УДК 378.014.6:007-057.875=111 | DOI: https://doi.org/10.31617/zt.knute.2019(104)11 | |
РОСКЛАДКА Андрей, E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. ORCID: 0000-0002-1297-377X |
д. э. н., профессор, заведующий кафедрой кибернетики и системного анализа Киевского национального торгово-экономического университета ул. Киото, 19, г. Киев, 02156, Украина |
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ИВАНОВА Елена, E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. ORCID: 0000-0002-0904-7468 |
к. э. н., доцент кафедры кибернетики и системного анализа Киевского национального торгово-экономического университета ул. Киото, 19, г. Киев, 02156, Украина |
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КУЛАЖЕНКО Владимир, E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. ORCID: 0000-0002-3535-3442 |
к. э. н., старший преподаватель кафедры кибернетики и системного анализа Киевского национального торгово-экономического университета ул. Киото, 19, г. Киев, 02156, Украина |
DATA SCIENTIST: ВЗГЛЯД В БУДУЩЕЕ
Представлен комплексный системный подход к определению квалификационных характеристик DataScientist– новейшей профессии в области анализа данных. Доказана несостоятельность традиционных методов преодоления проблем обработки больших данных и преимущества технологии DataMiningв решении этих проблем. Рассмотрены примеры практической деятельности DataScientists. Проведен анализ подготовки специалистов-аналитиков в системе высшего образования Украины.
Ключевые слова: DataScientist, DataMining, BigData, системный анализ, искусственный интеллект, бизнес-аналитика, интеллектуальный анализ данных.
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