• Talent Management
    深度观察 | AI重构HR的未来蓝图：战略编排才是核心战场--解读Deloitte《HR Reimagined: Agentic AI for HR》 在AI加速重塑企业运作方式的今天，人力资源领域也正经历着一场深刻变革。2025年夏季，Deloitte  发布了最新研究报告 《HR Reimagined: Agentic AI for HR》，由资深人力资本与AI转型顾问 Greg Vert 和 Kyle Forrest 联合撰写。报告围绕“Agentic AI”（智能体AI）这一新一代技术，系统探讨了AI如何在HR全价值链中发挥作用——从战略规划、治理体系，到能力建设与技术架构，并通过16项HR核心能力与67个具体活动的分析，描绘了从AI辅助（Assisted）到增强（Augmented）再到AI驱动（AI-Powered）的成熟路径。 本文将结合报告核心内容与行业背景，带来一份深入的中文解读，帮助HR领导者与业务决策者理解AI在HR中的落地价值、潜在风险及战略编排方法。非常值得推荐阅读！！如果需要PDF 可以邮件我们 nacshr818@gmail.com 获取德勤报告 人工智能的快速发展，正在让HR领域面临一次前所未有的变革。从招聘到员工体验，从绩效管理到流程优化，AI的触角已经伸入几乎所有HR职能。Deloitte 在《HR Reimagined: Agentic AI for HR》中，描绘了一幅未来蓝图——AI不再只是工具，而是HR战略执行的核心力量。本文将结合报告要点，带来一份面向HR领导者的深度解读。 1. AI在HR的三种形态：从辅助到驱动 报告指出，AI在HR的应用大致分为三个阶段： 辅助型（Assisted）：AI为人类提供支持，如自动生成职位描述、初步整理数据等。 增强型（Augmented）：人类与AI交替协作，AI能处理部分复杂任务，如候选人筛选、知识库更新、调查分析。 驱动型（AI-Powered）：AI主导流程执行，人类负责监督与优化，例如自动完成员工咨询、生成分析报告、触发跨部门流程。 解读：企业应先明确自身在这三个阶段中的位置，然后规划向更高阶段的演进路径，而不是盲目堆砌工具。 2. Agentic AI：HR的“虚拟同事” 传统AI往往是功能插件，作用单一。而Agentic AI的特征在于：理解上下文、规划多步骤任务、调用不同系统完成工作，并能根据反馈优化执行。这类AI更像是一名“虚拟同事”，能够独立完成从信号识别到结果交付的全流程。 解读：这要求HR团队具备“管理AI”的能力——为AI设定任务边界、明确流程接口、评估其工作成效，而不是只当它是一个按钮或查询工具。 3. 角色重塑：从事务处理到战略赋能 AI的引入会让HR的时间分配发生显著变化： HR业务伙伴（HRBP）：从有限服务部分业务单元，转向为全体管理者提供战略性人才辅导。 卓越中心（COE）：从数据收集整理转向实时洞察与预测，参与前置决策。 HR运营（HR Ops）：80%以上的日常事务由AI执行，团队重心转向员工体验和流程改进。 解读：HR的绩效评估指标也应随之调整，从“完成多少任务”转向“业务贡献度”和“战略影响力”。 4. 高价值落地场景 报告给出了一些能快速显现成效的Agentic AI应用： 入职流程：多个AI协作完成任务分配、福利登记、培训安排，跨平台无缝衔接。 请假与返岗管理：AI提前识别返岗事件，触发跨部门流程，并根据反馈优化体验。 人才保留：AI实时分析流失风险并推送定制化留才方案，直接触发奖励或调配。 解读：这些场景有三个共性——跨系统、闭环执行、可持续优化，非常适合做为企业的AI试点项目。 5. 碎片化风险与战略编排 如果不同部门各自引入AI工具，很容易造成“67个AI源”的割裂局面：数据孤岛、体验不一致、治理困难。报告提出五个关键步骤来避免碎片化： 规划：目标与业务战略、员工需求一致； 治理：覆盖伦理、数据安全、信任机制； 能力建设：集中AI专业能力，设立卓越中心； 编排：工具互通并嵌入核心流程，而非外挂； 衡量：效率、体验、公平性与成果并重。 解读：这本质上是“企业级AI治理”的HR版本，需要跨部门协作才能真正落地。 6. 技术趋势：多智能体系统（MAS） 未来12-18个月，用户与HR系统的交互将从传统API调用，逐步转向多智能体系统（MAS）——多个AI可以相互协作、与人类互动、跨平台执行复杂任务。例如，招聘AI可以直接与培训AI、薪酬AI协作，实现从录用到入职培训到福利登记的自动化闭环。 解读：这意味着企业未来的AI生态将是“团队作战”而非“单兵作战”，需要提前规划架构与数据接口。 结语：AI价值取决于编排能力 AI进入HR是不可逆趋势，但它的价值并不会自动释放。真正的竞争力来自于战略性编排与持续优化——让AI不只是辅助工具，而是组织能力的一部分。对于想在未来人才竞争中保持领先的HR团队来说，现在正是重新设计角色、流程与能力结构的关键窗口期。 报告来源：Deloitte《HR Reimagined: Agentic AI for HR》 作者：Greg Vert 与 Kyle Forrest
    Talent Management
    2025年08月13日
  • Talent Management
    The top 5 HR trends today – and HR's guide to what's next SAP SuccessFactors 每年都会深入研究全球 HR 趋势，以帮助企业制定更有效的人才战略。2025 年，他们分析了来自 40 家全球权威媒体的 254 项预测，归纳出 5 大核心“元趋势”，展现 HR 在企业中的双重角色：既是变革的“指挥者”，也是政策落地的“引航者”。 1️⃣ 重新连接员工： 由于经济压力、决策争议和信任危机，员工体验恶化，57% 的员工认为如果公司不采取措施，他们的倦怠问题不会改善。HR 需关注心理契约，增强员工信任。 2️⃣ AI 从炒作走向实际价值： AI 进入大规模落地阶段，企业需明确 ROI 并平衡员工和领导者对 AI 价值的不同预期。46% 的员工认为 AI 省下的时间属于自己，而非公司。 3️⃣ 技能转型的平衡策略： 由于 AI 发展迅猛，企业技能鸿沟加剧。除了关注技能，薪酬激励成为推动学习的重要因素，54% 的员工表示，如果公司实施基于技能的薪酬体系，他们会更愿意学习新技能。 4️⃣ DEI&B 的分歧： 企业对多元化、公平性和包容性（DEI&B）态度不一，26% 的员工认为公司对 DEI&B 关注过多，而 33% 认为关注太少。HR 需明确 DEI&B 战略，以促进长期文化变革。 5️⃣ 混合办公的未来： 组织已基本确定办公模式，2025 年将验证其成效。54% 的员工愿意牺牲部分薪酬，以换取更大的工作灵活性。 这些趋势展现了 HR 在塑造未来工作模式中的关键作用，企业需借助创新技术和数据驱动的洞察来优化人力资源管理。 Each year, the HR Research Scientists at SAP SuccessFactors conduct research to understand the top HR and workforce trends facing organizations and share our perspective on what HR teams should consider as they look to help their companies address these trends. This year we aggregated and synthesized data from 40 global and regional reputable business press sources that put forward 254 individual trends and predictions grounded in their own research and data. We then conducted a content analysis of the trends sample to derive the five key themes, or “meta-trends.” While our annual report always includes some pointed commentary and critique about each trend based on our expertise in psychology, new this year is calling upon our own body of original applied research to incorporate datapoints and insights, resulting in a more evidence-based point of view. This year’s trends are in different stages of maturity and on different trajectories; therefore, the role that HR needs to play to help businesses tackle and capitalize on these trends is different. We’ve organized the trends into two sections aligned to the dual role HR will play in addressing them. First, HR will need to act as a Conductor, leading the orchestration of a strategy and associated change management across the business to realize the opportunities these trends offer: Trend #1: Reconnecting the disconnected employee: Contentious decisions, macroeconomic and sociopolitical stressors, and breached trust with leadership has led to employee stress and burnout – and consequently, a crisis of disconnect and counterproductivity. In the year ahead: Leaders must ruthlessly prioritize fulfilling their end of the “psychological contract” by meeting employees’ basic needs. People managers will be seen as a lifeline for employees drowning in disconnect. STAT: 57% of employees feel unless their companies make some serious changes, their burnout will not get better. Trend #2: Moving from AI hype to AI impact:Organizations are shifting from AI pilot projects to enterprise-wide rollouts, demanding proof of clear value and ROI. In the year ahead: Organizations will home in on their key value drivers for AI, revealing their true priorities. The body of research on the ROI of AI will be built this year. Organizations will find friction between leaders’ and employees’ goals for using AI. STAT: 46% of employees feel that the time that they save by using AI tools at work belongs to them, not their organization.​ Trend #3: Striking a balance to steer skills forward: Organizations continue to face pervasive skills gaps, in part due to rapid AI advancements. A more balanced approach is needed to see tangible progress in skills-based transformations this year. In the year ahead: “Skills-based” will no longer be the only goal. Pay will prove itself the missing piece of the upskilling puzzle. The human vs. technical skill debate will move from or to and. STAT: 54% of employees would be more motivated to learn new skills if their company instituted skills-based pay.​ Second, HR will need to act as a Navigator, leading the organization through precarious waters and circumventing obstacles to put policies into practice for the betterment of all stakeholders: Trend #4: Divesting or doubling down on diversity, equity, inclusions, and belonging (DEI&B): Some organizations remain committed to DEI&B goals, continuing to ask “How are we going to do this?” Others plan to divest, instead now asking “Are we going to do this?” In the year ahead: Some will shy away from DEI&B goals, but these approaches will vary. Taking a stand on DEI&B will change company cultures in the long term, but it’s not clear exactly how. STAT: 26% of employees say companies focus too much on DEI&B, 41% of employees say companies focus an appropriate amount on DEI&B, and 33% of employees say companies focus too little on DEI&B. Trend #5: Plugging into or pulling the plug on hybrid work: Now that organizations have determined their position on where their employees will work, it’s time to see if they achieve the outcomes they intended. In the year ahead: Those businesses choosing the return-to-office path will see whether their bets paid off this year. Those choosing the hybrid or remote path will take it a step further, integrating autonomy as a core value in other aspects of work design. STAT: 54% of employees would consider being paid less if they could have more flexibility in where and when they work. Read the report to see what’s now and what’s next for each trend, along with some fast facts that uplevel the nerdiness of this year’s trends report. We also include a section on how SAP SuccessFactors solutions can help organizations address the 2025 HR trends.
