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IBM: Expanding AI Learning to the Tennis Community

IBM: Expanding AI Learning to the Tennis Community

IBM: 将人工智能学习扩展到网球社区
Accesswire ·  08/15 11:45

NORTHAMPTON, MA / ACCESSWIRE / August 15, 2024 / IBM
By Justina Nixon-Saintil | VP and Chief Impact Officer

北安普敦,麻省/ACCESSWIRE/2024年8月15日/IBM
由Justina Nixon-Saintil担任副总裁和首席影响官员

As summer heats up and sports fans around the globe turn their attention to exciting events like the US Open, a new wave of technology is emerging on the court. Recent research by IBM and Morning Consult found that more than half (55%) of young tennis fans are optimistic about the positive impact of AI on sports. This growing enthusiasm highlights a key lesson for today's students and young learners: understanding AI is becoming increasingly important as AI continues to shape the future of work and sports. At this time, embracing AI is not just an option but a necessity for the next generation and current workforce to keep advancing their careers.

夏天热起来,全球体育迷们将他们的注意力转向像美国公开赛这样的激动人心的活动,一股新科技控股正在球场上崭露头角。IBm和晨间咨询最近的研究发现,超过一半(55%)的年轻网球迷对人工智能对体育的积极影响持乐观态度。这种日益增长的热情凸显了当今学生和年轻学习者的一个重要教训:随着人工智能继续塑造工作和体育的未来,了解人工智能变得越来越重要。此时,拥抱人工智能不仅是一个选择,更是下一代和现在的劳动力持续推进自己职业生涯的必要条件。

Imagine a young tennis player who's passionate about the game, but also curious about the latest tech trends, or a sports journalist responsible for commenting on the matches. In today's AI-driven world, that's the reality for many people, and opportunities where sports and technology intersect are becoming increasingly important. This can only be done through new more accessible content and the right partners.

想象一下一个热爱游戏,但也对最新的技术趋势怀有好奇心的年轻网球选手,或者是负责评论比赛的体育记者。在今天的人工智能驱动世界中,这对许多人来说是现实,而体育和科技相交的机会变得越来越重要。这只能通过更多可拓展的内容和合适的合作伙伴来实现。

AI and tennis: A dynamic duo

人工智能和网球:一个动态的二人组

As said before, AI is increasingly important. An IBM study found that over half of CEOs are hiring for generative AI roles that didn't exist last year. But the truth is that people don't know where to start this learning journey, with 40% of students saying that the greatest barrier to learning new skills is that they don't know where to start.

如前所述,人工智能的重要性日益增加。IBm的一项研究发现,超过一半的首席执行官正在雇用去年不存在的生成人工智能角色。但事实上,人们不知道从哪里开始这个学习之旅,有40%的学生表示学习新技能的最大障碍是他们不知道从哪里开始。

This is why we designed and launched new free IBM SkillsBuild AI content, tailored for both tennis fans and those interested in delving into tech. This content dives into the world of AI through the lens of tennis. It is a way to connect with learners that are eager to learn about AI, or looking to deepen their knowledge, with a more engaging and fun approach.

这就是我们设计和推出新IBm SkillsBuild AI内容的原因,旨在为网球迷和那些有兴趣深入了解技术的人士量身定制。这种内容通过网球的视角深入探讨了人工智能的世界。这是与渴望了解人工智能或希望加深知识的学习者联系的一种更有吸引力和有趣的方法。

You can start with an interactive microlearning session that showcases how cutting-edge tech is transforming the game of tennis. Think electronic line calling, real-time player analytics, and enhanced highlights. If you're ready for a more comprehensive exploration, you can also check out the "Learn AI Skills with Tennis" guidebook. This beginner-friendly resource breaks down AI concepts like data modeling, different AI types, including large language models (LLMs) like IBM Granite, and AI ethics, all while tying these topics back to the sport. Imagine learning how to convert raw match data into AI-ready formats or crafting effective prompts that make AI work as seamlessly as a well-executed serve. It's a crafty way to understand AI while enjoying the thrill of tennis.

