百望股份与蚂蚁数科达成合作 共同推动大模型与数据融合创新

Core Insights - The collaboration between Baiwang Co., Ltd. and Ant Group's Ant Financial Technology aims to integrate their core strengths to promote the deep fusion and innovative application of large model technology and massive data, accelerating the release of data value and creating a new paradigm for "data intelligent infrastructure" in the AI era [1][2] Company Overview - Baiwang Co., Ltd. is a leading data intelligence service provider in China, having processed over 23.1 billion transaction vouchers and accumulated data exceeding one quadrillion, serving 28.5 million enterprise customers across diverse scenarios [1] - Baiwang has established a comprehensive product system covering intelligent finance and taxation, intelligent risk control, intelligent decision-making, and intelligent marketing, providing full support for enterprise digital transformation [1] Focus of Collaboration - The partnership will initially focus on intelligent risk control scenarios, leveraging Ant Financial Technology's risk control intelligent agent technology to transition Baiwang's intelligent risk control products from "experience-driven" to "intelligent generation" [1] - Ant Financial Technology's risk feature intelligent agent can assist human experts in mining high-value features from massive data, addressing pain points of traditional models that heavily rely on expert experience, long accumulation cycles, and high trial-and-error costs, achieving a model performance improvement of up to 32% [1] Technological Advancements - Ant Financial Technology's risk modeling intelligent agent can autonomously construct modeling processes based on large model intent recognition and task planning capabilities, reducing modeling time by 30% and achieving modeling results comparable to human experts with minimal instructions [1][2] - This collaboration will elevate Baiwang's intelligent platform from the 1.0 stage of "data aggregation and governance" to the 2.0 stage of "data intelligence autonomous generation with financial-grade reliability and business understanding," enhancing operational efficiency and providing more precise and efficient intelligent support for clients in compliance, risk control, and business decision-making [2]