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Deep Learning Systems Integrated into the Digital Strategy of a Company Involved in e-commerce

Author

Listed:
  • Robert RUSU

    (Dunarea de Jos University of Galati, Romania)

  • Constantin AVRAM

    (Dunarea de Jos University of Galati, Romania)

Abstract

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.

Suggested Citation

  • Robert RUSU & Constantin AVRAM, 2022. "Deep Learning Systems Integrated into the Digital Strategy of a Company Involved in e-commerce," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 5-10.
    • Handle: RePEc:ddj:fseeai:y:2022:i:1:p:5-10
    DOI: 10.35219/eai15840409238
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    References listed on IDEAS

    as
    1. Lichun Zhou, 2020. "Product advertising recommendation in e-commerce based on deep learning and distributed expression," Electronic Commerce Research, Springer, vol. 20(2), pages 321-342, June.
    2. Nesreen Ahmed & Amir Atiya & Neamat El Gayar & Hisham El-Shishiny, 2010. "An Empirical Comparison of Machine Learning Models for Time Series Forecasting," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 594-621.
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