您可以通过互动微学习会话,查看示例,了解尖端技术如何转变网球比赛。想象一下,电子线路叫球、实时球员分析和增强的精彩镜头。如果你想更全面地探究,你也可以查看"通过网球学习AI技能"指南。这本初学者友好的资源将AI概念分解为如数据建模、不同的AI类型(包括像IBm花岗岩这样的大语言模型(LLMs))和AI伦理学等内容,同时将这些话题与体育联系起来。想象一下,学习如何将原始比赛数据转换为AI-ready格式,或者制作有效的提示,使AI像成功执行发球一样无缝运行。这是一种巧妙的理解AI的方式,同时享受网球的刺激感。

This is all part of what we do with IBM SkillsBuild, ensuring that our content is timely and relevant, driven by market needs to close the skills gap.

这些都是我们在IBm SkillsBuild中所做的,确保我们的内容及时和相关,以市场需求为驱动,缩小技能差距。

Expanding AI education through meaningful collaborations

通过有意义的合作扩大人工智能教育

Collaboration is key to the work we do to foster access to education and training and close the skills gap. At IBM, we are expanding AI education collaborations with governments, educational institutions, and non-profit organizations to deliver AI training to students, and adult learners, including teachers and faculty, meeting the learners where they are. Our new collaboration with the USTA Foundation is a great example of this. Their mission to bring tennis and education together to help youth from under-resourced communities become more engaged in school and learning aligns with our work to increase access to technology education.

合作是促进教育和培训、缩小技能差距所做工作的关键。在IBm,我们扩大与政府、教育机构和非营利组织的人工智能教育合作,向学生、成年学习者,包括教师和教师,提供AI培训,满足学习者的需求。我们与USTA基金会的新合作就是一个很好的例子。他们将网球和教育结合起来,帮助来自贫困社区的青少年更多地参与学校和学习,与我们的工作相结合,增加对技术教育的访问。

Through IBM SkillsBuild we're offering USTA Foundation free access to career readiness resources, benefitting around 25,000 under-resourced youth from 250 of the foundation's chapters in under-resourced communities across the US. With a focus on emerging technologies, like AI, and professional workplace skills, IBM is offering access to a wide variety of courses such as AI fundamentals, cybersecurity, and data science, along with public speaking and resume writing. Students and teaching professionals can also earn IBM digital credentials and benefit from customized learning plans tailored to their career goals, including specialized workshops and expert guidance from IBM volunteers. This builds on IBM's 30+ year partnership with the USTA, providing AI, cloud, and data capabilities - including our large language model called Granite - to help create more engaging experiences for millions of tennis fans.

通过IBm SkillsBuild,我们提供给USTA Foundation免费的职业准备资源,受益于美国拥有250个基础设施章节的25000名来自资源匮乏社区的年轻人。以新技术,如人工智能,和职场专业技能为重点,IBm提供了各种课程,如人工智能基础知识、网络安全和数据科学,以及公共演讲和简历写作。学生和教学专业人士还可以获得IBm数字证书,并从量身定制的学习计划中受益,包括专门的研讨会和来自IBm志愿者的专家指导。这是IBm与USTA的30年合作的延续,为数百万的网球迷提供人工智能,云和数据功能,包括我们的大型语言模型Granite,以帮助创建更具吸引力的体验。

How AI and tennis empowers future innovators and athletes

人工智能和网球如何赋予未来的创新者和运动员力量

The blend of AI and tennis highlights a future where technology enhances sports and career opportunities. Our collaboration with the USTA Foundation through IBM SkillsBuild exemplifies the power of integrating AI education into various fields, such as sports, offering resources to young players and teaching professionals. By making AI accessible and engaging, we are not only preparing the next generation for future careers but also igniting their passion for both technology and sports.

人工智能和网球的融合凸显了技术提升运动和职业机会的未来。通过IBm SkillsBuild,我们与USTA基金会的合作是将人工智能教育整合到各个领域(如体育)的资源,为年轻球员和教学专业人士提供资源。通过使AI可达性和吸引力,我们不仅为下一代准备未来的职业生涯,而且激发了他们对技术和体育的热情。

At IBM, we're committed to skilling 30 million people by 2030, including 2 million in AI by 2026. To learn more about IBM SkillsBuild visit skillsbuild.org

在IBm,我们致力于在2030年之前为3,000万人提供技能,其中包括2026年学习200万个人工智能。要了解有关IBm SkillsBuild的更多信息,请访问skillsbuild.org

Learn more about IBM and USTA's work:

了解有关IBm和USTA工作的更多信息:

View additional multimedia and more ESG storytelling from IBM on 3blmedia.com.

在3blmedia.com上查看IBM的更多多媒体和ESG故事

Contact Info:
Spokesperson: IBM

联系信息:
发言人:IBM

SOURCE: IBM

来源:IBM


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