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IA: The future of international trade

$ 8,99

  USD

New trends and the future of world trade

This E-book is an essential guide to understanding and harnessing the unlimited potential of AI in the international arena; it explores how AI is transforming global business processes from logistics, inventory management, emerging trends that will shape the future of global trade, to personalizing the customer experience, highlighting practical applications and case studies. It also examines the challenges and ethical considerations that arise with this technological revolution.

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Description

  • About the author
  • Preface
  1. Introduction
    1. Definition of Artificial Intelligence (AI) in the context of international trade
    2. Impact of AI on international trade
  2. The Role of AI in International Trade
    1. Automation of repetitive and manual tasks
    2. Improved strategic decision making
    3. Personalization of the customer experience
    4. Creation of new innovative products and services
  3. Practical Applications of AI in International Trade
    1. Leading Countries in the Adoption of AI in International Trade
    2. Leading Sectors for AI Adoption in International Trade
    3. Cases of companies using AI in their processes
    4. JD.COM case study
    5. AI tools currently being upgraded in international trade
  4. Ethical Challenges and Considerations
  5. The Future of AI in International Trade
    1. Emerging Trends in AI for International Trade
    2. Future Technologies Driving AI in International Trade
    3. Possible Scenarios for the Future of AI in International Trade
    4. How to prepare for the future of AI in international trade
  6. Recommendations for Companies and Professionals
    1. Define a clear strategy aligned with business objectives.
    2. Carefully evaluate the available AI technologies and solutions.
    3. Prepare the necessary infrastructure and data
    4. Develop the necessary skills and culture within the organization.
    5. Consider the ethical and legal implications of AI.
    6. Monitor and evaluate the performance of AI solutions.
  7. Conclusions
  • Bibliography

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