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    Happy Easter!祝大家复活节快乐! Happy Easter to all our dear friends at NACSHR! As we step into this beautiful season of renewal and hope, accompanied by the delightful presence of chocolate bunnies and colorful eggs, we're sending a heartfelt bouquet of wishes your way. May this Easter not only fill your homes with laughter and warmth but also ignite your professional spaces with innovative ideas and vibrant growth. Let's allow the rejuvenating spirit of Easter to inspire us to hatch groundbreaking strategies and nurture our aspirations. This Easter, let's cherish the incredible power of connection and the beauty of our community. It's the perfect occasion to strengthen our bonds and celebrate the diverse tapestry of talents and perspectives that each of us contributes. To all our HR friends, let's take this moment to deepen our dedication to creating workplaces where every individual feels valued, supported, and empowered to flourish. Wishing you an Easter that overflows with joy and presents new opportunities to make meaningful impacts. As we indulge in Easter treats and gather with our loved ones, let us also gaze ahead with hope and anticipation for what the future unfolds. May the essence of Easter inspire us to approach challenges with bravery and embrace opportunities with open arms. Here's to a magnificent Easter, abundant in peace, prosperity, and progress for everyone. May it rejuvenate our spirits and rekindle our enthusiasm for making every workplace a beacon of positivity and growth. Happy Easter, dear friends at NACSHR! May this season bring everlasting happiness and success to you and your families. 亲爱的NACSHR的朋友们,祝大家复活节快乐!当我们迈入这个充满更新与希望的美好季节,同时享受着巧克力兔和彩蛋带来的乐趣,我们向你们发送最真挚的祝福。愿这个复活节不仅让你们的家充满笑声和温暖,也在你们的职场中点燃创新的思维和活力的增长。让复活节的复兴精神激励我们孵化出创新的策略,培养我们的志向。 在这个复活节,让我们珍视连接的力量和我们社群的美好。这是完美的时刻来加强我们的联系,庆祝我们每个人贡献的多样化才能和视角。对于我们所有HR的朋友们,让这成为一个深化我们致力于创造每个人都感到被重视、支持和有力量成长的工作环境的时刻。祝愿你们的复活节充满欢乐,开启新的机会,让我们做出有意义的影响。 当我们享受复活节的美食并与我们所爱的人聚集时,让我们也满怀希望和期待地看向未来。愿复活节的精神鼓励我们勇敢面对挑战,开放心扉迎接机会。祝大家有一个辉煌的复活节,充满和平、繁荣和进步。愿它重新点燃我们的精神,重新激发我们为让每一个工作场所成为积极成长的灯塔的热情。 亲爱的NACSHR的朋友们,复活节快乐!愿这个季节为你们及你们的家人带来永恒的幸福和成功。
    头条
    2024年03月31日
  • 头条
    Josh Bersin :劳动力市场已完全改变:您真的准备好了吗? Josh Bersin 最新撰文谈到,随着以婴儿潮一代为主的劳动力队伍的衰落和具有独特期望和职业模式的新一代的崛起,劳动力市场发生了巨大的变化。这一新劳动力的特点是偏好组合职业和副业,他们要求尊重、灵活性和精心设计工作的机会。企业在适应这些变化时面临着挑战,职位普遍空缺,人员流动增加。文章强调,企业需要采用一种动态的组织模式,优先考虑授权、内部流动性和员工积极性,以便在这个新的劳动力市场中茁壮成长。这种适应的关键在于了解劳动力现在寻求的是成长、灵活性以及他们的价值观与工作之间有意义的结合。 英文原文如下,推荐了解 The labor market has changed before our eyes. Employers and HR teams better watch out. Over the last five decades baby boomers defined the workforce. Today things could not be more different, and this change impacts all of us. I was born in the 1950s, growing up in a world where the middle class experienced steadily increasing standards of living. My father was a scientist, my mother sold art, and my brother and I had a nice middle-class life. This included a three stage career: education | work | retirement. I went to college, studied hard, and got a good job as an engineer. My career went on a predictable path. I worked for Exxon and then IBM – each company giving me training, development, and potential for long-term career. I met many great people, learned about work, got married and had a family. My cohort, the baby boomers, was huge. Companies built entire talent systems for us – onboarding, training, predictable career growth, developmental assignments, leadership development, and retirement programs. We strapped ourselves in and enjoyed the journey. Fast forward to now: things are very different. Today’s working population bulge (median age 33, born in the early 1990s,) entered the workforce in a disrupted world. They joined companies during a boom, experienced the pandemic in their 20’s, and live in a world where everything is on the internet. While my generation revered our employers, these workers see every corporate mistake in real-time. They expect their bosses to earn their respect, otherwise they’ll “quietly quit” or start moonlighting on the side. While my generation expected to work for only a few employers during a career, today people build what Lynda Gratton calls “a portfolio career.” More than 2/3 of workers have side-hustles and their resume is filled with projects, businesses, activities, and professional interests. If you look at the LinkedIn profiles of most high performers they look like personal journeys, far different from the linear career paths we had in the past. While most of these changes came slowly, the end result is profound: the expectations, needs, and demands of workers are different. And businesses have struggled to keep up. Companies have vast amounts of unfilled positions, we suffer high turnover in almost every role, and labor unions are growing in number. What do companies do? We have to accept and understand that the labor market has totally changed. We live in a world where employees will live into their 100s. Young workers are postponing getting married and having children and they see their career as a long series of experiences. The norms of a long-term linear career have ended: people try new things, change industries, and live in what I call a “pixelated” job market. And rather than blindly trust employers, people bring high expectations to work. Young workers don’t expect to “become the job,” they want the job to “become them.” (Often called “job crafting.”) And given the shortage of workers in every role, this trend is just getting bigger. While economists believe the job market will soften and employers will have more power over time, I think those days are over. Life just isn’t going back to the way it was. Despite the growth of AI, companies are more dependent on their workforce than ever. And with 70% of the jobs now service-related (healthcare, retail, hospitality), employees really are our product. I look at it this way. Companies and employers live in a pool of labor: it’s the needs and expectations of people who decide what we can and should do. People are upset about inflation. They’re worried about climate change. They want CEOs to behave ethically. And they want flexible work that lets them live a joyful life. And every year the workforce becomes more educated and connected. (The percentage of US workers with degrees has gone up to 54%, up from 38% fifteen years ago.) People know about the company’s financial results or other issues far before an announcement even comes out. While many of these trends are obvious, many companies aren’t ready. Last year I talked to the CHRO of Boeing and he told me the problems were highlighted by employees years ago. They simply were not listening, and now they’re a company in crisis. And that leads to the topic of “employee activation.” In the old days senior leaders made decisions, workers carried out the orders. Ideas and strategies were “top-down.” Today much of the intelligence we need to grow our companies is sitting with front-line workers. We need to “activate employees” and listen to them directly. The worker in the store, plant, or front office who feels frustrated by some system or process is the person who should advise us what to do. The old idea of “management by walking around” must come back. (Our Org Design Superclass explains this in detail.) I don’t mean chaos, holacracy, or lack of controls. Successful companies have a clear mission, a series of strategic initiatives, and budgets to hold people accountable. But they empower everyone to be a leader, unleashing power from the bottom up. (Come to Irresistible and learn about how Marriott and Delta airlines exemplify this model.) The key is building what we call a “Dynamic Organization” – one which is flat, team-centric, connected, and accountable. Our research shows that only 7% of companies operate this way: most are still very hierarchical and slow to adapt. But change is coming, as companies like Delta, Marriott, Telstra, Unilever, Novartis, Seagate, and Bayer have found out. (This week the CEO of Bayer announced a radical transformation to a team-centric management model, dramatically reducing the number of “bosses.”) A dynamic organization does two things well. First, it adapts to change, sees new markets, and mobilizes quickly for change. But even more importantly, it empowers people, encourages internal mobility, and focuses on meritocracy, skills, and collaboration to thrive. (Read about Talent Density to learn more.) While these ideas are not new, urgency is critical. Employees demand growth, flexibility, and agency – and we can’t deliver it unless our reward and development systems change. Today more than 70% of US jobs are in the service sector: health care, retail, entertainment, and transportation. If we don’t empower people in these roles our products and services will suffer. Let me conclude with this: we just woke up in a totally new labor market. If you don’t focus on empowerment, growth, and employee activation, talent will just go elsewhere.
