{"id":448018,"date":"2020-02-19T21:01:25","date_gmt":"2020-02-19T21:01:25","guid":{"rendered":"http:\/\/www.moldova.org\/en\/?p=448018"},"modified":"2021-05-05T19:29:54","modified_gmt":"2021-05-05T19:29:54","slug":"global-talent-competitiveness-index-moldova-when-it-comes-to-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.moldova.org\/en\/global-talent-competitiveness-index-moldova-when-it-comes-to-artificial-intelligence\/","title":{"rendered":"Global Talent Competitiveness Index: Moldova when it comes to Artificial Intelligence"},"content":{"rendered":"Reading Time: <\/span> 2<\/span> minutes<\/span><\/span>

The 7th edition of the Global Talent Competitiveness Index (GTCI)<\/strong> addressed the topic\u00a0Global Talent in the Age of Artificial Intelligence. <\/em>The index is used to rank 132 national economies, across all groups of income and levels of development, that representing 97% of the world\u2019s GDP and 94% of its population. The report<\/a> referred, first of all, to the level of innovation and technology development,\u00a0exploring how the development of Artificial Intelligence (AI) is not only changing the nature of work but also forcing a re-evaluation of workplace practices, corporate structures and innovation ecosystems.<\/p>\n

This year, Moldova ranked 86th<\/strong> out of 132 analysed economies, being ranked behind the neighbouring countries such as Ukraine and Romania, which ranked 66th and 64th, respectively.<\/p>\n

The countries that are best positioned to benefit from the AI revolution<\/a> are also the most developed countries in the world, especially when it comes to the competitiveness and potential of attracting and training best professionals. Top ten countries in the ranking are Switzerland, the United States of America, Singapore, Sweden, Denmark, the Netherlands, Finland, Luxembourg, Norway and Australia.<\/p>\n

New York, London, Singapore, San Francisco, Boston, Hong Kong, Paris, Tokyo, Los Angeles and Munich are among the most developed cities in this regard.<\/p>\n\n[aesop_image img=”http:\/\/www.moldova.org\/en\/wp-content\/uploads\/sites\/2\/2020\/02\/index2.jpg” align=”left” lightbox=”on” caption=”source: insead.edu” captionposition=”left” revealfx=”off”]\n\n[aesop_image img=”http:\/\/www.moldova.org\/en\/wp-content\/uploads\/sites\/2\/2020\/02\/index3.jpg” align=”right” lightbox=”on” caption=”source: insead.edu” captionposition=”left” revealfx=”off”]\n\n\n

GTCI highlights<\/h3>\n

One of the most important observations made in the GTCI report for 2020 is that the gap between talent champions (almost all of them high-income countries) and the rest of the world is widening. Still, AI may provide significant opportunities for emerging countries to leapfrog.<\/p>\n

The top of the GTCI rankings is still dominated by Europe, including the Nordic countries –\u00a0a significant number of small high-income economies, many of them being either landlocked, island or quasi-island economies, including Switzerland (1st), Singapore (3rd), Luxembourg (8th), Iceland (14th) or Austria (17th).<\/p>\n

According to the report, the key factor is developing relatively open socio-economic policies in which talent growth and management are central priorities in the age of AI.<\/span><\/strong><\/p>\n

Moldova<\/h3>\n

Moldova managed to get a score of 36.64, being ranked 86th out of 132 countries. It was classified as lower-middle income country and ranked 7th out of 32 countries included in this category. The country’s talent competitiveness index weakened as compared to the period between 2015-2017, when it was listed around the 61st position.<\/p>\n

Moldova was evaluated with the highest scores for such aspects as gender development gap, ease of doing business, number of female graduates, competition intensity and political stability, while the lowest scores were given for its share of R&D expenditure, robot density, university ranking, number of registered researchers, scientific journal articles, labour productivity per employee, new business density and collaboration across organisations.<\/p>\n

This year\u2019s model of the GTCI index includes a total of 70 variables, up from 68 indicators used in the GTCI 2019.<\/p>\n

\"\"

source: insead.edu<\/p><\/div>\n

Photo: cambridgealert.com<\/p>\n","protected":false},"excerpt":{"rendered":"

