Embodied AI, as an important direction in the development of artificial intelligence, is reshaping service models in the financial sector. This technology embeds intelligent systems into physical entities or virtual carriers, enabling them to perceive the environment, make autonomous decisions, and execute actions. For example, in pension management scenarios, embodied AI can be applied to smart customer service robots that leverage natural language processing (NLP) and voice recognition technologies to promptly address inquiries about account information and benefit calculations, while incorporating simulated body language (e.g., gestural interactions of virtual avatars) to enhance service affinity. More sophisticated applications include IoT-based health monitoring for retirees, where wearable devices collect physiological data and the embodied AI system automatically analyzes health risks and triggers early warnings, thereby providing data support for the dynamic adjustment of pension accounts.

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The Technological Development of Artificial Intelligence and the Fintech Revolution

  • Tao Wang,
  • Ke Gao,
  • Ennan Zhao

摘要

Embodied AI, as an important direction in the development of artificial intelligence, is reshaping service models in the financial sector. This technology embeds intelligent systems into physical entities or virtual carriers, enabling them to perceive the environment, make autonomous decisions, and execute actions. For example, in pension management scenarios, embodied AI can be applied to smart customer service robots that leverage natural language processing (NLP) and voice recognition technologies to promptly address inquiries about account information and benefit calculations, while incorporating simulated body language (e.g., gestural interactions of virtual avatars) to enhance service affinity. More sophisticated applications include IoT-based health monitoring for retirees, where wearable devices collect physiological data and the embodied AI system automatically analyzes health risks and triggers early warnings, thereby providing data support for the dynamic adjustment of pension accounts.