    头条
    2024年03月31日
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    Josh Bersin:3400亿美元的企业学习的市场将迎来巨大变革 作者:Josh Bersin  本文探讨了企业学习行业的演变,特别是人工智能如何引领这一行业的巨变。企业每年在员工培训和发展上的开支超过3400亿美元,从传统的课堂培训到在线学习,再到以技能为中心的学习,行业一直在不断发展。现在,人工智能预计将彻底改变公司的学习管理系统(LMS)和学习体验平台(LXP),通过个性化和动态生成内容来提高学习效率和效果。文章强调了适应这种变化的重要性,以及AI在企业培训和人才发展中的潜力。 企业在员工培训和发展上的年支出超过3400亿美元,平均每名员工每年花费超过1500美元。这笔巨额开支支撑着一个全球产业,涉及数百家内容和技术公司,现正站在重新定义的风口浪尖。请允许我详细解释这一过程。 从电子学习到集体学习再到自主学习的演变 20世纪90年代末,随着互联网的崛起,以传统教室授课为主的培训产业发生了翻天覆地的变化。企业和内容提供者纷纷开发“电子学习”课程,试图在线复制面对面教学的体验。那是一个充满创新的时期,虽然今天看来有些过时,但它孕育了像Skillsoft(并购了众多竞争对手)、Cornerstone(同样并购了众多竞争对手)以及一大批传统的学习管理系统(LMS,例如Plateau、SumTotal、Learn.com、Pathlore等)公司,这些公司最终都被并购。 如今,LMS市场的规模已超过200亿美元,这一切几乎都是在线培训推动的结果。虽然这些系统可能看起来笨重,但它们对全球每家公司的交易和记录保持都至关重要。 当公司争相购买LMS系统——这是一个投资者非常关注的热门市场时,他们发现一个庞大的课程目录并不实用。因此,他们开始构建一套特征,我称之为“以人才为驱动的学习”,包括基于能力的学习、与职业角色一致的课程和职业发展路径系统。这些特征被添加到LMS中,使得这些系统不仅仅是教育工具,更像是“人力资源系统”,从而促使供应商扩展到更多的人才管理功能。 早期的开拓者Saba和Cornerstone开始推出绩效管理工具。回顾起来,这些尝试可能看起来有些简单,但当时它们代表了一个重大突破。突然之间,公司不再单独购买LMS系统,而是选择购买包含多个功能的“人才管理套件”,这迫使专注于LMS的供应商开始涉足招聘、目标管理乃至薪酬管理。他们可能没有意识到,放弃核心业务最终会导致他们被市场颠覆。 随着Facebook(2004年)、YouTube(2005年)和Twitter(2006年)的相继出现,内容世界发生了巨变。视频、文章和专家意见变得触手可及,那些笨重、以课程目录为导向的LMS系统显得格外难以使用。因此,随着公司寻求新的解决方案,原本投入巨资于人才管理的LMS市场开始显露老态。学习体验平台(LXP)市场随着Pathgather(2010年)、Degreed(2012年)、EdCast(2013年)的诞生而兴起,企业转向这一新兴领域投资。(更多历史,请参阅《从电子学习到集体学习》。) 2010年代初,整个行业的理念是尝试模仿Google,打造一个既具有Twitter式动态性又拥有YouTube式丰富内容的企业学习系统。传统的LMS和人才管理系统逐渐过时,供应商在缓慢的增长中寻求出路,最终合并为几家大型玩家。 随后,微学习的概念兴起。iPhone成为了视频播放平台(2008年),Instagram(2010年)、Snapchat(2011年)及后来的TikTok(2015年)向我们展示了短视频和“微学习”可以是多么的有趣。过长的两小时在线课程变得不受欢迎,因此LXP供应商开始扩展自己的产品线。随着公司将越来越多的内容投入到LXP中,我们意识到需要一种方法来寻找、精准定位并个性化所有这些学习材料。 此变化自然引发了内容市场的爆发。LinkedIn、Coursera、Udemy、OpenSesame、Go1等供应商决定开拓这个领域,推动了新材料的狂热消费。自那以后,内容市场继续繁荣发展,尽管仍然主要由小型玩家主导,但被更大的聚合商所整合,这些聚合商销售并分发多种品牌。 (顺便提一下,Workday在2016年收购了视频公司Mediacore,以抓住这波趋势。由于缺少核心LMS功能,他们花费数年时间将其发展成为一个完整的LMS。) 进入技能的世界。 你可能不会相信,但“技能记录系统”的概念最初出现在LXP领域,供应商如Degreed和EdCast建立了一个搜索术语数据库,并用“技能”一词标记内容。在消费者市场,我们能接收到成百上千的信号来推荐广告,但LXP供应商只有少数工程师,因此他们的“技能分类”相对简单。这个概念迅速走红,公司开始专注于构建基于“技能”的培训,随后是招聘和人才战略。 同时,L&D领域正处于创造性混乱之中。出现了如360 Learning、Fuse Universal、Kineo等数百家内容创作和分享系统的供应商,旨在帮助公司创作、分享视频内容,并按角色、技能或职能进行组织。这些并非严格意义上的LMS系统,但它们位于LMS前端,使员工能够轻松创建和消费动态内容。 这一时期,从2018年至今,成为L&D领域的热潮。市场充斥着各式各样的视频内容工具,同时像STRIVR和Talespin这样的先锋公司开始为虚拟现实(VR)构建工具和内容系统。自创内容平台、视频平台和VR平台正在满足重要需求,而LMS市场则变得更加固定、枯燥和无趣。(Talespin最近被Cornerstone收购。) 顺带一提,我仍然认为“能力学院平台”市场具有巨大潜力(这类平台提供综合的专业能力和小组学习功能,例如我们的Josh Bersin Academy)。Docebo、Learn-In、Nomadic、NovoEd和Intrepid等供应商仍在增长,但随着时间推移,这些系统可能被整合进人才市场。这一领域一直是行业的一个亮点。(想了解更多,请阅读《能力学院:L&D的未来方向》。) 作为分析师,我得诚实说,过去几年对我来说有些单调。我们帮助了数百家公司决定该选择哪种L&D系统,但通常我们发现这些组织有太多平台,内容分散杂乱,缺乏一致性的数据处理,以及在这一领域的过度投资。因此,这个静态期代表了过去3到5年的趋势,是企业整理过去十年购买历史的好机会。 世界突然再次发生变化。技能分类的理念迅速蔓延,同时新兴的人才智能系统,如Eightfold、Gloat、Fuel50等纷纷涌现。这些新兴系统使公司能够按技能寻找人才、根据技能推荐职位和机会,并按技能动态规划职业路径,再次与L&D领域发生碰撞,促使我们将所有内容“整合”进这些新平台中。(更多信息,请阅读《人才智能入门》。) 本周我刚与我最喜爱的L&D专家之一通话(他即将在我们的会议上演讲),他向我展示了他所在的大型制药公司如何将其LMS、LXP和人才市场融合成一个无缝、端到端的体系。他可能略微超前于当前趋势,但这正是事物发展的方向。 然而,故事还在继绀。又一场变革已经到来,这一次的影响力与YouTube、Instagram或iPhone相媲美,甚至更大。没错,就是AI。 AI,如许多人所预料,将彻底颠覆这个行业。正如我们在电子学习和人才管理时代所见证的那样,这意味着供应商生态将彻底改变。 AI如何改变一切 让我不夸大其词地告诉你。在这30年的故事中,有一点始终未变:企业培训关注的核心始终是内容。是的,我们希望内容更简短、更快速、能在手机上查看——但如果内容本身没有实用价值,不切实际,不易于消费,它就无法发挥作用。你们中有多少人为了得到学分而快速点击通过那些以页面为基础的合规课程,但实际上几乎没有注意内容?这正是我们面临的挑战。所有这些向视频、微学习、大规模开放在线课程(MOOCs)以及其他形式的转变,都是为了解决这个问题的尝试。 比如,假设企业学习系统能识别你是谁,你只需提出一个问题,它就能生成答案、一系列资源和一组动态学习对象供你消费。有时候,你可能只需快速获取答案即可。其他时候,你可能会深入研究内容。还有时,你可能会浏览整个课程,并花时间学习所需的知识。 假设这一切都是完全个性化的。这意味着你不会看到一个“标准课程”,而是根据你当前知识水平定制的特殊课程。 这就是AI即将带给我们的。而且,这已经在今天开始发生了。 不仅生成式AI能够回答问题和吸收内容(例如,Galileo™已经容纳了我们25年以上的每一项研究,包括视频、播客和文章),它还能生成视频、测试、测验甚至整个课程。它可以作为技术课程的教学助手,也可以作为领导力项目的教练或导师,并且能够进行语言转换。 AI能够根据你的身份动态生成内容,这意味着什么? 那么,LMS市场、LXP市场、VR学习市场以及所有内容提供商将如何呢?在未来几年,我们将见证一场巨大的行业洗牌。 供应商正在采取的行动 虽然我无法确切知道每个L&D供应商正在做什么,但可以肯定,变化正在迅速进行中。 Docebo Shape能够从文档中生成高效的互动式培训材料(Arist也能做到这点)。Uplimit构建了一个完整的L&D平台,采用AI智能体和课程中自动生成的内容。我们的合作伙伴Sana不仅能自动生成内容,还围绕AI核心建立了一个完整的LMS系统。Cornerstone通过收购Talespin,能够动态创建角色模拟和几乎可以无限配置的场景。快速增长的“精确技能”供应商Growthspace,可以根据1100种具体的商业技能,为你匹配一个“技能教练”,与你的具体目标对齐。 LMS市场不会消失,但正如人才智能系统正在逐渐取代应聘追踪系统(ATS)和人力资源管理系统(HRMS)一样,AI驱动的内容平台将逐步侵蚀LMS市场。我的制药公司朋友希望他的LXP能成为他们的“动态内容系统”,但坦白说,我不确定LXP供应商是否已经准备好迎接这个挑战。许多供应商,从LinkedIn到Microsoft,将不得不重新考虑他们如何成为“动态学习”系统,以及他们希望在其中扮演什么角色。 正如所有技术转变一样,通常情况下,从头开始构建的系统会超越旧有系统。对于Cornerstone或Docebo这样拥有数千客户的公司来说,当新技术出现时,他们不能简单地“替换”他们已经建立的系统。因此,新兴的AI驱动学习系统可能会由新的供应商推出,并随着这些公司的发展,开始取代和竞争现有的系统。 尽管看上去简单,学习技术实际上非常复杂。Workday几乎花了十年时间从Mediacore发展到一个相对健全的LMS,并且他们才刚刚开始尝试AI。因此,不要期望你现有的供应商能够一夜之间彻底改变。 但有一件事我可以确定:颠覆即将来临。