Josh Bersin：2018年人力资源技术：比以往更加智能化 HR Technology for 2018 - More Intelligent than Ever
几乎每一位与我交谈的人力资源供应商都声称拥有基于人工智能（AI）的解决方案，预测分析，聊天机器人或其他形式的算法解决方案，以使HR更好。
正如我所了解的所有这些产品，并开始看到他们的行动，让我给你什么寻找提示。
在招聘市场上，数据确实在推动我们的未来。由于社交网络的无处不在以及数十种智能采购和评估工具，我们的研究表明，人工智能正在创造巨大的价值。在您寻找新的招聘工具（采购，候选人评估，智能聊天机器人和移动招聘平台）时，请供应商向您展示其AI如何工作。询问如何作出决定，以及它可能适用于您的例子。这些供应商远远领先于学习曲线，价值将变得清晰。
在面试管理中，也越来愈多的工具开始提供候选人与面试官的协调沟通，自助服务等，比如优面宝，通过自动化的协调沟通机制安排好候选人的面试时间等。
在学习和发展市场上，现在很多学习管理系统（LMS）平台，学习体验平台和微型学习平台都使用人工智能和算法解决方案来推荐内容，策划内容，并通过最合适的内容来指导学习者学习。这些供应商中的许多都有丰富的经验分析通过内容的最佳路径，正确的时间来查看下一个内容，甚至正确的学习模块来查看您的信心，你的理解的主题。学习活动数据现在可以通过体验API或xAPI（一种记录和跟踪学习过程中点击的所有内容的方式）获得，因此所有这些供应商都变得“聪明”。
在员工敬业度和调查市场，同样的AI波即将到来。一系列供应商的产品开始作为参与和脉搏调查工具，现在提供文本分析，情感分析，词云和员工情绪的智能评估。他们中的一些人可以测量信任网络，并使用组织网络分析来识别网络中的可信任人员，甚至指出可能存在欺诈或不良行为的领域。虽然这些软件都不是完美的，但它比单独阅读每条评论要好，可以让管理者更好地了解他们如何与同行进行对比。
在绩效管理市场中，持续绩效管理软件现在通过查看您在工作中获得的反馈模式，提供活动流，公共和私人评论以及组织网络分析。到时候，这些平台会向管理人员推荐学习和辅导，有些已经这样做了。
在员工自助服务和案例管理方面，平台也变得更加智能。您现在不仅可以在线（或通过您的消息系统）与您的员工系统进行聊天，还可以发送消息（“星期五预订我的休假日”），系统将执行交易。很快，它会向你推荐什么课程，如何放慢和放松以及其他员工福利。
我可以继续下去。市场上大多数人力资源工具都包含“人工智能”和“智能”这两个词，越来越多的人开始工作。
虽然这一切都是积极的，而且肯定会让我们的工作更轻松，但是让我也给你一个警告：AI不是魔法; 它只是高度精炼的统计和数学模型，试图根据大量数据预测和推荐行动。如果你没有足够的数据，AI可能没有那么有用。所以听起来很令人兴奋，我建议你让供应商给你一个真实世界的演示，并尽可能多的参考。
在我看来，AI，预测分析，情感分析，视觉识别和自然语言界面的成熟速度比我们预期的要快得多。所有这些都将影响我们的人力资源技术。只要确保你买的东西确实符合你的需求，并且你所实施的“智能”在你的组织需要的领域是聪明的。
Josh Bersin是德勤咨询（Deloitte Consulting LLP）Bersin™的负责人和创始人。本文件中使用的“Deloitte”是Deloitte LLP的子公司Deloitte Consulting LLP。请参阅www.deloitte.com/us/about，了解我们法律结构的详细说明。根据公共会计规则和条例，某些服务可能无法向证明客户提供。
以上由AI翻译，下面是英文原文：
Almost every HR vendor I talk with claims to have artificial intelligence (AI)-based solutions, predictive analytics, chatbots or some other form of algorithmic solution to make HR better. As I've learned about all these products and started to see them in action, let me give you tips on what to look for.
