Core Insights - The integration of general AI models into various industries is establishing a foundational technology for digital applications, but challenges in "scene adaptability" are emerging in specialized fields like financial and tax management [1] - The emergence of vertical AI models signifies a shift from "general cognition" to "professional understanding," with a focus on enhancing the execution of business processes [1] - Over 70% of enterprises are prioritizing the development of vertical intelligent agents, indicating a consensus on the need for in-depth scene-specific technology [1] Industry Dynamics - The financial and tax sectors are seen as a testing ground for AI's vertical capabilities due to their complex regulatory and data environments [2] - A dual-track strategy combining "general capability foundation + vertical fine-tuning" is becoming mainstream, enhancing AI's execution precision in specialized scenarios [2] - The approach taken by companies like Weifengqi, which focuses on integrating policy, business, and data, exemplifies the practical application of vertical intelligent agents in the financial sector [2][3] Technological Innovations - Weifengqi's financial and tax vertical intelligent agent utilizes a self-developed vertical model that combines general capabilities with scene-specific fine-tuning, improving adaptability to complex business scenarios [3] - The shift in technology competition from "computational power" to "scene cultivation" is redefining the boundaries of professional services in the financial and tax sectors [3][4] - The transformation towards AI-driven services is expected to lead to three major trends: intelligent and precise policy analysis, proactive risk prevention, and scenario-based decision support [3] Future Outlook - The rise of financial and tax vertical intelligent agents marks a new phase in industry digitalization, focusing on "value creation" [4] - Companies like Weifengqi are paving a differentiated path for professional services through the integration of general technology and vertical scene innovation [4] - As more similar practices emerge, vertical intelligent agents may redefine industry competition rules, positioning AI as a core driver of professional service upgrades [4]

在数字经济成为全球经济增长新引擎的背景下，我国正加速推进数据要素市场化配置改革，释放数据要素价值潜能。作为国内领先的数据智能服务商，唐煦 数畅积极响应国家政策号召，依托技术创新与场景深耕，打造覆盖数据"数据资源→数据托管→数据产品→数据产品流通→数据确权入表→数据交易所挂牌 交易→数据资产→金融创新服务→城市数字身份，实现全链路数据价值挖掘，为政企客户提供安全、高效、合规的数据要素解决方案，助力数字经济高质量 发展。 政策引领，抢抓数据要素市场化机遇 近年来，国家相继出台《关于构建数据基础制度更好发挥数据要素作用的意见》《"数据要素×"三年行动计划》等政策，明确数据作为新型生产要素的战略 地位。唐煦数畅紧抓时代机遇，以"释放数据价值，驱动数智转型"为使命，构建从数据资源化到资产化的完整服务链条，推动数据要素在金融、医疗、工 业、政务等领域的深度融合应用，赋能实体经济提质增效。 1.数据托管与治理 政府端：建立政务数据统一托管平台，实现跨部门数据归集、数据治理、数据产品的开发流通、数据确权交易、数据资产的金融服务、数据安全存储等服 务。 企业/商户端：提供合规化数据托管服务，支持结构化与非结构化数据清洗、脱敏、 ...