就像Plateau、Saba和SumTotal在2000年代初期时“市场上最热门的供应商”一样,它们很快就成为了过时系统和收购目标,当市场变化时同样的情况也可能发生在今天。新兴供应商如Sana、Growthspace、Uplimit、Docebo、LMS365等将崭露头角。 尽管风险资本家通常对这个市场持谨慎态度,但往往是那些拥有最佳管理团队的公司最终胜出。大型供应商如LTG、Cornerstone和Skillsoft拥有充足的资金,因此随着市场的发展,任何事情都有可能发生。但对我来说,一件事是明确的:前方是一个巨大的增长周期。 AI的机会是真实的,而且极为巨大 想象一下我们公司中的遗留内容量。全球必然存在价值超过一万亿美元的  合规培训、销售培训、运营培训、安全培训和领导力发展内容。如果AI能够在大规模上“重新利用”和“再创造”这些内容,我们将看到这个巨大的市场向新系统转变,最终实现知识管理和学习的完美结合。 我来举一个简单的例子。我们的一位Galileo客户是一家拥有百年历史的大型航空航天公司,他们在工程、产品设计、航空和国防技术方面有着丰富的积累。他们构建了喷气引擎、导弹、核潜艇以及各种系统。对于一名新工程师,他们需要超过三年的时间来完成“入职培训”,因为需要掌握大量的知识产权、设计专长和系统操作。他们的资深工程师们都在逐渐退休! 他们在我们的帮助下,开始了一个以AI为中心的试点项目,把多年累积的内容放到一个新平台中,供年轻工程师使用。我相信,这将带来翻天覆地的变化。Galileo将协助处理管理层面的问题,而一个类似的AI助手将帮助工程师学习、寻找文档、观看视频并参加相关课程。传统的LMS和HRMS工具可能不会在这一过程中发挥重要作用。 考虑一下你的公司。你们囤积了多少内容、专业知识和旧有的培训资料?AI可以“释放”这些资源给你的员工,使其以前所未有的方式变得可用。这是一个激动人心的新时代,充满了即将到来的变革。
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    2024年03月21日
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    Glassdoor匿名社区被实名的隐私泄漏事件:职场社交平台的信任危机 概要:网友爆料Glassdoor未经同意添加真实姓名到用户档案,威胁到匿名安全。用户Monica发现自己的全名和城市信息被不正当添加。Glassdoor坚持此举合法,但却加剧用户对数据泄露和法律风险的恐惧。此举反映了Glassdoor收购Fishbowl后对身份验证政策的更改,引起公众对其长期匿名承诺的质疑。用户的担忧加深,要求更大的透明度和对个人数据的控制。保护隐私,维护信任应成为首要任务。 一个匿名让大家发表工资和对老板公司评论的公司,悄悄得把用户的真实信息添加到用户资料中。。。引发了巨大的风波。 随着Glassdoor被曝未经允许添加真实姓名到用户个人资料,公众对隐私的担忧急剧上升 在一件震惊公众的事件中,广受欢迎的员工评价及公司透明度平台Glassdoor的用户披露,他们的真实姓名在未征得明确同意的情况下被添加至他们的个人资料中。这一隐私侵犯事件在专业社区引发广泛关注,人们开始质疑在处理用户数据时的道德界限,以及这一事件对职场评价平台匿名性的可能影响。 一位名为Monica的Glassdoor用户通过一篇博客文章引起了人们的关注。她在文章中详细描述了在与客服互动后,自己的名字和所在城市怎样意外出现在了她的Glassdoor个人资料上——这是她声称在注册过程中从未提供过的信息。她的经历揭露了Glassdoor在数据处理方面的做法,表明用户的个人信息可能基于从电子邮件往来中提取的详情而被添加到个人资料中。 这一事件不仅破坏了用户对Glassdoor隐私保护承诺的信任,也引发了人们对于数据泄露或法律行为可能导致身份暴露的担忧。Glassdoor一直以其用户政策中的匿名保证为核心,这一政策允许人们在不担心遭受报复的情况下,坦诚地分享对雇主的看法和意见。 争议随着Glassdoor在2021年收购了Fishbowl而进一步加剧,这一行动需要更改用户验证方式。 这次整合导致人们更加密切关注Glassdoor对用户隐私的承诺及其服务条款调整的透明度。 这种情况引发了关于用户隐私和平台内容真实性之间平衡的重大问题。电子前沿基金会(Electronic Frontier Foundation)的律师Aaron Mackey表达了对于用户信任可能被侵蚀和此类政策变动可能带来的法律后果的担忧。这一发展可能成为行业对用户隐私处理方式的一次重要测试,特别是在数字权利和数据保护日益受到关注的情况下。 面对这些指责,Glassdoor的回应显得比较温和,其发言人Amanda Livingood发表了一份声明,强调该公司对匿名性和用户选择的承诺。然而,缺乏开放的对话和对数据处理流程的明确解释,使许多用户感到不满,并对平台的未来方向持谨慎态度。 这一事件的影响超越了Glassdoor本身,标志着专业网络和评价行业可能迎来转折点。这个领域的公司可能会面临更大的压力,要求它们加强对数据处理实践的透明度,并加强对未授权信息更改的防护措施。 随着事件的进一步发展,这一情况可能促使相似平台重新评估其政策,推动整个行业向着更严格的隐私标准和以用户为中心的数据政策集体前进。Glassdoor的这一插曲不仅凸显了透明度与隐私之间的细微平衡,也强调了在信息和用户赋权时代,数字平台面临的挑战正在不断演变。
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    2024年03月21日
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    首位人工智能软件工程师 Devin诞生,会改变职场? Devin是由Cognition开发的第一个完全自主的人工智能软件工程师,标志着人工智能和软件开发行业的一个重大飞跃(点击这里访问视频)。 Devin通过独立解决GitHub问题和通过工程面试,证明了其执行专业工程任务的能力。这一革命性的AI正在改变技术与人类合作的动态,影响人力资源策略、人才获取以及自由职业和合同工作的未来。对于人力资源专业人士来说,像Devin这样的AI的崛起需要重新评估招聘实践并将AI整合到劳动力中,确保它补充而不是替代人类专业知识。 Devin的成功标志着劳动力动态的转变,强调人力资源在适应技术进步和AI开发的道德考虑方面的不断发展的角色。 在人工智能与软件开发的前沿领域,我们迎来了一个划时代的里程碑——全球首个完全自动化的AI软件工程师Devin的问世。由Cognition——一个专注于技术中的推理与规划的应用AI实验室所创造,Devin设定了全新的软件工程标准。 Devin之所以与众不同,在于它在软件开发过程中无需人工干预就能独立操作和解决问题的卓越能力。Devin不仅在SWE-Bench编码基准测试中独立解决了13.86%的GitHub开源项目问题,还成功通过了顶尖AI公司的实际工程面试,并在Upwork上完成了真实的工作任务,证明了其符合甚至超越专业工程标准的能力。 Devin的引入,不仅是技术实力的展现,更代表了技术与人类协作关系中的一次范式转变。Devin配备了完整的开发者工具集,并具有独特的学习适应能力,能够在软件开发生命周期内无缝工作,从修复bug到开发应用程序,再到微调机器学习模型,无所不能。 Devin的出现对人力资源专业人士和企业团队来说,意味着超出软件工程本身的深远影响。AI技术的融入劳动力市场,为HR部门带来新的机遇与挑战。AI能够自主完成面试并执行传统由人完成的工作,迫使人力资源部门需要重新评估招聘和管理的标准策略。 此外,Devin在Upwork等平台的成功案例,展示了自由职业和合约工作的新趋势,影响了公司对项目人员配置和远程工作政策的看法。对于人力资源部门来说,适应这一变化意味着将AI协作视为人才的补充,促进AI与人类共同创新的环境。 然而,引入AI工程师如Devin也带来了劳动力发展和AI伦理使用方面的重要讨论。人力资源专业人士在这些变革中将扮演关键角色,确保像Devin这样的AI进步加强而不是取代人类专长,并维持AI开发和部署的伦理标准。 随着Devin进入早期接入阶段,Cognition邀请工程师和企业团队体验与AI软件工程师合作的潜力。这不仅是科技行业的一大步,也是人力资源专业人士重新思考并塑造未来工作方式的号召。 总结而言,Devin的发布标志着软件工程和劳动力动态领域的重大转折点。随着AI技术的不断进步,人类与AI的协作提供了创新和效率的新途径。Devin从一个概念到一个运行中的AI工程师的发展,不仅展示了AI技术的快速发展,还突出了人力资源在技术驱动世界中日益变化的角色。
    头条
    2024年03月13日
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    Valoir 报告显示 HR 尚未准备好迎接 AI,你呢? 研究显示,人力资源管理领导者面临的主要问题包括缺少 AI 相关的专业知识以及面临的风险和合规性问题。 弗吉尼亚州阿灵顿--Valoir 发布的一项全球新报告显示,尽管 AI 驱动的自动化似乎无法避免,但人力资源部门似乎并未做好准备。这项涵盖超过150位人力资源执行官的调查揭示了利用 AI 的巨大机会,但同时也显示出在制定政策、实施实践和进行培训方面普遍存在不足,以便安全有效地将 AI 技术应用于人力资源管理。 “虽然许多机构开始采用生成式 AI,但很少有组织建立必要的政策、准则和保障措施。作为员工数据的保护者和公司政策的制定者,人力资源领导者需要在 AI 的政策和培训方面走在前列,不仅为自己的团队,也为广大员工群体做好准备。” 以下内容需要特别注意: “AI 正在快速融入人力资源管理领域,特别是在招聘、人才发展和劳动力管理等方面。然而,引入 AI 也伴随着诸如数据泄露、误解、偏见和不当内容等风险,”Valoir 的首席执行官 Rebecca Wettemann 表示。“面对这些挑战并采取措施减少风险的人力资源部门,可以显著提升其从 AI 中获得的益处。” 人力资源的自动化与战略转型潜力 报告指出,有35%的人力资源部门员工的日常工作非常适合自动化处理。在所有人力资源管理活动中,招聘环节最有潜力应用 AI 技术,并且已成为采纳率最高的领域,近四分之一的组织已经开始利用 AI 支持的招聘流程。人才发展、劳动力管理以及培训和发展同样被视为 AI 自动化的关键领域。 