    Talent Management
    2025年03月07日
  • Talent Management
    HR and HRIS Trends for 2025: Key Priorities for HR Leaders to Address Today 随着2025年的临近，人力资源（HR）和人力资源信息系统（HRIS）正经历着加速变革的时期。HR流程的数字化、不断变化的员工期望以及新的职场动态，正深刻地重塑组织在人才管理和运营方面的方式。面对这些挑战，HR领导者必须提前洞察趋势并作出调整，以成功推动HR职能的转型。 HR Path作为该领域的领导者，被列入Gartner®《2024年HR转型咨询市场指南》的代表性供应商名单。这一认可彰显了我们在帮助企业进行HR转型方面的专业知识和承诺，使它们能够采用针对未来需求的最佳实践和技术。到2025年，HR领导者不仅需要应对快速变化的环境，还要利用工具和策略，让组织在竞争中保持优势。 本文概述了2025年的关键HR和HRIS趋势，并提供了实用的见解，帮助决策者制定策略并应对未来的挑战。 1. HR职能的数字化转型：至关重要的变革 HR流程的数字化已经成为战略重点。自动化行政任务并利用先进的HRIS工具，使HR领导者能够专注于更高价值的活动，如人才管理和提升员工体验。 人工智能（AI）和机器人流程自动化（RPA）等技术正在重新定义企业在招聘、培训、绩效管理和福利管理方面的方法。到2025年，HR数字化的步伐将因员工期望和业务效率的需要而进一步加快。 2. 员工体验：HR战略的核心 到2025年，员工体验仍将是HR的核心优先事项。员工期望迅速演变，灵活性、自主性、工作场所幸福感和成长机会成为吸引和留住人才的关键因素。 HR领导者需要实施能够为每位员工提供无缝且个性化体验的解决方案，无论他们的工作模式是现场、混合还是远程。HRIS工具通过集中信息、简化行政流程和改进组织内部的沟通，为员工创造一个他们感到被重视和投入的工作环境。 3. 人力资源数据在人才管理中的战略重要性 HR数据在战略决策中变得愈发重要。大数据和HR分析使HR领导者能够更好地理解员工行为、识别关键人才并预测未来技能需求。到2025年，利用HR数据进行战略决策将成为首要任务。 企业必须投资于收集、分析和利用HR数据的工具，以优化招聘、绩效管理和劳动力规划流程。定制的仪表板和报告将帮助HR领导者监控其战略的有效性，并根据实际业务需求进行调整。 4. 远程办公与灵活性：混合模式的演变 到2025年，混合工作模式将继续占主导地位，但会更加细化。许多公司可能会保留完全或部分远程的工作安排，而另一些公司则逐步恢复到更传统的现场模式，或实施符合其业务和员工需求的混合系统。 后疫情时期表明，没有单一方法适合所有组织。有些公司发现远程办公提高了生产力并提供了更大的灵活性，而另一些公司更重视面对面的协作和公司文化的加强。 企业需要找到平衡点： 对一些公司来说，这可能意味着固定的办公室日以维持团队凝聚力和协同工作。 对另一些公司而言，则可能是灵活的混合模式，让员工选择远程或办公室工作时间。 HRIS工具将在管理这种灵活性方面发挥关键作用，包括跟踪考勤、管理缺勤和优化工作日程。这些工具还将衡量这些实践对绩效和员工幸福感的影响。 5. 持续学习与技能发展：战略重点 到2025年，持续学习和技能发展将成为中心议题。企业必须预测岗位角色和技能需求的变化，以应对未来挑战。提升技能和重新培养将成为支持员工职业成长的首要任务。 HR领导者应投资于在线培训解决方案、学习管理系统（LMS）和学习体验平台（LXP），以提供灵活、可访问和个性化的培训路径。这些工具将帮助员工保持技能的更新，同时促进他们在组织中的成长。 6. 多样性与包容性：2025年的关键目标 多样性与包容性（D&I）将在2025年继续成为优先事项。企业必须实施具体的战略，以促进包容性的工作环境。HR领导者需要确保招聘、职业管理和薪酬实践的公平性和透明性。 HRIS工具应包括跟踪D&I计划和衡量进展的功能。目标是创造一个无论性别、背景或经验如何，每位员工都能茁壮成长的工作场所。 7. 员工幸福感：2025年的重点 员工幸福感，特别是心理健康，将成为2025年HR领导者的关键关注点。企业必须引入心理支持计划，促进工作与生活的平衡，并提供更加适应员工需求的工作空间。 HRIS工具可以整合幸福感项目，衡量员工满意度并提供支持服务。到2025年，创造一个健康的工作环境将成为吸引和留住顶尖人才的重要因素。 总结 2025年，HR和HRIS趋势将与组织的演进密不可分。为在这场转型中取得成功，HR领导者必须预测不断变化的员工期望，拥抱数字技术，并专注于灵活性、学习、多样性和幸福感为中心的战略。通过今天做出正确的决策，企业不仅可以应对当前的挑战，还能在未来职场中占据领导地位。   As we approach 2025, human resources (HR) and human resource information systems (HRIS) are undergoing a period of accelerated transformation. The digitalization of HR processes, evolving employee expectations, and new workplace dynamics are profoundly reshaping how organizations manage talent and operations. In light of these challenges, HR leaders must anticipate trends and adapt to drive the transformation of their HR functions successfully. HR Path, recognized as a leader in this field, was listed as a Representative Vendor in the Gartner® Market Guide for HR Transformation Consulting 2024. This acknowledgment underscores our expertise and commitment to helping businesses navigate HR transformations, enabling them to adopt best practices and technologies tailored to future demands. By 2025, HR leaders will not only have to manage a rapidly changing environment but also leverage the tools and strategies that will keep their organizations competitive. This article provides an overview of key HR and HRIS trends for 2025, offering practical insights to help decision-makers structure their strategies and address upcoming challenges.   1. The Digitalization of HR Functions: A Vital Transformation The digitalization of HR processes is now a strategic imperative. Automating administrative tasks and utilizing sophisticated HRIS tools allow HR leaders to focus on higher-value activities, such as talent management and enhancing employee experiences. Technologies like artificial intelligence (AI) and robotic process automation (RPA) are redefining how organizations approach recruitment, training, performance management, and benefits administration. In 2025, the pace of HR digitalization will continue to accelerate, driven by employee expectations and the need for overall business efficiency.   2. Employee Experience: The Core of HR Strategy Employee experience will remain at the heart of HR priorities in 2025. Employee expectations are evolving rapidly, with flexibility, autonomy, workplace well-being, and growth opportunities emerging as essential factors for attracting and retaining talent. HR leaders must implement solutions that provide a seamless and personalized experience for every employee, regardless of their role or work model (on-site, hybrid, or remote). HRIS tools play a crucial role in delivering this experience by centralizing information, simplifying administrative processes, and improving communication across the organization. The goal is to create a work environment where every employee feels valued and engaged.   3. The Strategic Importance of HR Data in Talent Management HR data is becoming increasingly central to strategic decision-making. Big data and HR analytics enable HR leaders to better understand employee behaviors, identify key talent, and predict future skill needs. By 2025, leveraging HR data for strategic decision-making will be a top priority. Organizations must invest in tools that collect, analyze, and utilize HR data to optimize recruitment, performance management, and workforce planning processes. Custom dashboards and reports will help HR leaders monitor the effectiveness of their strategies and make adjustments based on real business needs.   4. Remote Work and Flexibility: Evolving Hybrid Models By 2025, the hybrid work model will continue to dominate but with greater nuance. While many companies may maintain fully or partially remote work arrangements, others are gradually returning to more traditional on-site models or implementing hybrid systems tailored to their business and workforce needs. The post-pandemic period has demonstrated that no single approach works for everyone. Some organizations have seen telework boost productivity and offer greater flexibility, while others value physical presence for strengthening company culture and face-to-face collaboration. Businesses will need to strike a balance: For some, this might mean fixed in-office days to maintain team cohesion and synergy. For others, it may involve flexible hybrid models, allowing employees to choose when to work remotely or in-office. HRIS tools will play a key role in managing this flexibility by tracking attendance, managing absences, and optimizing work schedules. These tools will also measure the impact of these practices on performance and employee well-being.   5. Continuous Learning and Skills Development: A Strategic Priority In 2025, continuous learning and skill development will take center stage. Companies must anticipate changes in job roles and required skills to address future challenges. Upskilling and reskilling will become priorities for supporting employees in their professional growth. HR leaders should invest in online training solutions, learning management systems (LMS), and learning experience platforms (LXP) to provide flexible, accessible, and personalized training pathways. These tools will help keep employees’ skills up to date while fostering their growth within the organization.   6. Diversity and Inclusion: Achieving Key Objectives in 2025 Diversity and inclusion (D&I) will remain top priorities in 2025. Companies must implement concrete strategies to foster an inclusive work environment. HR leaders will need to ensure that recruitment, career management, and compensation practices are equitable and transparent. HRIS tools should include features to track D&I initiatives and measure progress. The goal is to create a workplace where every employee, regardless of gender, background, or experience, can thrive.   7. Employee Well-being: A 2025 Priority Employee well-being, particularly mental health, will be a key focus for HR leaders in 2025. Businesses must introduce psychological support initiatives, promote work-life balance, and provide more adaptable workspaces. HRIS tools can integrate well-being programs to measure employee satisfaction and offer support services. By 2025, creating a healthy work environment will be a critical factor in attracting and retaining top talent.   In 2025, HR and HRIS trends will be inseparable from organizational evolution. To succeed in this transformation, HR leaders must anticipate changing employee expectations, embrace digital technologies, and focus on strategies centered around flexibility, learning, diversity, and well-being. By making the right decisions today, companies can not only address current challenges but also position themselves as leaders in the future of work.