In the recruitment market, data is really driving our future. Thanks to the ubiquitous nature of social networks and dozens of intelligent sourcing and assessment tools, our research shows, AI is creating significant value. As you search for new recruiting tools (sourcing, candidate assessment, intelligent chatbots and mobile recruiting platforms), ask the vendor to show you how its AI works. Ask to see how decisions are made and for examples of where it might apply to you. These vendors are well ahead of the learning curve, and the value will become clear to you.
In the learning and development market, many learning management system (LMS) platforms, learning experience platforms, and micro-learning platforms now use AI and an algorithmic solution to recommend content, curate content and guide learners through the most appropriate content to learn. Many of these vendors have extensive experience analyzing the best path through content, the right time to view the next content and even the right learning module to view based on your confidence in your understanding of the subject matter. Learning activity data is now available through the Experience API, or xAPI (a way to record and track everything you click on while learning), so all these vendors are becoming "intelligent."
In the employee engagement and survey market, the same AI wave is coming. A flurry of vendors whose products started as engagement and pulse survey tools now provide text analytics, sentiment analysis, word clouds and intelligent assessment of employee sentiment. Several of them can measure trust networks and use organizational network analysis to identify trusted people in your network and even point out areas of potential fraud or bad behavior. While none of this software is perfect, it's better than trying to read every comment individually and can certainly give managers a better idea of how they stack up against their peers.
In the performance management market, software for continuous performance management now provides activity streams, public and private comments, and organizational network analysis by looking at the patterns of feedback you get on the job. In time, these platforms will recommend learning and coaching to managers, and some do this already.
In the area of employee self-service and case management, the platforms are also getting smarter. Not only can you now chat with your employee system online (or through your messaging system), you can send it messages ("Book my vacation day on Friday") and the system will perform a transaction. Soon, it will actually make recommendations to you on what courses to take, how to slow down and relax, and other employee benefits.
I could go on and on. It feels like the words "AI" and "intelligent" have been included on most HR tools in the market, and more and more of this is starting to work.
While all this is positive and definitely making our work lives easier, let me also give you a warning: AI is not magic; it is simply highly refined statistics and mathematical models that try to predict and recommend action based on a mass amount of data. If you don't have enough data, the AI may not be as useful. So as exciting as it sounds, I recommend you ask the vendor to give you a real-world demo and talk with as many references as you can.
There's no question in my mind that AI, predictive analytics, sentiment analytics, visual recognition and natural language interfaces are maturing far faster than we expected. All of this will impact our HR technologies. Just make sure that whatever you buy really fits your needs and that the "intelligence" you implement is intelligent in the areas of need for your organization.
Josh Bersin is principal and founder, Bersin™, Deloitte Consulting LLP. As used in this document, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of our legal structure. Certain services may not be available to attest clients under the rules and regulations of public accounting.