生成式 AI 正在加速人力资源部门的生产力提升及风险增加 尽管到2023年中旬,超过三分之四的人力资源领域工作者已经尝试使用过某种形式的生成式 AI,但仅有16%的组织制定了关于使用生成式 AI 的具体政策。而且,真正关于其伦理使用的政策数量更是寥寥无几。人力资源领导者认为,缺乏 AI 相关技能和专业知识是采纳 AI 的最大障碍,但只有14%的组织制定了有效的 AI 使用培训政策。这些政策对于确保所有员工都能充分利用 AI 带来的好处并最小化风险是至关重要的。 “尽管生成式 AI 正被广泛采纳,但几乎没有哪些组织建立了必要的政策、准则和保护措施。作为员工数据的守护者和公司政策的制定者,人力资源领导者必须在 AI 政策和培训方面先行一步,这不仅是为了他们自己的团队,也是为了整个员工群体的利益,”Wettemann 表示。 报告的关键知识点: Integration Challenges: HR faces challenges in managing AI use due to lack of policies, practices, and training. Early Adoption vs. Preparedness: While HR has been an early adopter of AI, most organizations still lack the proper frameworks for safe and effective AI adoption. Rapid Product Release: Post-Chat GPT announcement, HR software vendors have rapidly released generative AI products with varying capabilities. AI’s Double-Edged Sword: AI offers great benefits but also poses risks of "accidents" due to immature technology, inadequate policies, and lack of training. AI Experimentation and Automation Opportunity: Over three-quarters of HR workers have experimented with generative AI. 35% of HR tasks could potentially be automated by AI. Current AI Utilization: The main opportunities for HR benefits from AI are in recruiting, learning and development, and talent management, with recruiting leading in AI adoption. Adoption Barriers: Main hurdles include lack of AI expertise (28%), fear of compliance and risk (23%), and lack of resources (21%). Policy and Training Deficiencies: Only 16% of organizations have policies on generative AI use, and less than 16% have training policies for AI usage. Risk Areas in AI: Data compromises, AI hallucinations, bias and toxicity, and recommendation bias are identified as primary risks. Future Plans for AI: Over 50% of organizations plan to apply AI in recruiting, talent management, and training within the next 24 months. Least Likely AI Adoption: Benefits management has the lowest likelihood of current or future AI adoption due to data sensitivity concerns. AI Skills and Expertise: The significant gap in AI skills and expertise impacts the adoption and effective use of AI in HR. HR’s Role in AI Adoption: HR needs to develop policies, provide training, and ensure ethical AI use aligning with organizational principles. Recommendations for HR: Suggestions include experimenting with generative AI, developing ethical AI usage policies, creating role-specific AI training, and identifying employee groups at risk from AI automation.
    头条
    2024年03月12日
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    根据美世 2024 年全球人才趋势研究,高管认为人工智能是提高生产力的关键,但大多数员工尚未做好转型的准备 Mercer's 2024 Global Talent Trends Study unveils critical insights from over 12,000 global leaders and employees, highlighting the increasing importance of AI in productivity, discrepancies between executive and HR perceptions, the necessity of human-centric work design, and the growing challenges in trust, diversity, and resilience within the workforce. The study emphasizes the urgency of adapting talent strategies to foster greater agility and employee well-being amidst technological advances and shifting workforce dynamics. 美世今天发布了2024年全球人才趋势研究。该研究借鉴了全球 12,000 多名高管、人力资源主管、员工和投资者的见解,揭示了雇主为在这个新时代蓬勃发展而采取的行动。 “今年的调查结果突显了工作中的惊人转变,”美世总裁帕特·汤姆林森 (Pat Tomlinson) 表示。“他们指出,高管层和人力资源部门对于 2024 年业务发展的看法存在显着分歧,而且员工对于技术影响的看法也存在滞后。随着我们迎来人机团队的时代,组织需要将人置于转型的核心。” 生成式人工智能 (AI) 被视为提高生产力的关键 生成式人工智能能力的快速增长引发了人们对劳动力生产力提升的希望,40% 的高管预测人工智能将带来超过 30% 的收益。然而,五分之三 (58%) 的人认为科技进步的速度超过了公司对员工进行再培训的速度,不到一半 (47%) 的人认为他们可以通过当前的人才模式满足今年的需求。 “通过人工智能提高生产力是高管们最关心的问题,但答案不仅仅在于技术。提高员工生产力需要有意识的、以人为本的工作设计。”美世全球人才咨询主管兼该研究的作者 Kate Bravery 说道。“领先的公司认识到人工智能只是其中的一部分。他们正在从整体的角度来解决生产力下降的问题,并通过新的人机协作模式提供更大的敏捷性。” 寻找通向未来工作的可持续道路面临着挑战。四分之三 (74%) 的高管担心他们的人才的转变能力,不到三分之一 (28%) 的人力资源领导者非常有信心他们能够使人机团队取得成功。提高敏捷性的关键是采用技能驱动的人才模型,这是高增长公司已经掌握的。 员工信任度全面下降 2023 年,对雇主的信任度从 2022 年的历史最高水平下降,这是一个危险信号,因为研究表明信任对员工的精力、蓬勃发展感和留下来的意愿产生重大影响。那些相信雇主会为他们和社会做正确事情的人,表示自己正在蓬勃发展、具有强烈的使命感、归属感和被重视感的可能性是其他人的两倍。 近一半的员工表示,他们希望为一个令他们感到自豪的组织工作,一些公司的回应是优先考虑可持续发展工作和“良好工作”原则。鉴于公平薪酬(34%)和发展机会(28%)是员工今年留下来的主要驱动力,雇主有动力在未来一年在薪酬公平、透明度和公平获得职业机会方面取得更快进展。 在全球范围内,员工都清楚,归属感有助于他们成长,但只有 39% 的人力资源领导者表示,女性和少数族裔在其组织的领导团队中拥有良好的代表,只有 18% 的人表示,最近的多元化、公平性和包容性努力提高了员工保留率关键多元化群体。四分之三的员工 (76%) 目睹过年龄歧视。由于这些挑战加上持续的技能短缺,更多地关注包容性和满足员工的需求将有助于所有员工蓬勃发展。 未来几年,韧性将至关重要 最近在风险缓解方面的投资已获得回报,64% 的高管表示他们的业务能够承受不可预见的挑战,而两年前这一比例为 40%。通货膨胀等近期担忧严重影响高管的三年计划,但网络和气候等长期风险可能没有得到应有的必要关注。 建立个人韧性与企业韧性同样重要,五分之四 (82%) 的员工担心自己今年会精疲力竭。为员工福祉重新设计工作对于缓解这一风险至关重要,51% 的高增长公司(2023 年收入增长 10% 或以上)已经这样做了,而低增长同行中只有 39% 这样做了。 