    Talent Management
    2025年01月16日
  • Talent Management
    Cornerstone Galaxy: Acquisition Of SkyHive Could Pay Off Cornerstone在人力资源技术领域长期以来一直是学习管理系统（LMS）的领导者。公司最近推出了Galaxy，这是一个集成了人工智能的全新人才管理平台。这一重大进展是在一系列收购之后实现的，尤其是最近收购了SkyHive，显著增强了公司的数据处理能力。Galaxy平台通过提供全面的技能发展、绩效管理和员工晋升系统，为HR技术空间树立了新标准。 Galaxy区别于市场上其他基于技能的或智能平台，例如Eightfold主要从人才获取开始，而Gloat着眼于人才流动性。Galaxy则从另一个角度出发，即员工发展，这是由Cornerstone在学习与发展（L&D）领域深厚的背景所支撑的。Galaxy系统内置了完整的用户界面，能够推断技能，让员工标记和评估自己的技能，帮助员工找到并完成各种学习形式，管理合规性和认证程序，通过任务、评估或管理辅导提升技能。 通过整合性能管理、发展计划、继任计划，以及招聘过程，Galaxy使公司能够通过绩效管理推动技能发展。在收购SkyHive之前，Cornerstone试图仅使用其LMS信息的数据集来实现这一目标，但这些数据并不足以构建完整的人工智能语料库。通过这次收购，Cornerstone获得了一个完整的劳动力市场数据系统、一个公司中立的职位架构以及大量行业技能，使Galaxy能够与其他主要的人才智能和人才市场供应商直接竞争。 Cornerstone spent the last decade acquiring LMS and talent software companies, all in a goal to build an integrated skills platform. Finally, after years of hard work and integration, the company introduces Galaxy, an advanced offering in the world of AI-powered HR systems. Before I explain Galaxy, the history is important. Founded in 1999, Cornerstone started as an e-learning platform company (CyberU). The company established a foothold in the emerging LMS market and grew through strong marketing, sales, and product innovation. Since then the company has gone public, reached a $5.2 billion valuation, and was then acquired by a private equity firm (Aug. 2021, three years ago). The new management team continued to acquire companies (EdCast, SumTotal, Talespin, and most recently SkyHive) and has now stitched these systems together into a unified platform called Galaxy. Galaxy, as I show below, is a skills-powered integrated talent management platform, built around the core of learning management. And this is what makes it unique. The other talent intelligence or skills-based platforms started elsewhere. Eightfold started in talent acquisition; Gloat started in talent mobility; SeekOut started in recruiting; Beamery started in CRM; and players like Retrain.ai and NeoBrain started in more vertical domains. Each of these companies use large-scale profile data to infer skills, give companies tools to find and match candidates, and eventually to deliver learning. Cornerstone, with deep background in L&D, is coming at this from another direction: employee development. The Galaxy system, which is built into a complete user interface, infers skills, lets employees tag and assess their skills, helps employees find and complete many forms of learning, manage compliance and certification programs, and advance skills through gigs, assignments, assessments, or management coaching. And since Cornerstone is an integrated talent suite, the system lets companies drive skills through performance management, development planning, succession planning, and also recruiting. Before the acquisition of SkyHive, Cornerstone was trying to do this with its own data set of LMS information. This data, which includes billions of learning records, was simply not sufficient to build out the entire AI corpus. By acquiring SkyHive, Cornerstone gained an entire labor market system of data, a company-neutral job architecture, and lots of industry skills. This brings Galaxy into direct competition with the other major talent intelligence and talent marketplace vendors. I have not yet talked with Galaxy customers, but the user experience is integrated and shows the sophistication of thinking under the covers. Remember that Cornerstone acquired Evolv, Clustree, and EdCast before acquiring SkyHive, so the team has been building AI capabilities and use-cases for several years. And now that Cornerstone has a VR platform for learning, more use-cases are coming. While I don’t know Cornerstone’s revenues, the leadership team assures me that the company is growing and the profitability is high. This means the company has long-term sustainability and despite its many acquisitions, is likely to evolve to “Oracle-like” status. (Oracle has acquired hundreds of companies over the years and now looks at M&A as one of its core strengths). Here’s the major play in the market. With 7,000+ customers, Cornerstone has many customers shopping for new tools. If Galaxy is as solid as it looked in the demos, some percentage of these buyers could upgrade to Galaxy and avoid the purchase of Gloat, Eightfold, or another LMS. While we cannot be sure where Galaxy will play, for companies that want to deploy a skills architecture across all talent practices, it looks like a solid option. Cornerstone Vision: Cornerstone User Experience Cornerstone Career and Talent Marketplace Cornerstone Performance Management Skills in Goal Management Why Cornerstone Still Matters Cornerstone has a massive customer base. The users of Cornerstone, Saba, SumTotal, Lumesse, and Halogen include many of the world’s largest companies and thousands of mid-market organizations as well. These organizations have invested billions of dollars into learning infrastructure, content, and user portals to reach employees. If Cornerstone Galaxy delivers on its promise, the company can help many of these organizations avoid buying lots of standalone new tools. And given Cornerstone’s size, the company could become, as I mentioned above, the “Oracle” of the space. And note, by the way, that a recent survey by HR.com found that the top rated HR tech issue to address is L&D infrastructure, so this issue is on everyone’s mind. While the market is highly competitive and there are many skills-based tools in the market, Cornerstone’s focus on L&D is unique. None of the other major LMS vendors have the skills infrastructure of Cornerstone today. If your skills strategy is focused on building skills, Galaxy may be the answer. More to come as we talk with more Galaxy customers. Additional Information  
    Talent Management
    2024年09月03日
  • Talent Management
    是时候重塑人才招聘了 -Research Shows It’s Time To Reinvent Talent Acquisition Josh Bersin 的文章 "研究表明，是时候重塑人才招聘了 "强调了人才招聘亟需进行的变革。由于只有 32% 的人力资源高管参与战略规划，而且许多人觉得自己只是个接单员，因此这篇文章呼吁进行战略改革。在劳动力短缺和急需技能型招聘的情况下，目前削减成本和减少招聘力度的方法与对技能型专业人才日益增长的需求相矛盾。文章敦促企业将人才招聘作为一项重要的战略职能，利用现代技术并将其与学习和发展相结合，以提高效率并关注内部人才流动。 原文如下： This week we published a disappointing research study, Talent Acquisition at a Crossroads. The study, conducted in partnership with AMS, points out that talent acquisition leaders (this is a senior position) are largely left out of their company’s strategic planning process and many feel they operate as “order takers.” In today’s world of labor and skills shortages, this is a wakeup call for change. Here’s the data: Among these 130+ HR executives only 32% are involved in any form of strategic workforce planning, 42% believe their company has no workforce plan at all, and 46% say “they’re running around to keep up.” And when layoffs do occur, often the recruiters go first. (Witness Tesla this week.) All this is happening in a world where 58% of companies feel skills shortages are significantly impacting their business plans, more than three-quarters believe they must transform their talent practices to grow, and “skills-based hiring” is a top priority yet difficult to implement. Here’s the paradox: companies are cutting their talent acquisition spending at the same time CEOs feel that skills shortages are getting worse. What’s going on? Talent Acquisition Needs A Reinvention Let’s just face it: recruiting as a business function has to change. Once considered the “staffing department,” where companies posted jobs and scanned resumes, talent acquisition has become highly strategic operation. What skills do we need? How do we find people who will fit our culture? What internal candidates should fill our key positions? Who are the right leaders for us to hire? Unfortunately, almost 80% of talent acquisition functions are quite tactical. PwC’s CEO survey found that CEOs rate “hiring” as the third most bureaucratic process in their companies, tied with “too many emails” and “too many meetings” as a time-wasting process. And that explains why two-thirds of TA leaders are being asked to cut costs. I had a conversation last week with a former TA leader for one of the Big Three automakers. He told me that in the fervor to hire staff for EV engineering he was asked to hire “any engineer he could find, regardless of skill,” because the company was in such a hurry. No time for skills assessment, competitive planning, or even location analysis. Just “go out there and hire engineers.” We have been studying the auto industry as part of our GWI study and found that important EV roles (reliability engineer or power plant engineer, for example), are quite specialized and hard to find. Strategic recruiting departments need to understand these roles and source these individuals carefully. Just hiring engineering grads from a local community college is not going to move this needle. (Consider the data by Draup on what these roles are. Talent Acquisition teams with talent intelligence skills can pinpoint who to hire.) And it gets worse. In our Dynamic Organization research we found that high performing companies focus heavily on internal hiring, talent intelligence tools to find hidden talent, and continuous internal development to fill skills gaps. We can’t simply throw job requisitions over to the recruiting function any more: the people we need may be buried inside the company. This week Tesla announced a layoff of 10% of their workforce. Was their time to balance and redeploy talent internally? Absolutely not. According to my sources every business unit had to let 10% go, and and many of the people being fired were