Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/31354
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEnin, S.-
dc.date.accessioned2018-05-04T08:43:28Z-
dc.date.available2018-05-04T08:43:28Z-
dc.date.issued2018-
dc.identifier.citationEnin, S. Ficial Intelligence to Retrieve Company`s Culture / S. Enin // BIG DATA Advanced Analytics: collection of materials of the fourth international scientific and practical conference, Minsk, Belarus, May 3 – 4, 2018 / editorial board: М. Batura [etc.]. – Minsk, BSUIR, 2018. – Р. 97.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/31354-
dc.description.abstractThere are many arguing regarding the role of HR department in companies nowadays. Some say HR department is overrated, some say HR is a core department in any organization. All debates represent the evolving role of HR in the young changing world. Artificial Intelligence can help HR to become more modern and more human-oriented using organization data. Beyond all question, companies shall perform people analytics to assess the effectiveness of people practices, programs, and processes. It has recently become possible to utilize Big Data, Information Retrieval, Data Science and Machine learning for such purpose. In this presentation, the methodology of applying Big Data/Machine Learning will be presented as they used to boost HR practices. The case study of how the methodology was implemented for the digital financial organization to power people analytics will be presented as well.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectcompany`s cultureru_RU
dc.subjectHRru_RU
dc.subjectData Scienceru_RU
dc.titleFicial Intelligence to Retrieve Company`s Cultureru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)

Files in This Item:
File Description SizeFormat 
Enin_Ficial.PDF260,32 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.