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Artificial Intelligence Enterprise Management Using Deep Learning.

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Deep learning (DL) in enterprise management, exemplified by China Merchants Bank, enhances marketing and risk control. Implementing DL strategies improves customer satisfaction and business trust.

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Area of Science:

  • Artificial Intelligence
  • Financial Technology
  • Enterprise Management

Background:

  • Deep learning (DL) is increasingly applied in enterprise management.
  • China Merchants Bank (CMB) provides a case study for DL implementation in banking.
  • AI adoption in banking faces challenges in practical application.

Purpose of the Study:

  • To analyze the application status and role of DL in bank enterprise management.
  • To identify challenges in AI implementation within CMB's operations.
  • To propose countermeasures for effective AI integration.

Main Methods:

  • Analysis of AI applications in marketing, risk control, and investment at CMB.
  • Review of CMB's client data and financial growth metrics.
  • Identification of common problems and development of strategic solutions.

Main Results:

  • CMB's APP platforms served over 114 million clients by end of 2019.
  • Significant growth in personal savings (53%) and loans (61%) by 2019.
  • AI integration correlates with improved customer satisfaction and trust.

Conclusions:

  • DL adoption positively impacts key banking metrics and customer relations.
  • Strategic approaches are necessary to overcome AI implementation hurdles.
  • Strengthening AI organization, data, customer focus, risk management, and talent are crucial.