talent acquisition leaders, the very people who help with these issues. We talk with many HR executives and there is an enlightened group. Companies that understand this issue (about one in eight) have elevated Talent Acquisition to a strategic function, they merge or integrate TA with L&D, and they redefine their recruiters as “talent advisors.” Mastercard, as a leader, just renamed their recruiters as “Career Coaches,” demonstrating their role in helping people find the right jobs. Despite the onslaught of AI, this role is becoming even more human-centric. High-powered recruiting teams source internal candidates, understand company culture, and have a deep knowledge of jobs, roles, and organizational dynamics. When well supported and trained, these professionals are strategic advisors, not just “recruiters.” And companies that understand this often outsource or automate much of the administration in recruiting. Technology plays a major role in this reinvention. Most large companies have dozens of legacy systems, many of which make the candidate experience difficult. When organizations focus on modernizing and streamlining their technology, talent acquisition can become 10-100X more efficient. This, in turn, gives recruiters and talent advisors the time to search for the right skills, carefully select the best candidates, and focus on internal hiring and development as a strategy. Technology Is Here But Not The Entire Answer Of all the HR technology markets, recruiting is the most innovative of all. New AI-powered systems like HiredScore (just acquired by Workday), Paradox (leader in conversational AI), Eightfold, Gloat, Draup, and Lightcast (pioneers in talent intelligence), and many others can reduce time to hire from months to weeks and weeks to days. But none of this technology works if the Talent Acquisition team is left on an island. In the last year I have met with more than 50 heads of talent acquisition and once the door is closed and we talk honestly, they always tell me the same thing. “We are not treated as a strategic function, we are being asked to cut costs, and we are constantly running from fire to fire to keep executives happy.” This type of “service-delivery” focus simply will not work in the new economy. What should companies do? As part of our Systemic HR initiative, we help companies evolve their TA Function to operate in a more strategic way. Organizations like Bayer, Verizon, and many others have elevated the role of recruiter to talent advisor, they’re building skills in talent intelligence, and they’re integrating the recruiting function with L&D, career management, and employee engagement. I’ve always felt that recruiting is the most important things HR professionals do. If we can’t get the “right” people into the company, no amount of management can recover. But what does “right” mean? And how can we source, locate, and attract these particular people? This is a highly strategic operation, and one that must integrate with internal mobility, culture, and employee experience. I encourage you to read our Systemic HR research, join our Academy, or reach out to us or AMS for advice. In this new era of talent and skills shortages, we simply cannot run recruiting in this tactical way any longer.
    Talent Management
    2024年04月24日
  • Talent Management
    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。
    Talent Management
    2024年03月21日
  • Talent Management
    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.
    Talent Management
    2024年03月12日
  • Talent Management
    The best HR & People Analytics articles of February 2024 I’m writing the introduction to this month’s compendium in New York, ahead of two events this week in the Big Apple. Firstly, I’m attending Gloat Live (thank you Ruslan Tovbulatov and the Gloat team), where I’ll be hosting a panel of three chief people officers – Michael Fraccaro Tanuj Kapilashrami and Tamla Oates-Forney– as well as sharing Insight222 research on building a data driven culture in HR. Also taking place this week is the Winter Peer Meeting for North American member companies of the Insight222 People Analytics Program, which is being hosted by Sally Masseyand Courtney McMahon at Colgate-Palmolive’s headquarters on Park Avenue. After a weekend back in the UK for my birthday, I’ll be heading back to the US for the Wharton People AnalyticsConference on March 14 and 15. If you’re going to Gloat Live or Wharton PAC, then please do come and say hello. I was also in Switzerland a few days ago for People Analytics WorldZürich (thanks to Barry Swales Ralf Buechsenschuss), and just a fortnight ago, Rob Etheridgeand his team kindly hosted the European Peer Meeting of the Insight222People Analytics Program at HSBC’s headquarters in London – you can read some of takeaways from London here. It’s certainly a busy period of travel - and lots of vapour trail! Attendees at the Insight222 Q1 European Peer Meeting for members of the People Analytics Program, hosted by HSBC in London Some of you have written to me to advise that you weren't able to join the recent Insight222 webinar on Turning Insight into Impact with People Analytics. You can find out more by scolling down to the Video of the Month below or access the recording by clicking on the image below. Looking for a new role in people analytics or HR tech? Before we get to this month’s collection of resources, I’d like to highlight once again the wonderful resource created by Richard Rosenowand the One Model team of open roles in people analytics and HR technology, which now numbers close to 500 roles. Share the love! Enjoy reading the collection of resources for February and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on January’s compendium (including those in the Comments below). If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. 2024 HR TRENDS AND PREDICTIONS DELOITTE – 2024 Global Human Capital Trends: Thriving beyond boundaries – Human performance in a boundaryless world The opening words of Deloitte’s 2024 Global Human Capital Trends perfectly capture the opportunity and challenge for HR today: “We’re operating in a world where work is no longer defined by jobs, the workplace is no longer a specific place, many workers are no longer traditional employees, and human resources is no longer a siloed function.” The seven trends covered in the report, each with its own chapter, are: (1) Embracing human sustainability, (2) Moving beyond productivity to measure human performance, (3) Balancing privacy with transparency to build trust, (4) Overcoming the imagination deficit, (5) Creating digital playgrounds to explore, experiment and play, (6) Cultivating workplace microcultures, and (7) Making the shift to a boundaryless HR. The report, which has 122 pages, is packed full of thought-provoking insights, visualisations and data – including FIG 1 and FIG 2 below. Kudos to the authors: Susan Cantrell Corrie Commisso Julie Duda Kraig Eaton Jason Flynn John Forsythe Michael Griffiths John Guziak Lauren Kirby David Mallon Mari Marcotte Shannon Poynton Nicole Scoble-Williams GAICD Yves Van Durme and Matteo Zanza. We’re operating in a world where work is no longer defined by jobs, the workplace is no longer a specific place, many workers are no longer traditional employees, and human resources is no longer a siloed function. FIG 1: In the era of human performance, business and human outcomes are mutually reinforcing (Source: Deloitte 2024 Global Human Capital Trends) FIG 2: Source: Deloitte 2024 Global Human Capital Trends ERNEST NG - What are the most Important things HR will need to focus on in 2024? | ALLISON BAUM GATES - Six predictions for the future of health, wealth, and work in 2024 | LYNDA GRATTON - Predictions for the Workplace of 2025, Revisited Continuing with the prediction vibe, here are two more thoughtful reflections on what lies ahead and one reflection, 15 years on, from Lynda Gratton on her previous predictions about the future of work. (1) Ernest Ng, PhD, now at HiredScore– who Workdayhas just announced their intent to acquire, highlights a number of predictions for the year ahead combining a focus on efficiency, incorporating AI into the way we work and supporting employees to navigate change. (2) Allison Baum Gates, General Partner at SemperVirens Venture Capital combines the future of health, wealth and work into her predictions including: “AI’s primary impact in 2024 will be accelerating a shift to skills-based organizations.” (3) Lynda Gratton reflects on her Predictions for the Workforce of 2025, which she originally made in 2010 covering what she got right, where she misjudged, and what she learned about experimenting. It will be wise to expect the unexpected. And when it comes, be prepared to observe closely, pivot quickly, and experiment widely. