利用人工智能改善橄榄球员的健康和安全及帮助提升职业生涯

美国国家橄榄球联盟（National Football League，简写为NFL）与亚马逊的 AWS 部门建立了“数字运动员”合作伙伴关系，目的是帮助部署人工智能和机器学习，提高球员的健康和安全。据福克斯商业新闻报道，这项技术计划将研究球员在训练、练习和比赛期间的动作。NFL 和亚马逊 AWS 之间的合作将推广到所有 32 家 NFL 俱乐部，旨在提供个性化的伤病预防见解并改善球员安全。

The Digital Athlete helps teams make data-driven decisions to determine the training regiment, reducing potential injuries, while also enhancing players’ performances.

数字运动员可以帮助球队作出数据驱动的决策，确定训练计划，减少潜在的伤害，同时提高球员的表现。

In addition to the NFL, professional sports teams across the National Basketball Association, Major League Baseball and other sports leagues are leveraging AI to build athlete performance and health safety, aiming to prevent career-ending injuries, as well as enhance the skills and careers of all parties involved, including the pro athletes, coaches, doctors and marketing teams.

除美国橄榄球联盟外，全美篮球协会（NBA）、美国职业棒球大联盟（MLB）和其他体育联盟的职业运动队也在利用人工智能提高运动员的表现和改善健康安全，旨在防止职业生涯中的伤病，同时提高包括职业运动员、教练、医生和营销团队在内的所有相关方的技能和推动职业生涯发展。

## How AI Is Being Used

人工智能的应用

### The Business Aspect of AI: The Milwaukee Bucks

人工智能在商业方面的应用：密尔沃基雄鹿队

AI is also helping improve business, along with enhancing player performance, for the Milwaukee Bucks basketball franchise by becoming the “sixth man.”

人工智能也可以用来帮助改善业务，密尔沃基雄鹿篮球特许经营公司利用人工智能提高球员的表现，人工智能成了球队的“第六名球员”。

The team’s management is leveraging AI to enhance its marketing and sales efforts. The Bucks are deploying the fast-growing technology to more efficiently and effectively connect with their fan base, and sell more tickets and merchandise. The team partnered with Conversica, a conversational AI provider, to implement the technology.

雄鹿球队管理层利用人工智能加强市场营销和销售工作。雄鹿队部署了快速发展的人工智能技术，以达到更高效、更有效地与球迷群体建立联系及销售更多的门票和商品的目的。团队与对话式人工智能供应商 Conversica 合作进行人工智能技术的实施工作。

In an interview with Jim Kaskade, CEO of Conversica, and Ben Conrad, vice president of digital marketing and automation for the Milwaukee Bucks, they discuss the use case of AI.

Conversica 首席执行官 Jim Kaskade和密尔沃基雄鹿队数字营销与自动化副总裁 Ben Conrad接受了采访。他们讨论了人工智能的使用案例。

"Our use of Conversica and our AI Assistant isn't just about efficiency—it's elevating the skills, productivity and careers of our sales and marketing teams,” said Conrad.

Conrad 表示， “我们使用 Conversica 和我们的人工智能助理不仅仅是为了提高效率，更是为了提升我们销售和营销团队的技能、生产力和职业生涯的发展。”

“As we embrace AI and automation, the roles within our marketing group are poised for expansion. As data availability continues to grow, so do the opportunities for our marketing and sales roles. The integration of AI into our MarTech stack not only streamlines processes but also propels our small team to an All-Star level, driving revenue and presenting new career prospects in the dynamic realm of marketing technology. This technological shift not only boosts efficiency but also creates a pathway for career growth and skill development within our teams," he added.

他补充表示，“我们采用了人工智能和自动化，我们营销团队的角色也在不断扩充。数据的可用性在不断提高，我们的营销和销售职位的机会增多了。人工智能被整合到我们的 MarTech 堆栈中，不仅可以简化流程，还可以将我们的小团队推至全明星水平，推动了收入增长。在充满活力的营销技术领域提供了新的职业前景。这种技术转变不仅提高了效率，还为我们团队提供了职业成长和技能发展的途径。”

img__

The Bucks are leveraging AI with chat box “Emma” to provide a friendly chat experience with Bucks fans who have questions or want to learn more about upcoming special events.

雄鹿队现在利用人工智能聊天机器人“Emma”为雄鹿队球迷提供友好的聊天体验，回答球迷的问题或让他们了解即将举行的特别活动。

Even for a successful franchise, ticket sales are a challenge. Attending any sporting event is expensive when you factor in ticket prices, commuting to an arena and purchasing food, beverages and merchandise. In an uncertain economy with high high inflation and rising costs, businesses battle to win over consumers.

门票销售即使对于一个成功的特许经营公司来说也是一项挑战。参加任何体育赛事都是一项昂贵的活动，要考虑到票价、前往球馆的交通费以及购买食品、饮料和商品的费用。在高通胀和成本上升的不确定经济环境下，企业需要争夺消费者的支持。

Using predictive analytics management can better identify potential season ticket buyers based upon past sales, demographics, marketing and engagement. AI can offer recommendations for ticket packages and upgrades, based on data analytics. To stay in front of its audience, the Bucks send out automated emails, texts and ads with relevant content to re-engage former ticket holders and prompt new purchases.

