IBM为美网新增AI球迷功能,包括Serve Quality
要点速览
- •IBM和美国网球协会为美网数字平台推出了新的、增强的AI球迷功能。
- •全新的Live Updates首页将帮助球迷更便捷地关注自己喜欢的球员,并看到相关洞察和报道。
- •Serve Quality指标将覆盖全部254场单打比赛,并通过肢体追踪技术和实时数据分析发球动作。
- •App中的Key Moments功能将通过更多背景信息解释比赛势头变化,扩展Likelihood to Win工具的能力。
- •基于watsonx Orchestrate的升级版Match Chat工具将回答从比赛分析到球员姓名发音等各种问题。

美网本周重返皇后区,作为年度最后一项大满贯赛事,它将数以百万计的球迷带到USTA Billie Jean King National Tennis Center,观看世界顶尖男女选手争夺冠军。
随着球迷准备在未来两周内关注数百场比赛,IBM和美国网球协会宣布,今年赛事的美网App和USOpen.org将加入新的、增强的AI球迷功能。
数十年来,IBM一直与美网合作,持续优化球迷体验,尤其是在近年来推出了旨在帮助球迷个性化观赛的AI创新。长期合作之所以重要,是因为这项赛事如今既是线下赛事,也是数字化观赛活动;许多球迷会使用App和第二屏工具,在比赛进行时追踪比分、故事线和比赛背景。
这一体验正越来越符合体育迷对数字产品的预期。根据IBM委托、由Morning Consult开展的一项最新全球研究,随着平台选择不断增加,体育迷的数字化期待也在提升。该调查覆盖12个国家、超过20,000名体育迷,结果显示,46%的受访者表示,自己对数字体育体验的期待在过去一到两年里有所提高。调查还发现,72%的受访者将体育App作为其追随体育的核心入口,而40%的人表示,将信息集中在一个地方是他们持续关注赛事的主要原因。
IBM表示,公司正继续重塑这种体验,让球迷在本周这项体育界最重要的赛事之一中获得更好的观赛方式。
"I think we have such an incredible reputation in tennis through our two [Grand] Slam partnerships, as well as The Masters, where there’s this anticipation for the event, but also to see how we’re going to keep them connected," IBM体育与娱乐合作副总裁Kameryn Stanhouse在最近接受Fox Business采访时表示。
"That’s one of the things that I love about what we do in sports is that we actually leverage technology as a way to foster conversations and connection. You can talk to people whether they’re able to go to tennis matches [or not]. We’ve got 1 million people that are going to go to the [UTSA] Billie Jean Tennis Center across the two weeks, and then 14 million people are going to be engaged at home on their couch, but able to feel like they’re courtside and engage on that second-screen experience."
对于2026年美网,这种第二屏体验将从全新的Live Updates首页开始,旨在为球迷提供一种更个性化的方式来关注他们最关心的比赛。Stanhouse表示,球迷可以选择自己喜欢的球员,并快速找到相关比赛,同时看到相关的洞察和报道。
Stanhouse特别期待看到的另一项新功能是Serve Quality指标,这是一项"first-to-market feature",为网球最重要的环节之一提供了全新的背景信息。
去年,美国名将Coco Gauff来到美网时特意更换了新教练,重点提升她的发球。在网球中,发球可能决定胜负,发球更强的球员通常赢得更多比赛。
IBM表示,这项新功能将覆盖全部254场单打比赛。该AI工具将使用与IBM Bob共同开发的先进肢体追踪技术,分析每一次发球的精确动作机制,而持续的实时数据流将由IBM Confluent管理。
"We basically trained this model to look at all the historic white papers, all the research about serves. Then, we’re looking at 21 specific joint points on the body – everything from the elbow to the big toe that looks at momentum," Stanhouse解释说。"The position of a serve on the court, where it lands. We have six different coordinates we’re looking at all the way to the racket positioning. Synthesizing all of that, it’s doing snapshots 50 times per second – lots of data points in this one. But overall, 1.2 billion data points that’s going to be analyzed over the tournament to give you a Serve Quality number."
此外,App中的新"Key Moments"功能将把广受欢迎的"Likelihood to Win"功能提升到新层次,帮助球迷理解为什么某位球员会领先——不只是知道谁在比分上占优。"Likelihood to Win"功能之所以受欢迎,是因为它结合当前和历史统计数据、专家观点以及比赛势头,通过AI分析计算每位球员的胜率。
现在,"Key Moments"将提供更多、更丰富的信息,用于概括比赛中的势头变化。
"We’re looking at that structured and unstructured data, taking AI to make an analysis, and then make a pre-match projection that takes into consideration not only how they’ve been playing, but what’s the media saying? What’s been said on social media? What are the broadcasters saying? Did someone get a new tennis coach? Do they have a lingering injury? So, we take all that into consideration and provide a pre-match projection," Stanhouse补充说。
最后,随着球迷多年来逐渐适应AI体验,IBM升级后的"Match Chat"将作为互动伙伴,在整个赛事期间提供所需的各种信息支持。从赛事分析、查询Serve Quality,到简单了解某位球员名字的正确发音,基于watsonx Orchestrate的Match Chat是一组AI代理和专门模型的集合,经过训练可提供快速、准确的回应,让球迷在需要时随时获得信息。
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对Stanhouse及其团队来说,美网只是又一次展示IBM不仅能为体育界做什么,也能推动其他公司采用其开发的有趣、互动技术的机会。
"Everybody says my team has the best job at IBM. There’s many, many great jobs, but I think what we do is so exciting because there’s a tangible output that people actually see and people are waiting for. Each tournament that we go to is not only a learning opportunity because we’re constantly thinking about how we’re going to evolve things for the next year, but it’s such a pay-off to see everything come to life. Because what we do is not just serve the fan experience, but we’re so creating unique conversation pieces for our clients. They see how IBM technology makes all of this possible and inspire what you could do with us."