Josh Bersin
2018年02月11日
Josh Bersin
深度文章:工作的未来-未来已至，却没有想象中那么吓人编者注：本文作者是Josh Bersin 是Bersin公司的创始人，对美国乃至全球的人力资源数字化，科技化有着极其深入的研究和了解。他近年来重点关注了工作的未来，这篇是他关于工作的未来的思考。推荐给大家。
工作的未来：为什么现在提出？
“工作的未来”这个词已经成为一个流行词。我在谷歌中搜索该短语发现竟然有四千八百万点击量！突然有数百个关于这个话题的会议，书籍和文章，涵盖了从人工智能到机器人到收入不平等和临时工等方面。人们感兴趣的原因很简单：我们正处在一个行业快速变革的经济周期中。事实上，我敢断言，未来抵达某一个阶段时现在熟知的一些工作将消失。下列是一些我们正在经历的变化：
今天，伴随就业市场极度透明，我们经常换工作。美国婴儿潮一代出生的人（1946年至1964年）在职业生涯中平均更换11.7次工作。而千禧一代每两年更换一次工作。
我们当中的许多人都采取灵活的工作形式。现在在美国有将近 40％的员工是特遣员工 ，而Uber，TaskRabbit等平台使的灵活用工比以往更容易。
随着人工智能，传感器和机器人成为主流，技术正以前所未有的速度使工作更加自动化。 今年中国采用了16万台机器人代替人工。又例如，每周我读的关于无人驾驶汽车和卡车可能失业的文章 。
组织结构受到冲击，这将改变企业中工作的本质。 92％的首席人力资源执行官和首席执行官告诉我们，他们认为公司的结构必须改变，而且大多数都在考虑如何使层级扁平化，使工作更具活力，并进一步利用临时和合同工。
收入不平等不仅是政治辩论的一个重要话题，业已成为一个根本的社会问题。政策制定者如何鼓励企业根据自动化，临时工和企业架构重组同时又可以提供高薪的工作和福利？
转变的本质是一个简单却非常大的想法：“工作”概念本身，以及所相应产生的概念，如职位，级别和工作描述等正在开始消失。取而代之的是什么？人们被雇佣去做“工作”，完成一个项目，领导一个团队，并随时准备着与业务需求的变化保持同步。
接下来让我把“未来工作”分成三个简单的部分来一一阐述：
首先是对个人的影响：我们为什么工作，工作如何融入我们的生活，我们的职业生涯如何进展，我们如何在技能和能力方面保持与时俱进，以及工作如何给我们带来意义和目的。
其次是对组织的影响：工作的内容是什么，人与机器扮演什么角色，组织如何设置，如何利用临时工，以及公司如何重新定义工作随着软件和机器人不断变的更加强大。
第三，对社会影响：提供什么形式的教育使人们为未来的工作做准备，如何在工作变动时应该如何应对和过渡，如何支持最低工资政策，移民和工作标准，以及如何解决像收入不平等这样的经济问题和失业问题。
今天所有这些问题仍处于辩论之中，希望未来有机会逐个讨论。
未来工作对个人的影响
在个人方面，工作变得弹性，颠覆性和压倒性。由于我们在工作（和家中）的信息和技术的无情攻击，2/3的组织告诉我们他们的员工有点不知所措。今天人们每天看他们的手机80亿次，根据微软的研究人们的注意力区间比金鱼时间更短，而且没有足够的休假时间。（美国的平均假期从1998年的20.3天下降到16.2天）。更糟糕的是，通过Twitter，Skype，Snapchat，WhatsApp，Slack，Facebook，Gmail和Outlook这些似乎有无数的方式可以联系到我们。“工作”和“生活”之间的隔阂已经消失，我们都沉迷于噪音。（谷歌搜索发现85,000条关于“电话瘾”的文章）为应对这一挑战，出现了大量的图书，视频，课程和网站行业都致力于帮助我们管理的生活。现在有工具来帮助我们放松和专注，帮助改善睡眠的计划，跟踪运动的监视器，以及关于运动，营养和超级食物的无数文章。心理学，神经科学，人类表现和瑜伽已经走到一起，我们都变得“量化”了。
虽然这一切对我们个人来说都很难，但更大的问题是我们的生产力不能提高。今天特定的技术浪潮（自iPhone诞生以来）已经提供了任何技术时代的最低生产力提升。（这包括室内管道，电力，汽车和大型计算机的发明）。所以工作并没有变得“容易”。经济学家对此非常担忧（请阅读 Robert Gordon的“美国经济的兴衰” ），因为生产力下降会降低收入增长，经济增长和生活水平的长期提高。