预测分析管理的使用可以根据过去的销售情况、人口统计、营销和参与度等因素更好地识别潜在的季票购买者。人工智能可以根据数据分析结果提供套票和升级建议。为了保持受众对球队的关注，雄鹿队会自动发送相关内容的电子邮件、短信和广告，重新吸引以前的季票持有者并促使他们购买新的季票。

### Performance And Skills Evaluation

绩效和技能评估

AI can help improve performance for major league athletes by using the technology for performance analysis and predictions. By analyzing large amounts of data, AI algorithms can identify patterns and trends that may not be obvious to human coaches and trainers. This can help athletes optimize their training and improve their performance on the field.

人工智能可以利用绩效分析和预测帮助提高大联盟球员的成绩。人工智能算法可以通过分析大量数据识别出人类教练和训练人员可能无法察觉的模式和趋势。这可以帮助球员优化训练，提高球员在赛场上的表现。

MLB employs Statcast, an AI tool that reviews player movements, pitch velocity, launch angles and exit speeds. This comprehensive data collection offers valuable insights to players, coaches and fans, helping to predict player performance and prevent injuries. Stats Perform's ProVision offers performance data for multiple sports, covering aspects like batting and bowling performances.

MLB 采用的人工智能工具 Statcast 可查看球员动作、投球速度、发射角度和击球速度。这种全面的数据收集为球员、教练和球迷提供了宝贵的见解，有助于预测球员的表现和预防受伤。Stats Perform 的 ProVision 可提供多种运动的表现数据，涵盖击球和投球表现等方面。

Seattle Sport Sciences uses AI to evaluate soccer players' skills, including foot preference and first touch, by mapping 23 touch points and collecting player data. The company also collaborates with the International Federation of Association Football to calibrate goal-line technology, ensuring accurate and fair play outcomes. Xonic Golf's app utilizes computer vision AI algorithms to evaluate golfers' swings.

西雅图运动科学公司利用人工智能评估足球运动员的技能，包括脚的偏好和第一次触球能力，方法是绘制 23 个触球点并收集球员的数据。该公司还与国际足球联合会合作开发校准门线技术，确保比赛结果准确公平。Xonic Golf 的应用程序利用计算机视觉人工智能算法评估高尔夫球手的挥杆动作。

### Health And Safety

健康与安全

AI is being deployed in sports to enhance player performance through detailed analytics to prevent injuries by analyzing and predicting risky movements.

人工智能在体育领域的应用可以通过详细的分析提高运动员的表现，并通过分析和预测危险动作防止运动员受伤。

Monitoring biometric data and movement patterns, AI systems can detect early signs of potential injuries and provide recommendations for injury prevention exercises and recovery strategies.

人工智能系统可以通过监测生物识别数据和运动模式检测潜在伤害的早期迹象，并提供预防伤害练习和恢复策略的建议。

The NFL will use an array of data collection methods, such as sensors in shoulder pads and mouthguards, to monitor players' real-time location, speed, acceleration, distance and the frequency and intensity of head impacts.

美国国家橄榄球联盟将使用一系列数据收集方法（例如护肩和护齿中的传感器）监测球员的实时位置、速度、加速度、距离以及头部撞击的频率和强度。

Additionally, AI will be used in game footage analysis through computer vision and machine learning to automate the synchronization of data points and run simulations to understand injury occurrences better. This technology aims to predict injuries, allowing teams to adjust training loads and measures to reduce injury risks. The technology is not intended to replace NFL medical teams, but to assist trainers in managing players' training regimes more efficiently.

此外，人工智能将通过计算机视觉和机器学习应用分析比赛录像，自动同步数据点并进行模拟，以更好地了解受伤情况。这项技术旨在预测受伤情况，使球队能够调整训练负荷和措施，降低受伤风险。这项技术的目的不是取代 NFL 医疗团队，而是协助训练人员更高效地管理球员的训练计划。

### Other Use Cases For AI In Sports

人工智能在体育领域的其他应用案例

The NBA, NHL and PGA use AI for officiating, ensuring accuracy and helping enforce rules. It is used to verify close calls, identify penalties and review controversial plays. It also helps inform safety protocols regarding player position, type of play and equipment choice.

NBA、NHL 和 PGA 都将使用人工智能进行裁判工作，确保准确性并帮助执行规则。人工智能可用于验证争议性判罚、识别违规动作和审查有争议的比赛。人工智能还有助于为涉及球员位置、比赛类型和设备选择的安全规定提供信息。

Also, AI-powered virtual reality and simulation technologies can be used to create realistic training scenarios and allow athletes to practice and improve their skills in a safe and controlled environment.

此外，人工智能驱动的虚拟现实和模拟技术可用于创建逼真的训练场景，使运动员能够在安全可控的环境中练习和提高技能。

The technology can analyze volumes of game data, enabling a team to gather valuable insights into an opponent's strategies and player idiosyncrasies. Coaches can use this information to develop game plans and make in-game adjustments based on data, not just hunches and gut feelings.

该技术可以分析大量的比赛数据，使球队能够收集到对手战术和球员特质等宝贵信息。教练可以利用这些信息制定比赛计划，并根据数据在比赛中做出调整，而不是仅仅凭直觉和内心感觉。