作者：皮文凯，阿里云行业咨询部总经理 在过去的一年里，我们见证了"通义千问"等大模型在各行各业的爆发式应用。作为云计算基础设施的提 供者，阿里云每天都在支撑着数以亿计的并发计算和模型推理。然而，在与大量政企客户的深层对话 中，我发现大家从最初对AI算力的"焦虑"，逐渐转向了对AI决策的"审慎"。 企业的核心痛点不再是"算力够不够"，而是"结果准不准"。 在财税领域，阿里云与百望建立了长期稳定的合作关系。2025年4月阿里云与百望股份签署全面战略合 作协议，以大模型为创新场景研发方向，联合成立"数据智能联合实验室"，并发布了百望财税&数据 MCP服务作为首个深度融合通义千问Qwen3大模型的财税行业垂类MCP服务。双方一直在持续推进深 化云计算AI与数据智能深度融合。 二、RaaS新范式：云端基础设施的终极考验 白皮书阐述了企业服务商业模式将从SaaS(软件即服务)向RaaS(结果即服务)跃迁的观点。在描绘激动人 心的前景同时，也对云基础设施服务提出了前所未有的挑战。 在SaaS模式下，软件出现问题的影响范围和程度相对可控；但在RaaS模式下，服务商直接承诺帮客 户"节省采购成本"或"获取银行授信"。如果系统出 ...

Core Insights - The article discusses the transition of AI from "generative intelligence" to "decision intelligence," emphasizing the need for a solid data infrastructure that is deterministic, traceable, and auditable [2][4]. Global Trends - The development path of enterprise-level AI is undergoing structural changes, with companies like Palantir and Bill.com achieving high valuations not due to complex software functions, but because they embed directly into enterprise decision-making and financial flows, focusing on "result-oriented" services [1][3]. China's Unique Advantage - Unlike overseas markets, China has a unique advantage in this transformation due to national-level digital infrastructure initiatives like the Golden Tax Phase IV and digital invoices, which have enabled comprehensive digitalization and standardization of key business behaviors [3][4]. Theoretical Breakthrough - The white paper introduces the concept of "transaction ontology," which redefines invoices as economic fact nodes that connect financial flows, goods flows, and legal responsibilities, emphasizing that only data confirmed by legal frameworks can be considered as auditable and accountable assets [4][5]. Paradigm Shift - The industry is experiencing a structural shift from Software as a Service (SaaS) to Results as a Service (RaaS), where businesses pay for quantifiable operational outcomes rather than just software functionalities [5][6]. Business Model Innovations - In various scenarios such as procurement and supply chain finance, new business models are emerging that leverage transaction ontology to provide accountability and auditability, thus enabling more reliable outcome delivery [6][7]. Company Strategy - As a foundational enterprise in financial and tax digitalization, the company is strategically focused on building a comprehensive transaction semantic standard and industry-wide mapping, which transforms fragmented data into structured economic facts [7][8]. Future Directions - The white paper suggests that the future of competition in the AI 2.0 era will hinge on who can master legally confirmed economic facts and translate them into actionable decision-making capabilities, highlighting the importance of trust as a precursor to intelligent economic upgrades [7][8].

Core Viewpoint - The collaboration between Baiwang Co., Ltd. and DingTalk to launch the "Baiwang Tax Xiaozhi" product represents a significant step in the digital economy, focusing on the concept of "transaction ontology" as a foundational principle for establishing a credible and accountable digital economy [1][3]. Group 1: Partnership and Product Launch - Baiwang Co., Ltd. has partnered with DingTalk to introduce the "Baiwang Tax Xiaozhi," which serves as an intelligent tax risk management assistant on the DingTalk platform [1][2]. - The product leverages Baiwang's extensive tax data and risk control models to provide systematic risk scanning, intelligent tax reports, and expert interpretations for enterprises [2]. Group 2: Theoretical Framework - Baiwang's "transaction ontology" aims to redefine the fundamental unit of the digital economy, emphasizing that transactions, rather than data, are the essential elements that can generate accountability and consequences [2][3]. - The collaboration signifies a transition from a worldview to a methodology, positioning transactions as the core of economic participation, thus transforming intelligence from merely an analytical tool to an active economic agent [3]. Group 3: Strategic Vision - Baiwang is not just a financial software provider; it is building an intelligent economic infrastructure centered around transactions, reflecting a shift in its value positioning from a technology platform to a facilitator of institutional relationships [3]. - The company believes that in the next phase of the digital economy, controlling real, auditable, and institutionally recognized entities will be key to gaining trust and driving future growth [3].