近日，全球人工智能与数字化转型领域资深专家、微软原全球解决方案战略负责人威廉·方博士一行莅临中科金财进行工作交流。中科金财董事长、AI技术负责人及相关业务高层予以热情接待，双方围绕AGI（通用人工智能）发展趋势以及中科金财“本体+智能体”技术在各行业场景中的落地实践等议题展开了深入探讨。本次交流聚焦于分享实战视角，共同擘画AGI时代技术能力如何转化为可衡量的产业价值。
Recently, Dr. William Fong, a global AI and digital transformation expert and former Global Solutions Strategy Lead at Microsoft, visited Sinodata for a working exchange. Sinodata’s Chairman, Head of AI Technology, and senior business leaders welcomed Dr. Fong and held detailed discussions on the direction of AGI and Sinodata’s practical “ontology + agents” approach across multiple industry scenarios. The visit focused on sharing real-world perspectives and aligning on how AGI-era capabilities can translate into measurable industry outcomes.
会谈中，方博士结合其一线操盘经验，剖析了AGI相关能力的演进路径，指出AI智能体正从“场景化融合”向可持续的“人机协同”日常运营模式进化。中科金财团队也向方博士介绍了公司以创新为核心的发展理念，包括在AGI技术研发与场景落地方面的持续性战略投入和成果。双方就如何使智能体系统在企业环境中实现有用、可管、可扩展交换了意见。
During the meeting, Dr. Fong shared an operator’s view of how AGI-related capabilities are evolving, including how AI agents are moving beyond isolated use cases toward more durable human-machine collaboration in day-to-day operations. Sinodata also introduced its product and innovation approach, including its ongoing investments in R&D and its progress in applying AGI concepts to real scenarios. Both sides exchanged views on what it takes to make agent-based systems useful, governable, and scalable in enterprise environments.
交流期间，中科金财重点介绍了公司以本体、智能体驱动的认知框架，以及依托于此框架和真实业务痛点构建的业务模型、数据模型、流程模型、规则模型与能力模型。双方探讨了基于本体的语义治理如何助力构建“中枢大脑”，以深刻感知和灵活处理不断涌现的业务知识，并重点讨论了如何推动金融业人工智能能力成熟度从以推理为核心向组织级赋能跃升。理论与实践验证，本体论是大模型在ToB垂直场景落地的最佳方法论。中科金财作为一家专业做AGI行业应用，以AI大模型为底座，以本体+智能体驱动的认知框架技术构建的有AI大脑支撑的“硅基员工”运营服务商，也是国内在金融行业中较早探索并实现本体论落地的先行者之一，为全行业在AGI领域的实践起到了标杆作用，受到了业内广泛关注。同时，双方就“硅基员工”在金融领域营销管理、运营管理、财务管理等方面的应用前景进行了深入交流，一致认为在初始设计即嵌入治理与责任框架的前提下，其在业务自动化和规模化上潜力巨大。方博士对中科金财在该领域的探索与实践成果给予了高度认可。
Sinodata presented its ontology-driven, agent-based cognitive framework and the supporting models built on top of it, including business, data, process, rule, and capability models aligned to real business pain points. The discussion covered how ontology-based semantic governance can support a “central brain” for interpreting and operationalizing evolving business knowledge, with a particular focus on advancing AI maturity in financial services from reasoning-centric capabilities toward organization-level enablement. Theory and practice have demonstrated that ontology represents the optimal methodology for implementing large models in ToB vertical scenarios. As a professional AGI industry application provider, Sinodata builds its “silicon-based employee” operations—powered by an AI brain—upon a cognitive framework driven by the integration of ontology and agents. The company is also one of the earliest pioneers in China's financial sector to explore and implement ontology-based solutions, serving as a benchmark for AGI practices across the industry and attracting significant professional attention. The two sides also discussed “silicon-based employees” and their potential applications in areas such as marketing, operations, and finance within the financial sector, highlighting the opportunity for automation and scale when governance and accountability are designed in from the start, Dr. Fong expressed strong recognition of Sinodata’s exploration and execution in this area.
Sinodata also shared its broader collaboration approach, including partnerships with domestic and international AI companies and major clients, with the goal of enabling industry upgrades in the AGI era. The exchange reflected Sinodata’s interest in combining global perspectives with practical implementation, and both sides noted the importance of continued dialogue as enterprise adoption shifts from experimentation to scaled deployment. Sinodata plans to continue working with global experts and industry partners to explore new models of human-machine collaboration and to accelerate the industrial application and ecosystem development of AGI technologies.