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK ALEX CAMP, PHIL KIRSCHNER, LAURA PINEAULT, AND PATRICK SIMON - Hybrid can be healthy for your organization—when done right Research from McKinsey suggesting that a fully remote organisation can demonstrate a level of organisational health that rivals, if not exceeds, the performance of most traditional companies. In the article, Alexandra Camp Phil Kirschner Laura Pineault and Dr. Patrick Simon highlight six priorities for companies aspiring to sustain a flexible or highly distributed workplace in parallel with top organisational health: (1) Remove ambiguity about working practices. (2) Reset performance expectations. (3) Be transparent. (4) Be purposeful about where people work. (5) Foster trust and a sense of support. (6) Test and learn. Fully remote organizations can demonstrate a level of health that rivals, if not exceeds, the performance of most traditional companies. FIG 3: Six priorities to sustain a flexible or highly distributed workplace (Source: McKinsey) KELLY JONES - Unlocking the Power of Hybrid Work: 5 Guiding Principles from Cisco's 3-Year Study Article | White Paper | Executive Summary Kelly Jones, Cisco's Chief People Officer, unveils the findings of a three year Future of Work study by Cisco’s People Intelligence Team, which was designed to explore the employee experience prior to the global pandemic, through the pandemic, to office re-opening and beyond. Kelly's article summarises five guiding principles for hybrid work including reimagining the office to create meaningful moments and encouraging leaders to be intentional with their attention. The executive summary also outlines five key findings and recommendations (see FIG 4): (1) People may be choosing to work from home, but in person touchpoints are still essential. (2) Effective collaboration is a balancing act. (3) Flexibility and choice positively influence engagement. (4) Leaders might be struggling the most. (5) Leader attention is the #1 predictor of engagement. Thanks to Roxanne Bisby Davis for highlighting. Make the office a magnet, not a mandate FIG 4: Source - Choice is Critical in the Future of Work (Cisco, 2024) MICHAEL ARENA AND PHIL ARKCOLL - Enabling High-Velocity Teams As Michael Arena and Philip Arkcoll outline, the significance of teams has never been greater, yet their effectiveness depends on being able to operate with both speed and focus. The article presents the findings of their research as to why focused teams outperform, and then provides five practices designed for teams to imbue more intentional collaboration: (1) Leverage collaboration phases. (2) Focused team structure. (3) Minimise frequent team shifts. (4) Actively manage dependencies and distractions. (5) Formation of integration teams. With the rapid advancements in technology today, optimal team performance and speed matter disproportionately in ensuring market success. FIG 5: Internally and externally focused agile teams (Source: Michael Arena and Philip Arkcoll) GAD LEVANON | SHRM & THE BURNING GLASS INSTITUTE - Generative Artificial Intelligence and the Workforce The Burning Glass Institute continues to publish fascinatingly insightful reports about the world of work. In their latest report, in collaboration with SHRM, Gad Levanon investigates how GenAI will impact industries, companies, and jobs, and reshape the economy. It reinforces that GenAI will have the greatest impact on high-skilled, professional work, provides indications of how GenAI will impact the economy (see FIG 6) and provides four actions for CHROs to: (1) Evaluate your organisation’s composition, (2) Evaluate the roles within your organisation, (3) Consider your current talent pipeline, and (4) Develop a game plan. In the coming years, GenAI will both drive massive boosts in productivity and necessitate layoffs. Begin planning ways to leverage GenAI’s productivity benefits and prepare for the disruptions to your workforce through a combination of upskilling investments to give workers the skills to remain relevant and reskilling programs to reposition workers in areas of more stable demand. FIG 6: Sequence of economic disruptions caused by GenAI (Source: SHRM and The Burning Glass Institute) FIG 7: Implications of GenAI for HR functions (Source: SHRM and The Burning Glass Institute) ANA KREACIC, AMY LASATER-WILLE, LUCIA URIBE, RAVIN JESUTHASAN, JOHN ROMEO, AND SIMON LUONG - How Generative AI Is Changing The Future Of Work | TED LIU, CARINA DENG, AND KELLY MONAHAN - How Generative AI Adds Value to the Future of Work Two studies analysing the impact of GenAI on the world of work. The first by Ana Kreacic Amy Lasater-Wille Lucia Uribe Ravin Jesuthasan, CFA, FRSA John Romeo and Simon Luong for the Oliver Wyman Forum finds that GenAI could add up to $20 trillion to global GDP by 2030 and save 300 billion work hours a year. It also finds that while 96% of employees believe AI can help them in their current job, 60% are afraid it will eventually automate them out of work. There are numerous other insights and visualisations in the 100 page report including a projection of the likely productivity gains at work from GenAI in the next decade (see FIG 8). The second study, by Ted Liu Carina Deng and Kelly Monahan, Ph.D.for the UpworkResearch Institute, provides a comprehensive analysis of the initial impact of GenAI on the Upwork marketplace for independent talent. It finds that the impacts may already being felt with reductions in demand for work such as writing and translation and a surge in demand for skills associated with GenAI such as data science and analytics. Generative AI could add up to $20 trillion to global GDP by 2030 and save 300 billion work hours a year. FIG 8: Phases of generative AI’s impact on productivity at work (Source: Oliver Wyman Forum) GEORGE WESTERMAN, SAM RANSBOTHAM, AND CHIARA FARRONATO - Find the AI Approach That Fits the Problem You’re Trying to Solve | TOMAS CHAMORRO-PREMUZIC - 7 Strategies to Get Your Employees On Board with GenAI | ANDY BALDWIN - 3 Ways to Embed DEI Into Your Company’s AI Strategy | MARTHA CURIONI – Why is Explainable AI Important for HR? | BRETT DYKES - Why AI Isn’t Going To Solve All Your Data Culture Problems There may be a far degree of hype around GenAI, but it does seem to be accelerating the engagement of HR leaders and professionals with AI, and is also leading to an increasing number of thoughtful studies and articles on AI, including these five resources: (1) George Westerman Sam Ransbotham and Chiara Farronatooutline four categories of advanced analytics – GenAI, traditional deep learning, econometrics, and rule-based automation, and offer five questions to ask about AI’s constraints including: What is the cost of being wrong? (2) As Dr Tomas Chamorro-Premuzic observes: “the human factor — people and culture — will drive the adoption of AI, or lack thereof.” Tomas then presents seven strategies to get employees on board including i) focusing on the problem that GenAI can solve, and ii) being proactive about ethical concerns. (3) In his article for Harvard Business Review, Andy Baldwin outlines three ways to incorporate DEI into AI strategy through: i) embedding DEI into the design of your AI systems; ii) incorporating DEI into any AI-related upskilling programs; and iii) using AI as an opportunity to boost DEI. (4) Martha Curioni defines explainable AI and explains why it is critical to HR so it can provide transparency, build trust, mitigate bias and enable data driven decision making. (5) Finally, Brent Dykes cautions that while a recent study found that GenAI had catalysed a dramatic rise in the number of companies that reported they had ‘created a data-driven organization’ (from 23.9 percent in 2023 to 48.1 percent in 2024), AI is not a silver bullet for data culture. He illustrates this (see FIG 9) by referencing a study a European bank did to assess its own data culture, before highlighting two proven ways to build a data culture: executive sponsorship and role-modelling, and talent. As with any aspect of digital transformation, the effective deployment of generative AI will depend less on technological capability than on human adaptability FIG 9: Source: Brent Dykes, Analytics Hero PEOPLE ANALYTICS MARIËLLE SONNENBERG, FEDERICO BECHINI, SIETSE SCHRÖDER, AND CAITLIN VAN MIL - Our Real-Life Journey with GenAI in Skills and Talent Management (with code!!) | ADAM MCKINNON – Introducing Lex – Australian Employment Law Support AI | ALEC LEVENSON - A killer app with huge upsides and dangerous downsides: Applying AI to People Analytics Two examples of GenAI in People Analytics in practice – and an article by Alec Levenson on AI in people analytics. (1) the Wolters Kluwer talent analytics team of Mariëlle Sonnenberg, PhD Federico Bechini Sietse Schröder and Caitlin van Mil share a case study of using GenAI to provide the foundation of their work to transition to a skills-based organisation. The article shares learnings from their journey (and the code!) including tips around data security, prompts, and system testing. (2) Adam McKinnon, PhD. presents Lex – an AI chatbot that has been trained on Australian workplace legislation. As Adam explains, Lex has been trained not to make up answers, and it should refuse to answer any question that cannot be answered using the legal documents it has been trained on. (3) Alec Levenson addresses the potential upsides and risks of applying AI to PA before providing a roadmap for ethical and effective application. A human- and science-based perspective on any People Analytics model’s predictions is always needed, whether AI is applied or not. PIETRO MAZZOLENI - Unlocking People Data: Lessons from Transforming IBM's Data Platform to Elevate People Analytics - The Why and the What | JON LESTER - Creating the future of human resources Pietro Mazzoleni presents the first edition of what promises to be an interesting and insightful new LinkedIn newsletter, People Data Platform, which will explore the evolution of IBM's internal people data platform and its role in fostering data democratisation and people analytics. The first instalment covers the what and the why, and also provides an overview of Workforce 360 (W360 – see FIG 10), IBM’s internal people data platform. Pietro explains