员工体验是重中之重 超过一半的高管 (58%) 担心他们的公司在激励员工采用新技术方面做得不够,三分之二 (67%) 的人力资源领导者也担心他们在没有改变工作方式的情况下实施了新技术解决方案。员工体验是今年HR的首要任务;这是一个值得关注的问题,因为蓬勃发展的员工表示雇主设计的工作体验能够发挥他们的最佳水平的可能性是普通员工的 2.6 倍。 人力资源部门在改善所有人的工作方面发挥着关键作用,但人力资源部门越来越有必要与风险和数字化领导者合作,以按要求的速度引入必要的变革。为了满足组织和员工的期望,96% 的公司计划今年对人力资源职能进行一些重新设计,重点是跨部门交付和领先的数字化工作方式。 投资者重视敬业的员工队伍 今年,美世首次收集资产管理公司关于组织的人才战略如何影响其投资决策的意见。近十分之九 (89%) 的人将员工敬业度视为公司绩效的关键驱动力,84% 的人认为“流失和燃烧”方法会损害商业价值。投资者还表示,营造信任和公平的氛围是未来五年建立真正、可持续价值的最重要因素。 单击此处了解更多信息并下载今年的研究。 关于美世 2024 年全球人才趋势研究 美世全球人才趋势目前已进入第九个年头,汇集了来自 17 个地区和 16 个行业的 12,200 多名高管、人力资源领导者、员工和投资者的见解,该研究重点介绍了当今领先组织为确保人员长期可持续发展所采取的措施。在此过程中走得更远的组织在四个领域取得了长足的进步。(1) 他们认识到,以人为本的生产力需要关注工作的演变以及工作人员的技能和动机。(2) 他们认识到信任是真正的工作对话,通过透明度和公平的工作实践得到加强。(3) 随着风险变得更加关联且难以预测,他们认识到,提高风险意识和缓解水平对于建立一支准备就绪、有复原力的员工队伍至关重要。(4) 他们承认,随着工作变得越来越复杂,简化、吸引和激励员工走向数字化的未来至关重要。 关于美世 美世坚信,可以通过重新定义工作世界、重塑退休和投资成果以及释放真正的健康和福祉来建设更光明的未来。美世在 43 个国家/地区拥有约 25,000 名员工,公司业务遍及 130 多个国家/地区。美世是Marsh McLennan (纽约证券交易所股票代码:MMC)旗下的企业,Marsh McLennan 是风险、战略和人才领域全球领先的专业服务公司,拥有超过 85,000 名同事,年收入达 230 亿美元。通过其市场领先的业务(包括达信、Guy Carpenter和奥纬咨询),达信帮助客户应对日益动态和复杂的环境。
    头条
    2024年03月07日
  • 头条
    FlexJobs 分享 20 个远程求职骗局以及 2024 年安全求职的关键提示 强烈推荐了解一下,HR要避免出现类似骗局的招聘信息。随着远程和混合工作需求的增加,FlexJobs分享了2024年20种常见的远程工作诈骗,并提供了安全求职的建议。文章强调了在当前就业市场中,骗子利用AI和社交媒体等新工具和方法盗取个人和财务信息的现象。为了保护求职者,FlexJobs展示了诈骗职位描述的语言和呈现方式,强调了识别职位描述、面试过程和社交媒体上的诈骗警告标志的重要性。文章结束时,给出了如何保持安全的建议,包括研究公司和联系人、直接联系公司以及立即报告欺诈活动。 Remote work, AI developments add to expanding employment scams in today's job marketplace BOULDER, Colo., March 5, 2024  Work-from-home jobs have long been a target for scammers seeking access to personal and financial information, and with the demand for remote and hybrid work, the number of online job scams has steadily increased. According to the Better Business Bureau (BBB), employment scams ranked as the second riskiest in recent years, with a 23% increase in reported cases. In honor of National Consumer Protection Week on March 3-9, and to help professionals stay safe in their job search, FlexJobs® has shared 20 remote job scams and advice on how to job search safely in 2024. "With scammers using new tools and methods of phishing for personal and financial information, it's more important than ever before that job seekers stay vigilant to the latest online career scams," said Keith Spencer, Career Expert at FlexJobs. "When in doubt, walk away––if you feel like a job may be a scam, it's not worth finding out the hard way," Spencer added. 20 Common Remote Job Scams in 2024 1. AI-Generated Job Postings and Fake Company Websites2. Cryptocurrency Exchanges and Ponzi Schemes3. Posing as a Legitimate Company or Job Board4. Using Fake URLs, Photos, and Company Names5. Gaining Access to Personal Financial Information6. Recruitment Over Social Media7. Posing as Recruiters with ATS-Compliant "Services"8. Communicating Through Chat9. Phishing Attacks Over Text Message10. Google Docs Inviting or Mentioning11. Paying for Remote Work Equipment12. Data Entry13. Pyramid Marketing14. Stuffing Envelopes from Home15. Wire Transfers16. Unsolicited Job Offers17. Online Reshipping18. Rebate Processor19. Assembling Crafts/Products20. Career Advancement Grants Notably, social media and technology advancements like AI have created new avenues for fraud. For example, one of the latest scams uses AI to create fake job postings and company profiles or websites that collect money directly from applicants and steal sensitive personal information. Scammers can also take to social media platforms to target potential victims and steal information with attractive job offers or involve them in multi-level marketing schemes. In addition to sharing the 20 newest and most common remote job scams, FlexJobs' remote work experts have provided examples of job postings that demonstrate the language and presentations of scams. They stress the importance of knowing the latest warning signs of a scam in job descriptions, interviews, and across social media. Job Scam Warning Signs: Job Descriptions The job posting uses words that are probably too good to be true, such as "quick money," "unlimited earning potential," or "free work-from-home jobs" The job claims to pay a lot of money for little work The company boasts several rags-to-riches stories that showcase high-flying lifestyles The job description is unusually vague The job posting mentions quick money or drastic income changes overnight The job posting has glaring grammatical or spelling errors The product is supposedly