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Group 1 - The core viewpoint of the articles emphasizes the transformative impact of AI, particularly the introduction of Agentic AI, on the automotive finance industry, enhancing efficiency and customer experience [2][4][5] - Yixin Group plans to launch the first Agentic AI model in the automotive finance sector within the year, aiming to address long-standing efficiency bottlenecks [2][3] - The integration of AI technologies is seen as a key driver for the deep fusion of automotive finance and technology, particularly in optimizing business processes and improving risk management [2][3][4] Group 2 - Yixin has localized and applied the DeepSeek model, becoming one of the first companies in the automotive finance sector to implement such technology, which has significantly improved operational efficiency [3][4] - The introduction of AI has led to substantial improvements in various operational metrics, such as a 160% increase in efficiency during information entry and a 120% increase in processing efficiency for funding pathways [3][4] - The company has established a Chief AI Scientist position to focus on vertical technological breakthroughs in the automotive finance sector [3][4] Group 3 - The Agentic AI is designed to autonomously understand goals and navigate complex environments, allowing for end-to-end task execution with minimal human intervention [5][6] - The evolution of AI from traditional models to Agentic AI represents a shift towards dynamic decision-making processes, enhancing the ability to customize services and improve operational efficiency [6][7] - AI applications in automotive finance are extensive, including intelligent scheduling, real-time risk assessment, and automated financial management [7][8] Group 4 - XTransfer is leveraging AI to enhance risk control in cross-border financial services, particularly for small and medium-sized enterprises facing challenges in traditional banking [8][9] - The TradePilot model developed by XTransfer has shown superior performance in risk identification and management, significantly improving transaction safety and efficiency for small foreign trade enterprises [9] - The shift from offline to online B2B foreign trade has increased the complexity of transaction data, making AI-driven solutions essential for effective anti-money laundering measures [9]