that the initial focus for W360 was (1) to digitalise People Scorecard, IBM´s main talent dashboard that measures the health of the workforce, and (2) to scale IBM’s advanced AI solutions like Job Recommendation, Attrition Risk Analysis, and Compensation Advisor. I recommend reading Pietro’s article alongside the second article, featuring Jon Lester on how in an initial pilot in IBM Consulting, a digital AI assistant (HiRo) saved 12,000 hours in one quarter, and halved the quarterly promotion process from 10 to 5 weeks. FIG 10: Benefits of Workforce 360 (Source: IBM, Pietro Mazzoleni) WILLIS JENSEN - Why Is It So Hard to Get Finance and HR Aligned? | JACKSON ROATCH - The Behavioral Economics of Return to Office | LYDIA WU - The Problem with “I Don’t Disagree” in People Analytics | JARED VALDRON - An FAQ on Generative AI in People Analytics | ANSHUL SHEOPURI - People Operations As A Critical Differentiator For Employee Experience | JUSTIN PURL - The People Analytics Method: Why TikTok's Head of Global People Analytics prioritizes context not control As has also been the case in recent months, February saw a number of articles from current and recent people analytics leaders. These act as a spur and inspiration to the field. Six are highlighted here. (1) Willis Jensenboils down the traditional disconnect between HR and Finance teams on headcount: “There are some fundamental differences in counting the number of people (headcount) versus counting the amount of worker productivity (FTE) and both are necessary for different goals.” (2) Jackson Roatchanalyses the return to office topic through the lens of behavioural economics. (3) Lydia Wubreaks down why hearing “I don’t disagree” is a problem for people analytics, and in doing so highlights the importance of building trust with key stakeholders. (4) Jared Valdronprovides a set of answers to 18 frequently asked questions about GenAI in people analytics including i)) Is generative AI a good co-pilot for programming? ii) How will generative AI change the People Analytics job market? (5) Anshul Sheopurihighlights five areas where providing a frictionless experience is key to a successful EX program including i) Design with the user in mind and build for scale, and ii) Trusted data enables a solid foundation and responsible AI delivers personalised experiences. (6) Justin Purl Head of Global People Analytics of TikTok, introduces The People Analytics Method (see FIG 11) as a scientific approach for accumulating context that delivers impactful insights and supports HR decision-making While it can be challenging to measure the financial impact of HR projects, that shouldn’t stop HR from trying to build those business cases. FIG 11: The People Analytics Method (Source: Justin Purl) Two key parts of The People Analytics Method are understanding context and engaging employees. THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE J. PUCKETT, VINCIANE BEAUCHENE, PATRICK ERKER, AND ZHDAN SHAKIROV – Is Your Upskilling Program Paying Off Measuring the Return on Learning Investment is arguably the Holy Grail of upskilling programs, but according to this article by BCG it is in fact possible. In their article, J. Puckett Vinciane Beauchene C. Patrick G. E. and Ƶhdan Shakirovpresent a three-step approach: (1) Identify the desired business impact upfront. (2) Define the metrics for holding the program accountable to that impact and measuring progress. (3) Determine whether the targeted impact has been achieved. Before embarking on any upskilling program, organizations first need to establish the business impact they will measure after the program is over. FIG 12: Metrics for assessing the impact of learning programs (Source: BCG) DAVE ULRICH AND HARRISON JAMES - How to Ensure that Human Capability Investments Deliver Stakeholder Value As Dave Ulrich and Harrison James explain in their article, organisations typically rely on benchmarking and best practices to evaluate the return from human capital investments. They argue that these methods are often limited and do not provide the specific guidance to impact the business results of individual companies. Their article sets out an alternative: an Organization Guidance System (OGS), which begins by identifying the stakeholder outcomes relevant in your company as a precursor to then determining through providing an opportunity score (see FIG 13) for which human capability initiatives best deliver those outcomes. FIG 13: Source: Dave Ulrich, The RBL Group WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS MARC EFFRON - Is the Juice Worth the Squeeze? Questions About Becoming a Skills-based Organization As Marc Effron of The Talent Strategy Group highlights in his remarkable must-read article, there have been many claims made by consulting firms and technology providers about the case for shifting to being a skills-based organisation. In the article, Marc examines these claims, asking and answering 17 questions about skills-based organisations. The questions include: (1) If a skills-based approach is needed, why is it needed? (2) What changes will my organisation have to make to become a skill-based organisation? (3) Is there any proof that a skills-based approach delivers results? (4) Will AI and technology solutions better enable companies to track, manage and match skills? (5) How predictively accurate are skills in determining performance? Whatever side of the skills-based organisation debate you are on, I highly recommend reading Marc’s article. At best, shifting to a skills-based environment can help some people in some situations at a large cost. It is likely best suited to industries where there is financial largess including pharmaceutical, banking, and larger consumer products firms. At worst, it reflects HR’s continued pursuit of novelty with the giddy support of technology and consulting firms that are all-too willing to promote and enable this questionable solution. SCOTT REIDA - Draft priority role competency needs over time using ChatGPT4 and Tableau A practical and technical guide from Scott Reida a workforce strategist at AWS, as he demonstrates how to use ChatGPT to drive talent intelligence by identifying current and future developments for key roles within an organisation. Scott visualises the outputs from ChatGPT in Tableau over a time horizon of ten years using the example of competencies for a data scientist. FIG 14: Source – Scott Reida (access here) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING ALICE DAMONTE, DANIEL MORALES, AND SARAH TOBEY - Employee listening programs and how to keep employees talking | IT SURVEY GROUP - What’s on the Horizon? Three Trends That Will Shape Employee Listening in 2024 Alice Damonte Daniel Morales and Sarah Tobeyfrom McKinsey’s internal people analytics and measurement team share learnings from Pulse, their continuous listening program. This capability has already enabled the team to shape more than 300 different initiatives since it was established three years ago. Their article focuses on two key elements of a successful employee listening program: (1) Making it easy and meaningful for employees to participate, which is enabled by providing transparency through firm-wide readouts, community dialogues, and individualised insights with support. (2) Making it straightforward for leaders to listen and act, which the team enable through ‘care packages’ to help leaders focus their attention on what matters most. For readers that enjoy this, I also recommend the second article, which features EX/HR leaders such as Kristin Saboe, Ph.D. Caitie Jacobson Stephanie Andel, PhD Patrick Gallen, MSOD Madison Beard and Ronald Ivan Dela Cruz forecasting three key trends for employee listening in 2024. To ensure an employee listening channel is sufficiently well stocked with timely insights, it must be easy and meaningful for employees to participate, and straightforward for leaders to listen and act. FIG 15: Source: McKinsey FIG 16: Three key trends shaping employee listening in 2024 (Source: IT Survey Group) LEADERSHIP AND CULTURE AMY C. LEWIS, ANDREA DERLER, CUTHBERT CHOW, MANDA WINLAW, AND DANI HAIG – Designing Impactful Teams: Data-backed insights about effective team size What does team size have to do with designing high-performing teams? That was the exam question, the Visier Inc.team of Andrea Derler, Ph.D. Cuthbert Chow Manda Winlaw and Dani Haigsought to answer in a collaborative study with Amy C. Lewis, PhD Professor of Management at the College of Business at Texas A&M University-San Antonio. Key findings include: (1) Most people work in teams of six to ten. (2) Team size varies by the nature of the work. (3) Smaller teams have more high performers. (4) Smaller teams have lower resignation rates (see FIG 17). The report has some helpful insights for those studying team effectiveness and involved in organisational design work. FIG 17: Smaller teams have lower resignation rates (Source: Visier) SPENCER HARRISON AND KRISTIE ROGERS - Building Culture From the Middle Out The premise of a study by Spencer Harrisonand Kristie Rogersis for a business to harness the power of culture, it needs managers and team leaders to go beyond believing that they are responsible for culture to actively building it. Their research finds that managers that successfully achieve this are able to link the ‘big-C’ culture of their organisation (e.g. the official set of values) with the ‘small-c’ culture that plays out in the narrower and vibrant daily patterns of interaction (see FIG 18). The article highlights