endorsed by celebrities or public figures The contact email address is personal (e.g., johnsmith3843@gmail.com) or one that mimics a real company's email address (e.g., johnsmith@dellcomputercompany.com) The job requires several up-front expenses from candidates Job Scam Warning Signs: Interviews Candidates get a message from a generic company email address – Recruiters use the job board or social media platform to communicate with candidates instead of their personal email addresses. The interview is alarmingly short – Job scammers don't want to conduct lengthy interviews and will offer candidates the job immediately. Legitimate recruiters want to establish a relationship, verify applicants' work experience, and ask for references. The entire interview process is done without speaking to a live person – Not speaking to a live person or including text or online chat tools is a red flag. Most legitimate companies don't reach out to recruit via text unless a candidate already applied on the company's site and opted to receive text messages. The candidate is asked for personal information or money – Sensitive information (like a social security number, date of birth, or bank account information) should never be a part of the early recruitment process. Legitimate employers and hiring managers don't require an application fee or expect candidates to pay for training. The interview is with a "mystery company" – Legitimate employers will always disclose the name of the company to candidates. Candidates are offered the job quickly – Often with a job scam, candidates are offered the role without a recruiter or HR verifying their work experience or asking for references. Pay is based on recruiting – Particularly with pyramid and other scams, a worker's compensation is based on how many people they recruit. Job Scam Warning Signs: Social Media Unclear or unrelated comments from a stranger – No matter what kind of post or which platform it appears on, if comments are enabled, scammers may appear in a job seeker's comments section. They commonly post a random message unrelated to the subject, then try to get users to directly message them (often by clicking a link) about an "amazing opportunity." Posts shared on an individual's feed or in their direct messages – Scammers will post or direct message people in hopes of getting them to take the bait on a job scam. When a scam appears on social media, report it. Never click any links or engage with these posts in any way. While anyone can fall prey to job scams, there are a few other things workers can do to stay safe: Research the company and contacts – What results do you get when searching [Company Name] + scam? Workers can also use the Better Business Bureau's scam tracker to review companies. Connect directly with the company – Go directly to the company website and see if the job is posted on their jobs page. Report fraudulent activities immediately – If a scam has been found, report the scam to organizations like the BBB and FTC. Please visit https://www.flexjobs.com/blog/post/common-job-search-scams-how-to-protect-yourself-v2/ or contact Shanna Briggs at shanna.briggs@bold.com for more information. About FlexJobsFlexJobs is the leading career service specializing in remote, hybrid, and flexible jobs, with over 135 million people having used its resources since 2007. FlexJobs provides the highest-quality database of vetted remote and flexible job listings, from entry-level to executive, startups to public companies, part-time to full-time. To support job seekers in all phases of their career journey, FlexJobs also offers extensive expert advice, webinars, and other resources. In parallel, FlexJobs works with leading companies to recruit quality remote talent and optimize their remote and flexible workplace. A trusted source for data, trends, and insight, FlexJobs has been cited extensively in top national outlets, including CNN, the Wall Street Journal, the New York Times, CNBC, Forbes magazine, and many more. FlexJobs also has partner sites Remote.co and Job-Hunt.org to help round out its content and job search offerings. Follow FlexJobs on LinkedIn, Facebook, Twitter, Instagram, TikTok, and YouTube.
    头条
    2024年03月05日
