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Monk 举办 Net 30——一场探讨金融未来的应用型人工智能峰会Monk hosts Net 30, an applied AI summit on the future of finance

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10月21日,150位首席财务官(CFO)、企业高管、创始人及研究人员将齐聚纽约的时代中心(The Times Center),共同探讨人工智能(AI)如何重塑企业的现金流、资本结构以及财务运作方式。

On October 21, 150 CFOs, operators, founders and researchers will gather at The Times Center in New York. They will discuss how AI is reshaping cash, capital and the finance function.

根据Gartner对183位首席财务官的调查,84%的财务部门已经部署了AI技术或计划部署该技术;但仅有7%的受访者表示AI技术带来了显著的业务影响。Monk公司认为,这些AI投资主要带来了生产力的提升和时间的节省,而非收入的增加或成本的降低。

In a Gartner survey of 183 CFOs, 84% of finance organizations had deployed AI or planned to. Yet only 7% reported a high impact. In Monk’s view, most of that investment has returned productivity and time, rather than revenue, lower costs, or cash on hand.

“Net 30”这场活动旨在汇聚那些希望从AI技术中获取实际价值的财务领导者。该活动专为那些负责公司资金流动管理的人士设计,重点关注哪些AI应用在实践中真正有效,哪些则效果不佳。

Net 30 brings together finance leaders who are seeking hard value from AI. It is a curated evening for the people responsible for how capital moves through their companies. It focuses on what works in practice and what does not.

“当今的领导者正在采取实际行动,”Monk公司的首席执行官George Kurdin表示:“他们使用AI技术不是仅仅为了节省时间,而是为了降低成本、提升现金流或增加收入。AI在财务领域的应用效果应该以财务数据来衡量;单纯提升运营效率已经不再是评价AI价值的唯一标准。”

“The teams leading today are taking action,” said George Kurdin, CEO of Monk. “They are not deploying agents simply to save time. They are using agents to cut costs, increase cash flow, or drive revenue. AI in finance should be judged by financial outcomes. Operational efficiency is no longer the standard.”

活动议程:“Net 30”这一名称来源于商业领域中最常见的付款周期——30天。对大多数企业而言,正是在这30天内,企业的现金流会发生变化,AI技术也能带来可量化的业务成果。本次活动的主题包括:

The agenda Net 30 takes its name from the most common payment term in business. For most companies, those 30 days are where cash is won or lost, and where AI is driving measurable outcomes. The evening has four themes:

  1. AI技术的实际投资回报(ROI):财务领导者正在将AI技术从单纯的“数据洞察”阶段推进到能够直接体现在损益表(P&L)和现金流中的实际应用阶段。

Hard ROI from AI. Finance leaders are moving past insights and dashboards to deployments that show up on the P&L and in cash on hand. Cash flow as the new growth metric.

  1. 现金流作为新的增长指标:根据花旗研究院的最新报告,72%的全球企业将“释放被冻结的流动性”列为未来12个月的首要任务。

In a recent Citi Institute report, 72% of global corporates ranked releasing trapped liquidity as their top priority for the next 12 months.

  1. 战略财务角色的演变:随着AI逐渐承担起数据建模和财务对账等工作,财务领导者需要参与产品定价、战略制定等决策过程。

The evolving role of strategic finance. As AI takes on model building and reconciliation, finance leaders are being asked to shape pricing, product and strategy.

  1. 负责任的AI应用:财务领导者需要评估AI技术能在哪些方面为企业创造长期竞争优势,又在哪些方面存在不足,并思考如何在利用AI的同时避免拖累企业运营速度。

Responsible AI deployment. Finance leaders are weighing where agents create lasting advantage, where they fall short, and how to govern them without slowing the business down.

已确认的演讲嘉宾: TechCrunch的Dominic-Madori Davis将主持一个专题讨论环节;更多嘉宾信息即将公布。

Speakers Confirmed speakers include: Dominic-Madori Davis of TechCrunch will moderate a panel.

该活动重点探讨了如何在人员精简的团队中高效地管理大规模的财务事务,以及那些成功进入实际应用阶段的自动化系统与那些进展受阻的系统之间的区别。同时,活动还分析了律师事务所如何重新审视自身的商业模式,以及当人工智能系统在缺乏监管的环境中运作时可能产生的影响。活动最后讨论了2030年金融组织的未来形态。

More to be announced. The program covers running finance at scale with a lean team and what separates agentic pilots that reach production from those that stall. It also covers how law firms are rethinking their business models, and what happens when AI agents operate in markets without guardrails. The evening closes with a discussion on designing the finance organization of 2030.

其中一个备受金融界领导者关注的问题是:如果到本世纪末人工智能能够完成大部分财务工作,那么人类的判断力在哪些方面仍然最为重要?本次活动免费参加,但仅限受邀人士参加。活动名称:《金融领域的应用人工智能》时间:2026年10月21日,下午5点至8点地点:The Times Center,地址:纽约西41街242号入场时间:下午5点活动开始时间:下午5点30分如需邀请,请联系主办方。

It includes a question many finance leaders are weighing: if agents can perform much of this work by the end of the decade, where does human judgment matter most? Attendance is complimentary and by invitation only. Net 30: Applied AI in Finance, October 21, 2026, 5 to 8 p.m., The Times Center, 242 West 41st Street, New York. Doors open at 5 p.m. and the program starts at 5:30 p.m. Request an invitation:

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Contributed article. Not produced by the TNW newsroom and does not reflect the editorial stance of TNW.