four successful strategies: (1) Endorse big-C culture through celebration and preservation of select features. (2) Endorse big-C culture by learning from other managers. (3) Enrich small-c culture through cultural innovations. (4) Enrich small-c culture by empowering employees to innovate. FIG 18: Endorse and Enrich Your Way to Corporate Culture (Source: Harrison and Rogers) JOSH BERSIN - How to Actually Execute a 4-Day Workweek | DOUGLAS BROOM - Four-day work week trial in Spain leads to healthier workers, less pollution | BENJAMIN LAKER – How Far-Reaching Could the Four-Day Workweek Become? AVA MARTINEZ – A 3-Day Workweek Could Complicate The Future of Work Four articles on the four-day week, a concept that seems to be gathering momentum with pilots suggesting that business outcomes can be maintained while employee wellbeing and retention is enhanced. (1) Josh Bersinpresents findings from his study that finds companies need to undertake substantial work redesign to reduce hours while maintaining business outcomes to make the four-day week work. (2) Writing for the World Economic Forum, Douglas Broom shares results from a four-day work week pilot in Valencia, which found that giving workers an extra day off a week actually increases productivity, boosts physical and mental health and reduces CO2 emissions. (3) Benjamin Laker, who has been studying the four-day week for a number of years, outlines the findings from a UK study on the four-day week, which finds that 92% of the 61 companies that participated in the pilot are continuing with the four-day week. Laker also highlights that research conducted before and after the trial revealed that 39% of employees experienced lower stress levels and 71% noticed less burnout while working shorter weeks (see FIG 19). (4) From being one of the CEO outliers on return to the office, JP Morgan Chase CEO Jamie Dimon suggests that AI may precipitate a future of work where the working week is three days – as reported by Ava Martinez for The HR Digest. FIG 19: Source: The UK’s four-day week pilot (Autonomy) DIVERSITY, EQUITY, INCLUSION, AND BELONGING SERENA HUANG - DEI Funding Cuts? You Need Data Analytics and AI More Than Ever | BOGDAN YAMKOVENKO AND STEPHEN TAVARES - To Understand Whether Your Company Is Inclusive, Map How Your Employees Interact With many companies and institutions – particularly in the US – cutting back on their DEI programs, a recent edition of Serena H. Huang, Ph.D. From Data to Action newsletter is well timed. Serena explains how people data and analytics can help reverse this trend and highlights a number of helpful resources. One of the resources Serena highlights is a seminal article by Bogdan Yamkovenko, PhD and Stephen Tavares first published in Harvard Business Review in 2017. It provides a case study of a professional services firm that used organisational network analysis to identify that that women were largely shut out of its decision making, idea sharing, and emotional support networks (see FIG 20). For more from Serena, please tune into her recent conversation with me on the Digital HR Leaders podcast: How to Enhance Your Career in People Analytics. FIG 20: 3 ways to look at employee networks at one professional services firm (Source: Heidrick & Struggles) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from February that I recommend readers delve into: LOÏC MICHEL | 365TALENTS – Your Absolute How to Guide to Skills Management – A handy guide to skills management from Loïc Michel and the 365Talentsteam featuring guidance and case studies. ALICIA ROACH - Let's Talk About Lay-Offs – Alicia Roach of eQ8 frames the recent spate of layoffs from companies posting impressive profits in the context of culture and workforce planning (see FIG 21). As Alicia writes: “We can do better. We must do better.” FIG 21: Scenario modelling and external shocks (Source: Alicia Roach, eQ8) RICHARD ROSENOW - Embracing Remote Work for Senior People Analytics Roles: A Strategic Imperative – Richard Rosenow of One Model makes a persuasive case for why every organisation looking to lead in People Analytics should consider making their senior roles, if not all of their People Analytics roles, remote eligible. For more on people analytics jobs, check out this analysis of executive and director people analytics roles by Patrick Coolen. BLEDI TASKA - SkyHive Data Reveals Greater Gender Disparity in the Generative AI Sector Compared to the Tech Industry at Large – Bledi Taska, Ph.D. presents SkyHive data and key findings on the impact of Generative Al on the U.S. job market and economy. His analysis highlights the urgent need for reskilling and upskilling initiatives to mitigate inequality in the workforce. Thanks to Todd Raphael for highlighting. HAKKI OZDENOREN - Move Over HR, AI Is the New Recruiter! – Hakki Ozdenorenpresents data and analysis from Revelio Labs, which finds that HR job postings mentioning AI are surging ahead of other listings. This underscores the need for HR professionals to reskill in areas like AI and data literacy. Thanks to Ben Zweig for highlighting. FIG 22: AI related job postings in HR roles are on the rise (Source: Revelio Labs) MARC RAMOS - Learning & Development is the New Research & Development - How the Learning Function Can be the AI Accelerator Part 1 | Part 2 – Cornerstone OnDemand CLO Marc Steven Ramos presents his two-part series on the L&D function  investigating, testing and extending the use of AI within organisations – includes FIG 23 on blending R&D and L&D approaches. FIG 23: Complementing R&D and L&D approaches (Source: Marc Ramos) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): HEMERSON PAES, COLE NAPPER, AND SCOTT HINES - Active & Passive ONA Use Cases at Roche – Hemerson Paes joins hosts Cole Napperand Scott Hines, PhDon the Directionally Correct podcast to share his work rolling out active and passive ONA applications at scale at Roche. BOB SUTTON AND ADAM GRANT - How to become a “friction-fixer” – Leading management thinker and organisational psychologist at Stanford, Bob Sutton, joins Adam Grant on ReThinking to discuss his new book, The Friction Project, on how to diagnose and then fix workplace problems. Unmissable. JASON CORSELLO AND LAURIE RUETTIMANN - HR Technology 2024 – Jason Corsello from Acadian Ventures joins Laurie Ruettimannon Punk Rock HR to discuss the state of the HR tech market, the potential and concerns of AI, and the importance of future skills. ANDREW SAIDY AND CHRIS RAINEY - Why a Talent Marketplace is Win-Win for Employees and Organisations - Andrew Saidy joins Christopher Rainey of HR Leaders to discuss his work at Ubisoft, where skills are becoming the currency for hiring, mobility and promotions rather than solely relying on degrees or tenure. STEPHANIE DENINO, KIRAN MENON, AND DEBKANYA DHAR VYAVAHARKAR - Moving EX from boardroom to office floor - Stephanie Denino of TI PEOPLE speaks to hosts of the EXtra Extra podcast Kiran Menon and Debkanya Dhar Vyavaharkar about the findings of the State of EX report, and applying agile principles towards shipping EX ideas out of the boardroom and onto the office floor. VIDEO OF THE MONTH NAOMI VERGHESE, ALAN SUSI AND DAVID GREEN | INSIGHT222 - How Leading Companies shift People Analytics from Insight to Impact Please forgive the mild case of self-indulgence, but the ‘Video of the Month’ is actually a webinar we recently hosted at Insight222based on our People Analytics Trends research, which was informed by a survey of 271 participating companies. In the webinar, Naomi Vergheseand I walked through the findings from the Insight222 People Analytics Trends research, unveiling the distinctive characteristics of ABCD Teams that propel organisations to new heights. Naomi and I were joined by Alan Susi, VP and Global Head of Organisational Analytics and People Insights at S&P Global. Alan shared insights on how the firm successfully elevated their approach to people analytics, turning data into tangible business outcomes. You can access the webinar here – or by clicking the image below. BOOK OF THE MONTH JOHN WINSOR AND JIN H. PAIK – Open Talent: Leveraging the Global Workforce to Solve Your Biggest Challenges In Open Talent, John Winsor and Jin Paik advocate that companies need to shift to a more ‘distributed’ structure that revolves around talent (people) and projects in a networked organisation. In this model, talent is assembled from both inside the organisation (via an internal talent marketplace) and outside (via external talent clouds). The authors reveal how they implemented open talent strategies, and how other companies can adopt these techniques. A thoughtful and insightful read. RESEARCH REPORT OF THE MONTH SHELLEY XIN LI, FRANK NAGLE, AND ANER ZHOU - Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks An interesting paper by Shelley Xin Li, Frank Nagle, and Aner Zhou for the Harvard Business School Strategy Unit, which constructs and describes a comprehensive network for 7,715 publicly traded U.S. firms from 2004 to 2018, using data on over 9 million people with 2 billion connections from the professional social network LinkedIn. The key finding is that while employees do not necessarily make connections for the company’s benefit, the centrality of that company in the employee network positively predicts company value. Thanks to Nicolas BEHBAHANI for highlighting. FIG 24: Firm-level Network Centrality and Economic Performance for U.S. Public Firms in 2018 (Source: Li, Nagle, and Zhou, 2023) FROM MY DESK February saw the final two episodes of Series 