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    LinkedIn发现,内部流动正在蓬勃发展,但对于低级别员工来说却并非如此 文章讨论了公司内部流动性的增长趋势,强调其对提高员工保留率和参与度的好处。LinkedIn的最新研究显示,自2021年以来,内部职位变动增加了30%,主要在中层及以上员工中。报告强调需要通过提供可见性、支持和发展机会来创建一个包容的流动文化。此外,文章还提到了内部招聘的广泛好处,如节省成本和增强公司文化。成功的内部流动技能包括协作、适应性和包容性领导。 内部职位转换 —— 当一名员工在同一家公司内部转到一个新职位 —— 正在显著增长,自2021年以来增长了30%,根据LinkedIn在2月22日发布的结果。 增长的一个重要原因是,LinkedIn的高级内容经理Greg Lewis在一篇博客中指出,内部职位转换是一种未被充分利用的补充空缺职位的方法,同时也是一个强大的工具,用于增加员工保留率并保持员工的积极参与。然而,这种转换似乎主要局限于中级员工及以上级别:比起普通员工,管理层及更高级别的员工进行内部职位转换的可能性要高出两倍。 人力资源专家可以通过“创建更加包容和平等的内部职位转换文化”来帮助缩小这一差距,Lewis提出。这包括为内部职位空缺提供更多可见性和支持,鼓励跨功能合作和指导,寻找和培养内部转移者倾向于发展的技能,如多样性与包容性(diversity and inclusion)、情感智力(emotional intelligence)和变革管理(change management)。 根据人才获取公司Symphony Talent的二月份报告,近半数的人力资源专业人员表示,建立人才管道是他们2024年的首要目标。内部招聘可以成为这一管道的一部分,带来如节约成本和增加员工留存等积极结果,其他研究也已表明这一点。 过去几年这种做法有所起伏,2020年疫情期间达到高峰,The Josh Bersin Company之前的研究揭示了这一点。那时,公司利用现有员工填补劳动力缺口,并发现内部招聘有助于提高公司文化、提升员工保留率、降低成本和缩短招聘时间。 据LinkedIn称,内部人员流动率在2021年有所下降,但在2022年开始回升,并持续到次年。 正确的策略能使每个人受益,早期的LinkedIn研究显示。职业发展机会被员工视为留在公司的顶级原因之一,一位LinkedIn高管表示。那些提供个性化职业发展并帮助员工建立技能的组织,其内部职位转换率比缺乏培训的公司高出15%。 在这份报告中,LinkedIn比较了成员在开始新职位前12个月加到他们个人资料中的技能。结果显示,与离开公司的同事相比,内部转移者更有可能发展特定技能。 例如,内部转移者发展多样性与包容性技能的可能性几乎高出50%;发展情感智力技能的可能性高出27%;发展变革管理技能的可能性高出21%。其他显著的技能包括利益相关者参与(超过14%)和敏捷项目管理(12%)。 “最能预示内部职位转换者的技能主要围绕合作、包容和适应性 —— 能够与同事建立联系、让每个人感受到包容,并在组织层面推动变革,”LinkedIn表示。
    头条
    2024年03月02日
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    Workday收购HiredScore的意义,这可能颠覆人力资源科技领域 Workday计划收购HiredScore,这是人力资源技术领域的一次重大变革。HiredScore是一家领先的基于AI的招聘匹配工具提供商,此举将大大增强Workday在人才智能和招聘方面的能力。这次收购预计将整合HiredScore的专长到Workday的系统中,显著改善其应聘者追踪系统(ATS)、技能云和整体人才智能产品。此战略性收购可能会重塑人力资源软件市场,迫使其他供应商加速他们的AI计划,可能激发一轮新的收购热潮。 以下是原文: This week Workday announced intent to acquire HiredScore, a leading provider of AI-based matching tools for recruiting (called “talent orchestration”). While it wasn’t discussed much in the earnings call, this deal is a big positive for Workday and could have many implications for the HR Tech market. Let me explain. (I have not been briefed by Workday yet, so more information will come as I learn more.) Right now there is a massive marketplace war for high-powered AI-based recruiting tools (estimated at $30.1 billion). Historically dominated by applicant tracking systems (ATS), this market provides essential technology to help every company grow. The ATS market, which is more than 25 years old, has been rapidly transformed with high-powered AI tools that help with candidate matching, search, skills inference, and sourcing. And now that AI tools are readily available, these systems are becoming big data platforms loaded with billions of employee profiles, running complex AI models to help match people to jobs, projects, and gigs. Most ATS vendors (including Workday) have slowly extended into this space through matching. The original idea of a resume parser (software that reads a resume and scores it against a job description) has evolved into complex text analysis and AI-powered inference technology, forcing ATS vendors to invest. As the ATS vendors enhance their AI capabilities, a parallel universe of AI-first Talent Intelligence vendors emerged. These vendors, like Eightfold, Gloat, Beamery, Phenom, Seekout, Skyhive, Retrain, and Techwolf are building skills-centric big data platforms to match people to jobs, gigs, and mentors. These systems do much more than rate matches: they identify skills, find adjacent skills, match people to careers, find mentors, and more. They are essentially open big-data AI platforms built on vector databases that can be used for many enterprise apps (job architecture design, skills planning, internal mobility, pay equity analysis, etc.). In many ways they represent the future of HR Tech. (Read our Talent Intelligence Primer for more.) As the Talent Intelligence vendors grow, they start to deliver “HCM-threatening” platforms that impinge on the HCM “System of Record” idea. If you have all your employees, candidates, alumni, and prospects in Eightfold, Phenom, Seekout, or Gloat, for example, Workday or SAP look like a tactical payroll and workflow management system. (ServiceNow also understands this, and is building talent intelligence into its workflow platform.) Up until now the big HCM vendors like Workday, Oracle, and SAP have struggled to build these new systems, largely because their original architectures were not AI-based. So they’ve attracted customers with offerings like the Workday Skills Cloud or SAP Opportunity Marketplace that aren’t fully completed yet. We have talked with dozens of Workday Skills Cloud customers, for example, and they see it as an important “skills system of record,” but its real AI matching and inference capabilities