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  • 标题:Deep Learning Systems Integrated into the Digital Strategy of a Company Involved in e-commerce
  • 本地全文:下载
  • 作者:Robert RUSU ; Constantin AVRAM
  • 期刊名称:Annals of Dunărea de Jos University. Fascicle I : Economics and Applied Informatics
  • 印刷版ISSN:1584-0409
  • 出版年度:2022
  • 卷号:28
  • 期号:1
  • 页码:5-10
  • DOI:10.35219/eai15840409238
  • 语种:English
  • 出版社:Dunarea de Jos University of Galati
  • 摘要:The digital transformation is the current challenge of society, and especially in the conditions generated by the events of the last two years, this transformation has become somewhat indispensable. For some areas the digital transformation is still in the testing and controversy stage, for other areas this transformation has proven to be effective over time. Starting from this idea of digital transformation, this study will not only list the advantages and disadvantages of this phenomenon, but we will try to go into detail in the field of digitization and see a number of mechanisms that set these processes, more precisely we will try to identify how deep learning influences the digital transformation, based on a case study on a company involved in e-commerce, which tested the functionalities of AI Media, a platform able to perform analyzes in image recognition, geolocation and hypertargeting.
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