重磅 | 百望推出交易本体论白皮书——在AI2.0时代构建可信的智能经济基础设施

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].