{"id":299,"date":"2024-09-11T23:47:04","date_gmt":"2024-09-11T23:47:04","guid":{"rendered":"https:\/\/pasaulioprojektai.lt\/index.php\/2024\/09\/11\/kaip-masininis-mokymasis-uztikrina-naujos-kartos-talentu-igijimo-procesus-mazoms-imonems\/"},"modified":"2024-09-11T23:47:04","modified_gmt":"2024-09-11T23:47:04","slug":"kaip-masininis-mokymasis-uztikrina-naujos-kartos-talentu-igijimo-procesus-mazoms-imonems","status":"publish","type":"post","link":"https:\/\/pasaulioprojektai.lt\/index.php\/2024\/09\/11\/kaip-masininis-mokymasis-uztikrina-naujos-kartos-talentu-igijimo-procesus-mazoms-imonems\/","title":{"rendered":"Kaip ma\u0161ininis mokymasis u\u017etikrina naujos kartos talent\u0173 \u012fgijimo procesus ma\u017eoms \u012fmon\u0117ms"},"content":{"rendered":"


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2024 m. rugs\u0117jo 11 d <\/time><\/span><\/p>\n


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Tebesit\u0119siantis dirbtinio intelekto bumas \u012f talent\u0173 \u012fgijimo pasaul\u012f \u012ftrauk\u0117 pa\u017eangiausius ma\u0161ininio mokymosi (ML) procesus. Si\u016blydamas precedento neturint\u012f automatizavim\u0105, kokybi\u0161kas duomen\u0173 \u012f\u017evalgas ir galingus tikrinimo \u012frankius, ML gali pakeisti \u012fmoni\u0173 pasiekiamum\u0105, kai atranda tinkamus samdomus asmenis. Remiantis naujausiu \u201eMercer\u201c tyrimu, tik 23 % \u012fmoni\u0173 prad\u0117jo naudoti dirbtin\u012f intelekt\u0105 savo tikrinimo procese, kad pa\u0161alint\u0173 \u0161ali\u0161kum\u0105 ir optimizuot\u0173 naujus samdymus, tod\u0117l dabar yra puikus metas atskleisti talentus prie\u0161 konkurentus. \u012emon\u0117ms, norin\u010dioms optimizuoti \u012fdarbinimo procesus, ML gali padidinti j\u0173 samdymo tikslum\u0105. Tarptautin\u0117ms \u012fmon\u0117ms, tokioms kaip …… <\/p>\n

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Dmitrijus Spilka <\/p>\n

Dmytro yra technologij\u0173 ir finans\u0173 ra\u0161ytojas, \u012fsik\u016br\u0119s Londone. Jo darbai buvo publikuoti Nasdaq, Kiplinger, Financial Express, The Diplomat, IBM, Investment Week ir FXStreet.<\/span><\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n


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2024 m. rugs\u0117jo 11 d Skaityti 3 min Tebesit\u0119siantis dirbtinio intelekto bumas \u012f talent\u0173 \u012fgijimo pasaul\u012f \u012ftrauk\u0117 pa\u017eangiausius ma\u0161ininio mokymosi (ML) procesus. Si\u016blydamas precedento neturint\u012f automatizavim\u0105, kokybi\u0161kas duomen\u0173 \u012f\u017evalgas ir galingus tikrinimo \u012frankius, ML gali pakeisti \u012fmoni\u0173 pasiekiamum\u0105, kai atranda tinkamus samdomus asmenis. Remiantis naujausiu \u201eMercer\u201c tyrimu, tik 23 % \u012fmoni\u0173 prad\u0117jo naudoti dirbtin\u012f intelekt\u0105 […]<\/p>\n","protected":false},"author":1,"featured_media":300,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[3],"tags":[155,158,97,153,149,157,150,152,156,154,151],"class_list":["post-299","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologijos","tag-igijimo","tag-imonems","tag-kaip","tag-kartos","tag-masininis","tag-mazoms","tag-mokymasis","tag-naujos","tag-procesus","tag-talentu","tag-uztikrina"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t