share_log

IBM: Expanding AI Learning to the Tennis Community

IBM: Expanding AI Learning to the Tennis Community

IBM: 將人工智能學習擴展到網球社區
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擔任副總裁和首席影響官員

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.

夏天熱起來,全球體育迷們將他們的注意力轉向像美國公開賽這樣的激動人心的活動,一股新科技控股正在球場上嶄露頭角。IBm和晨間諮詢最近的研究發現,超過一半(55%)的年輕網球迷對人工智能對體育的積極影響持樂觀態度。這種日益增長的熱情凸顯了當今學生和年輕學習者的一個重要教訓:隨着人工智能繼續塑造工作和體育的未來,了解人工智能變得越來越重要。此時,擁抱人工智能不僅是一個選擇,更是下一代和現在的勞動力持續推進自己職業生涯的必要條件。

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.

想象一下一個熱愛遊戲,但也對最新的技術趨勢懷有好奇心的年輕網球選手,或者是負責評論比賽的體育記者。在今天的人工智能驅動世界中,這對許多人來說是現實,而體育和科技相交的機會變得越來越重要。這隻能通過更多可拓展的內容和合適的合作伙伴來實現。

AI and tennis: A dynamic duo

人工智能和網球:一個動態的二人組

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的一項研究發現,超過一半的首席執行官正在僱用去年不存在的生成人工智能角色。但事實上,人們不知道從哪裏開始這個學習之旅,有40%的學生表示學習新技能的最大障礙是他們不知道從哪裏開始。

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.

這就是我們設計和推出新IBm SkillsBuild AI內容的原因,旨在爲網球迷和那些有興趣深入了解技術的人士量身定製。這種內容通過網球的視角深入探討了人工智能的世界。這是與渴望了解人工智能或希望加深知識的學習者聯繫的一種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.

您可以通過互動微學習會話,查看示例,了解尖端技術如何轉變網球比賽。想象一下,電子線路叫球、實時球員分析和增強的精彩鏡頭。如果你想更全面地探究,你也可以查看"通過網球學習AI技能"指南。這本初學者友好的資源將AI概念分解爲如數據建模、不同的AI類型(包括像IBm花崗岩這樣的大語言模型(LLMs))和AI倫理學等內容,同時將這些話題與體育聯繫起來。想象一下,學習如何將原始比賽數據轉換爲AI-ready格式,或者製作有效的提示,使AI像成功執行發球一樣無縫運行。這是一種巧妙的理解AI的方式,同時享受網球的刺激感。

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.

這些都是我們在IBm SkillsBuild中所做的,確保我們的內容及時和相關,以市場需求爲驅動,縮小技能差距。

Expanding AI education through meaningful collaborations

通過有意義的合作擴大人工智能教育

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.

合作是促進教育和培訓、縮小技能差距所做工作的關鍵。在IBm,我們擴大與政府、教育機構和非營利組織的人工智能教育合作,向學生、成年學習者,包括教師和教師,提供AI培訓,滿足學習者的需求。我們與USTA基金會的新合作就是一個很好的例子。他們將網球和教育結合起來,幫助來自貧困社區的青少年更多地參與學校和學習,與我們的工作相結合,增加對技術教育的訪問。

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.

通過IBm SkillsBuild,我們提供給USTA Foundation免費的職業準備資源,受益於美國擁有250個基礎設施章節的25000名來自資源匱乏社區的年輕人。以新技術,如人工智能,和職場專業技能爲重點,IBm提供了各種課程,如人工智能基礎知識、網絡安全和數據科學,以及公共演講和簡歷寫作。學生和教學專業人士還可以獲得IBm數字證書,並從量身定製的學習計劃中受益,包括專門的研討會和來自IBm志願者的專家指導。這是IBm與USTA的30年合作的延續,爲數百萬的網球迷提供人工智能,雲和數據功能,包括我們的大型語言模型Granite,以幫助創建更具吸引力的體驗。

How AI and tennis empowers future innovators and athletes

人工智能和網球如何賦予未來的創新者和運動員力量

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.

人工智能和網球的融合凸顯了技術提升運動和職業機會的未來。通過IBm SkillsBuild,我們與USTA基金會的合作是將人工智能教育整合到各個領域(如體育)的資源,爲年輕球員和教學專業人士提供資源。通過使AI可達性和吸引力,我們不僅爲下一代準備未來的職業生涯,而且激發了他們對技術和體育的熱情。

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,我們致力於在2030年之前爲3,000萬人提供技能,其中包括2026年學習200萬個人工智能。要了解有關IBm SkillsBuild的更多信息,請訪問skillsbuild.org

Learn more about IBM and USTA's work:

了解有關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的更多多媒體和ESG故事

Contact Info:
Spokesperson: IBM

聯繫信息:
發言人:IBM

SOURCE: IBM

來源:IBM


声明:本內容僅用作提供資訊及教育之目的,不構成對任何特定投資或投資策略的推薦或認可。 更多信息
    搶先評論