and many professional profiles are needed, from data engineers with knowledge of automatic learning algorithms to product engineers, marketing responsible that have to understand the effect of AI on the consumer,The new business models and the high impact on customer experience.Also in the departments of finance, logistics and, especially, human resources must know the impact of AI in their respective areas, as well as in the business of the company, the creation of competitive advantages, the necessary resources and capabilities and,Finally, the cultural change that implies being a company driven by this fourth industrial revolution "."Without a doubt,”.
Para López Ariztegui, con una experiencia de más 30 años en el mundo de la tecnología, las telecomunicaciones e internet y que ha trabajado para Apple España, Nokia, Lucent Technologies y AT&T Bell Laboratorios: "Hacen falta expertos en datos, en 'software' con conocimientos en Python, en desarrollo de productos y servicios, en investigación de mercado, en estrategia empresarial, en gestión del cambio cultural..."."AI and automatic learning have been hot topics in 2020, since these technologies are used in many fields, from advanced quantum computer systems and medical diagnostic systems to consumer electronics and personal assistants.It is expected that 'hardware', 'software' and IA services reach 156.500 million dollars worldwide this year (according to IDC AI Trends to Watch 2021), 12.3% more than in 2019.Finally the number of 'startups', entrepreneurs and investors in AI is growing worldwide.There is no doubt that we have a great future ahead, "he says.
On the labor panorama of those who decide to devote themselves to AI, the expert points out: "Today there is already a lack of professionals with digital training.There are millions worldwide.The need to train in AI is not just a topic of technical personnel.It is necessary to train from directors to managers, product heads, marketing responsible, human resources, etc..Without a doubt, the demand for professionals prepared to make decisions in environments dominated by the data, design AI strategies, develop new business models...Among many other functions, it will continue to grow ".
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To conclude, López Ariztegui talks about the capabilities to gather those who are thinking about entering this labor market."You need a balance between technical knowledge, strategic and business vision and personal and directive skills to work in collaborative, agile, innovative, without hierarchies and ambiguity environments," he concludes.
About the postgraduate
POSGRADO EN INTELIGENCIA ARTIFICIAL EN ESICPlazas25-30Inicio del programa14 de mayoDuraciónMás de 200 horas repartidas en 4 meseswww.esic.edu/master-y-postgrado/postgrado-en-inteligencia-artificial-psiaTo train professionals who can meet the present and future demand of these work profiles, the Postgraduate in Artificial Intelligence of ESIC offers a strategic and global approach to how this discipline can help any business or department.It is an adapted and practical training for both an engineer and for a Marquetin head, since the strong point of AI is its great adaptability and applicability for any business area.There are more technical parts, in which it is explained, for example, how neuronal networks or Deep Learning work, but it also has a practical part, in order to get economic performance to these actions.The teaching team is made up of data scientists, general directors, marcquetin and sales, among other profiles.
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