Reading Time: <\/span> 2<\/span> minutes<\/span><\/span>The 7th edition of the Global Talent Competitiveness Index (GTCI) addressed the topic\u00a0Global Talent in the Age of Artificial Intelligence. The index is used to rank 132 national economies, across all groups of income and levels of development, that representing 97% of the world\u2019s GDP and 94% of its population. The report referred, first of […]<\/p>\n","protected":false},"author":31,"featured_media":448021,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,4,8],"tags":[561,605,603,602,35,461,606,27,124,604,84],"class_list":["post-448018","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-economy","category-society","category-world-news","tag-561","tag-artificial-intelligence","tag-competitiveness","tag-global","tag-important","tag-index","tag-innovation","tag-moldova","tag-report","tag-talent","tag-technology"],"content_social_share":"Reading Time: <\/span> 2<\/span> minutes<\/span><\/span>

The 7th edition of the Global Talent Competitiveness Index (GTCI)<\/strong> addressed the topic\u00a0Global Talent in the Age of Artificial Intelligence. <\/em>The index is used to rank 132 national economies, across all groups of income and levels of development, that representing 97% of the world\u2019s GDP and 94% of its population. The report<\/a> referred, first of all, to the level of innovation and technology development,\u00a0exploring how the development of Artificial Intelligence (AI) is not only changing the nature of work but also forcing a re-evaluation of workplace practices, corporate structures and innovation ecosystems.<\/p>\n

This year, Moldova ranked 86th<\/strong> out of 132 analysed economies, being ranked behind the neighbouring countries such as Ukraine and Romania, which ranked 66th and 64th, respectively.<\/p>\n

The countries that are best positioned to benefit from the AI revolution<\/a> are also the most developed countries in the world, especially when it comes to the competitiveness and potential of attracting and training best professionals. Top ten countries in the ranking are Switzerland, the United States of America, Singapore, Sweden, Denmark, the Netherlands, Finland, Luxembourg, Norway and Australia.<\/p>\n

New York, London, Singapore, San Francisco, Boston, Hong Kong, Paris, Tokyo, Los Angeles and Munich are among the most developed cities in this regard.<\/p>\n\n[aesop_image img=”http:\/\/www.moldova.org\/en\/wp-content\/uploads\/sites\/2\/2020\/02\/index2.jpg” align=”left” lightbox=”on” caption=”source: insead.edu” captionposition=”left” revealfx=”off”]\n\n[aesop_image img=”http:\/\/www.moldova.org\/en\/wp-content\/uploads\/sites\/2\/2020\/02\/index3.jpg” align=”right” lightbox=”on” caption=”source: insead.edu” captionposition=”left” revealfx=”off”]\n\n\n

GTCI highlights<\/h3>\n

One of the most important observations made in the GTCI report for 2020 is that the gap between talent champions (almost all of them high-income countries) and the rest of the world is widening. Still, AI may provide significant opportunities for emerging countries to leapfrog.<\/p>\n

The top of the GTCI rankings is still dominated by Europe, including the Nordic countries –\u00a0a significant number of small high-income economies, many of them being either landlocked, island or quasi-island economies, including Switzerland (1st), Singapore (3rd), Luxembourg (8th), Iceland (14th) or Austria (17th).<\/p>\n

According to the report, the key factor is developing relatively open socio-economic policies in which talent growth and management are central priorities in the age of AI.<\/span><\/strong><\/p>\n

Moldova<\/h3>\n

Moldova managed to get a score of 36.64, being ranked 86th out of 132 countries. It was classified as lower-middle income country and ranked 7th out of 32 countries included in this category. The country’s talent competitiveness index weakened as compared to the period between 2015-2017, when it was listed around the 61st position.<\/p>\n

Moldova was evaluated with the highest scores for such aspects as gender development gap, ease of doing business, number of female graduates, competition intensity and political stability, while the lowest scores were given for its share of R&D expenditure, robot density, university ranking, number of registered researchers, scientific journal articles, labour productivity per employee, new business density and collaboration across organisations.<\/p>\n

This year\u2019s model of the GTCI index includes a total of 70 variables, up from 68 indicators used in the GTCI 2019.<\/p>\n

\"\"

source: insead.edu<\/p><\/div>\n

Photo: cambridgealert.com<\/p>\n

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