36 of the Digital HR Leaders podcast, sponsored by ScreenCloud as well as the first episode of Series 37 sponsored by Culture Amp. Thank you respectively to Luke Farrugia of ScreenCloud and Ellisa Packer and Jodie Evans of Culture Amp. ERIC SIEGEL - How to Overcome AI Adoption Challenges in HR – Eric Siegel, the author of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, explains how to successfully deploy machine learning in organisations while remaining focused on outcomes, ethics, and improving decision making. BERNARD MARR - Achieving AI & Human Synergy in Data-Driven HR – Bernard Marr, who always has his finger on the pulse when it comes to new technologies, shares insights from his book, Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance, and how AI is already impacting HR, and how it will increasingly do so in the future. REBECCA THIELEN - Microsoft's Key to Strategic Workforce Planning Success – Rebecca Thielen shares insights from the workforce planning journey at Microsoft, including the role of analytics, close partnership with finance, and the clear focus on the problem statement. ANGELA LE MATHON, IAN COOK, AND DAVID GREEN - The Strategic Agenda for People Analytics in 2024 – I also hosted a webinar with Angela LE MATHON and Ian Cook, which was organised by Visier Inc. and People Analytics World, to discuss the agenda for people analytics in 2024. Topics discussed included the role of middle management in strategic decision-making, the impact of AI on people analytics, and the practical challenges and strategies for implementing AI and analytics within HR frameworks. THANK YOU Finally, this month I’d like to thank: Matt Manners and the team at Inspiring Workplaces for once again including me on their Top 101 Global Employee Engagement & Experience Influencers 2024, sponsored by Huler. Jennifer McClurefor including me in her list of recommendations for HR professionals looking to build a Personal Development Library. Amit Mohindrafor including Excellence in People Analytics as one of the course materials for his people analytics course at Stanford University Malgorzata (GOSIA) LANGLOIS for posting about the Microsoft case study contributed by Dawn Klinghoffer in Excellence in People Analytics. Stephen Hickey for including me in his list of go-to resources on people analytics. Dr. Divya Sainath for posting about our conversation at the recent Indeed Future Talent event in Bangalore. Thomas Kohler for including the January edition of Data Driven HR Monthly in his list of HR Resources. Teamflect for including the Digital Hr Leaders podcast at number six in its list of the top 20 HR podcasts. Ekta Vyas Ph.D for posting about my article, A History of People Analytics in Five Ages. Andrew Lafontaine for creating a post with highlights from the episode of the Digital HR Leaders podcast on How to Overcome AI Adoption Challenges in HR with Eric Siegel. Wendy Van Ierschot for including me in her post about her book, Scale Ups and Downs. DOWNLOAD THE LATEST INSIGHT222 PEOPLE ANALYTICS TRENDS RESEARCH We’ve recently released our fourth annual People Analytics Trends report at Insight222: Investing to Deliver Value: A new Model for People Analytics, which is now available to download via the link – or by clicking on the image below. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. SEE ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024: March 4-6 - Gloat Live! (New York) March 14-15 - Wharton People Analytics Conference (Philadelphia) April 24-25 - People Analytics World (London) May 7-9 - UNLEASH America (Las Vegas) September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program October 16-17 - UNLEASH World (Paris) More events will be added as they are confirmed.
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    2024年03月03日
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    推荐阅读：关于成为技能型组织的问题 https://talentstrategygroup.com/is-the-juice-worth-the-squeeze/ 本文深入探讨了基于技能的组织架构的概念，这一趋势由咨询和技术供应商所推广。报告从多个角度审视了将组织转型为基于技能的模式的必要性、优势以及所面临的挑战。通过对Deloitte、Korn Ferry、PwC、McKinsey和Accenture等知名咨询公司发布的报告进行批判性分析，本文揭示了在推进技能为中心的组织结构转型过程中存在的一系列问题和疑问。 首先，报告指出了对于“技能”定义的普遍缺乏共识，这种模糊不清的定义为组织实施基于技能的转型带来了困难。 其次，尽管咨询和技术公司对于基于技能的组织转型充满热情，但他们通常未能提供足够的证据来支持这一做法能够带来的具体好处，特别是在组织效率和员工满意度方面。 此外，报告还质疑了基于技能的转型对于组织结构、人员配置、培训、薪酬等方面的深远影响，指出这种大规模转型的成本和风险可能远远超过其潜在的好处。 同时，报告强调了现有简单有效的解决方案，如调整职位描述，以减少对大规模组织重组的需求。 通过提出17个关于基于技能组织的问题并给出回答，报告为读者提供了一个全面、客观的视角，帮助他们在面对每天涌现的关于可能帮助企业发展的产品和服务信息时，能够做出更为谨慎的选择。 总之，本报告建议在考虑向基于技能的组织转型之前，组织应更加深入地分析和评估这一做法的实际效益和潜在风险，确保决策基于充分的信息和理性的考量。在追求创新和改革的同时，保持对传统组织结构和管理方式的适当尊重和利用，可能是更为稳妥和高效的道路。 推荐给大家！    
    Talent Management
    2024年02月18日
  • Talent Management
    Experience and Insights in the Staffing Domain in Human Resources ShaukhiHashim是The RuMa酒店公寓的董事，有十余年的酒店招聘经验。他提出了几个招聘中的要点，包括人才招聘与企业整体战略的符合，候选人对企业文化的理解，工作环境多样性与包容性，入职流程与留住员工，数据运用与数据分析。对人力资源招聘有很大的参考作用。 For decades, the field of human resources （HR） has evolved to meet the ever-changing needs of businesses and organizations. One of the important functions of the human resources department is staffing. This involves identifying, attracting, selecting, and retaining employees to achieve organizational goals. Over the years, staffing has become increasingly complex, requiring HR professionals to develop insight and experience to effectively meet talent acquisition and management challenges. As a seasoned HR professional with over a decade of experience in staffing in hospitality, I have faced various challenges and gained important insights that have shaped my understanding of the complexities of HR management. One of the most important insights I have gained in the staffing domain is the importance of aligning talent acquisition with the organization`s overall business strategy. To be successful, HR professionals must have a deep understanding of the organization's goals and the specific skills and competencies needed to achieve those goals. This requires close collaboration with key stakeholders, including senior leadership, department heads, and hiring managers. By understanding the organization's strategic priorities, HR can ensure that the staffing efforts are aligned with the broader business goals, ultimately delivering a more impactful and purposeful workforce. Unlike other industries, hotels have different departments, each with unique roles and responsibilities. From housekeeping to reception to catering, each department requires different skills and qualifications. As HR professionals, it is important to have a clear understanding of these requirements to effectively recruit the right candidates and place them in the right positions. In addition to strategic alignment and effective communication, I have learned the value of understanding and driving the organization's culture throughout the hiring process. Culture fit is a critical factor in the long-term success of new hires, and HR professionals must be able to identify and assess candidates who will thrive within the organization's unique work environment. This requires a strong understanding of the organization's values, rules, and expectations, as well as the role of accurately assessing a candidate's cultural alignment throughout the hiring process. This involvement enables tighter demand forecasting and staffing performance, which ultimately leads to greater staff satisfaction and better guest service. Another important insight I have gained in the staffing domain is the significance of diversity and inclusion in the hiring process. In today's globalized world, organizations must recognize the value of a diverse workforce and its benefits. Diversity in terms of gender, race, ethnicity, age, and background can drive innovation, creativity, and adaptability in the workplace. As an HR professional, it is crucial to ensure that the staffing efforts are inclusive and promote equal opportunities for all candidates. This involves implementing fair and unbiased selection processes, addressing unconscious bias, and actively seeking out diverse talent pools. Once the right candidates are selected, the onboarding process plays a crucial role in their retention and success within the organization. Providing new employees with a comprehensive orientation program that familiarizes them with the company's culture, policies, and expectations sets them up for success from day one. Ongoing support and development opportunities should also be provided to ensure continuous growth and engagement. Throughout my experience in the staffing domain, I have also realized the importance of data and analytics in HR management. Tracking and analyzing key metrics, such as time-to-fill, cost-per-hire, and retention rates, can provide valuable insights into the effectiveness of the staffing process. By leveraging data, HR professionals can identify areas for improvement, optimize recruitment strategies, and make data-driven decisions to enhance overall staffing performance. The staffing domain in HR management is a complex and evolving field that requires HR professionals to have insight and experience to effectively attract, select, and retain talent. Aligning staffing efforts with the organization's business strategy, recognizing the importance of culture fit and diversity, implementing efficient recruitment and selection processes, providing comprehensive onboarding, and leveraging data and analytics are key aspects to consider navigating the challenges and ensure successful staffing outcomes. SOURCE ManageHR
    Talent Management
    2024年01月22日
    • 12
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