have been limited. Along comes HiredScore, a well respected AI-based matching system with 150 employees and 40+ seasoned AI engineers in Israel. These folks are experts at candidate matching (quite a complex problem), and they’ve built a very innovative “orchestration” system to help line managers coordinate activities with HR business partners and recruiters (more on this later). While I’m sure they’ll continue to build out HiredScore, they can also contribute to Workday’s overall talent intelligence offering, improving the entire system – including the Skills Cloud, Workday Learning, Workday’s Talent Marketplace. As large as the recruiting software market is, the market for internal career tools, talent mobility, skills inference, and corporate learning is five times bigger. This acquisition gives Workday a shot in the arm to accelerate its entire AI platform strategy. (As the Identified acquisition did back in 2014.  Identified was the roots of the Workday Skills Cloud.) Market Implications Of This Move This move could change the market for HR software in a few significant ways. First, Workday Recruiting customers will be thrilled. Workday’s ATS now benefits from a first class matching and candidate scoring solution. This helps Workday compete with the bigger ATS players and gives Workday a new revenue source as they sell HiredScore to the existing 4,000+ Workday ATS customers. (Similar to the Peakon acquisition in Employee Experience.) And the talent orchestration features (kind of like a “staffing copilot”) gives Workday a very unique feature set. Second, this forces Workday’s talent intelligence partners to step up their game. Remember when Apple acquired Dark Sky, the most compelling micro-weather app on the market? Once they integrated it into Apple’s other apps, the market for third party weather apps went away. Workday could limit its partner network to avoid letting HiredScore competitors into the ecosystem. Third, this forces HCM vendors to accelerate their AI. Since HiredScore is such a well-respected product (every client we talk with adores it), it will become part of Workday demos and sales proposals quickly. Workday’s HCM competitors will start scratching around to find a similarly mature AI vendor to acquire. And that could kick off another round of acquisitions, similar to the frenzy that took place in the mid 2010s. Finally, there’s one more scenario, and I give this good odds. Not to be outdone by Workday, the Talent Intelligence vendors may just expand their ATS capability and decide to go “full stack.” I wouldn’t be surprised to see this happen. Why Is AI-Based Candidate Matching So Important Why is this technology so important? Well if you’ve ever tried to recruit on Indeed or LinkedIn, you know why. The quality and reliability of “candidate matching technology” is a lynchpin of a talent platform. Just as Google Search crushed Yahoo, Excite, and Inktomi, a powerful next-gen matching tool adds an enormous amount of value. Not only does it speed talent acquisition, it fuels all the internal mobility, career portals, skills, and eventually learning and pay systems. Why do I say this?  A “match” is a sophisticated problem. Unlike a Google search which looks at text and traffic, when you search for a person to fill a role you have to think about dozens of complex relationships. What are this person’s skills and capabilities? What are their credentials or certifications? Who else are they connected with? How likely will they fit into the job, role, and company? What is the impact of their industry experience? What tools and technologies do they understand? And it gets much more complex. The Heidrick Navigator platform (built on Eightfold), uses AI to assess functional skills for management and leadership, identifies a person’s “ability to drive results,” and more. This important application of AI powers many of the most important decisions we make in business. That’s why the Talent Intelligence space is growing so fast. As of this week there are more than 1,800 Director or VPs of “Talent Intelligence” in LinkedIn, and that number is up almost six-fold from one year ago. Can Workday take the lead in this emerging space?  It’s impossible to tell at this point, but the horses have left the gate and the race is on. This deal sets the players in the right lanes and feels like the earthquake to shake things up.  
    头条
    2024年03月01日
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