为什么生产力差距？许多经济学家认为，我们衡量生产力的方式已经过时了，但我认为它很清楚。我们真的没有更多的生产力，只是觉得是。我们生活在一个不断产生信息容易分心的世界，同时一直寻找更多的分享方式。当新的消息到来时，我们都遭受FOMO（害怕错过）的困扰。销售这些工具的公司在“用户参与”上赚钱，所以他们已经建立了相当先进的游戏机制。想想手机信息提示的红点：你真的可以阻止你点击它吗？
职业的变化
不仅工作变得更有活力和碾压性，我们管理职业的方式也发生了变化。正如我在《“黑“社会：组织应该做什么 》中所写，我们不得不接受这样一个事实：我们的事业不再“上升”，不能依靠一家公司终身照顾我们。理解这种转变的一个简单方法就是思考《生命的三个箱子》一书的作者迪克·鲍尔斯（Dick Bowles）所创造的形象。现在不像过去，不再按照学习工作然后退休的顺序，而是学习工作享受人生的结合过程，希望这个过程持续到晚年。
未来工作的组织方面
在组织方面，有两件事情正在发生。首先，工作正迅速改变，因为人工智能接管了越来越多的任务。正如我们熟悉的Siri或Cortana，相同类型的软件现在能够翻译照片，传感器信息和数据。保险公司现在有软件可以查看凹陷车的图片，识别汽车的品牌和型号，并计算索赔金额。软件可以读取X射线，判断准确率几乎两倍于经验丰富的放射科医生，而语音识别输入速度比人快300％。自然语言处理，推理和自学等技术正在成熟。Amazon Echo，Apple的Siri，Microsoft的Cortana，IBM的Watson以及Viv Lab的Viv可以理解命令，执行任务和学习。想想呼叫中心会发生什么。当您打电话更改预订或更改订单时，代理商必须查看您的账户，找到您的账户并找到您的交易。现在可以通过语音识别和人工智能来完成大部分工作。如果代理商必须键入到终端中，则可以通过称为RPA（机器人过程自动化）的软件来自动进行打字，该软件监视击键并自动开发机器人软件。这个市场正在加速的原因之一是传感器已经变得比以往更便宜（比我们的眼睛看得更好的传感器现在成本低于2,000美元）。我们携带的智能手机通常有6个嵌入式传感器（温度，GPS，加速计，湿度，环境声，磁力计等）。这些传感器使移动设备能够做我们从未想过电脑可以做的事情，Pokemon Go只是一个开始。不久，我们将会有设备可以听到声音，了解当下到压力水平，监视心跳，同时给出建议关于如何更好的开展会议，工作和客户互动。改进工作和提高生产力的机会是巨大的。我在演讲中提到的一个例子就是农场科技：无人机，人工智能和传感器应用于农业。John Deere等公司的机器使用照相机和传感器精确耕田，在正确的地方种植幼苗，并放置足够的水以保持每个植物的湿润。他们可以“看到”杂草，挑选并添加足够的肥料，查看植物的颜色，判断何时收获。这项技术现在已经可以使用，而且它已经提高了农场生产力
组织自身的重新设计
第二个组织问题是组织架构的重设。今天的工作组织基于“生产资料”的世界，我们的“工作”本质上是由人力资源和企业管理人员设计的。我们阅读“职位描述”，“申请工作”，并进行“适合性评估”。经理或人力资源部门审视技能和能力，并决定是否可以适应组织并做好这项工作。组织存在的原因是要利用这个高效率的工业模式 - 作为职业人，我们可以高效地从事重复性工作，公司可以从规模经济中获益。今天这个经济模式受到打击。我们的研究表明， 92％的公司认为他们的组织设计不起作用，但只有14％知道如何解决这个问题。我们的答案是首先赋能小团队使员工团结一致，然后将这些团队联系起来，构建组织文化使人们保持团结一致，使人们创新，交付，和在第一线服务客户。当我们处在这场大规模革命的早期阶段时，其最大的影响之一就是工作性质本身。通用电气，思科，德勤，以及AirBnB，Uber等众多颠覆性公司正朝着这个方向发展。加里•哈默尔（Gary Hamel）和米歇尔•扎尼尼（Michele Zanini） 认为，仅仅在美国省去不必要的“中层管理人员”每年就能节省3万亿美元。虽然我不能保证这个数字，但显然组织结构正在发生变化，技术的进步减少了企业对传统管理者角色的需求。这对我们个人来说意味着我们的“职位”和“职位”已经不再那么重要了。重要的是“你知道该怎么做”以及你的个人和专业声誉。也意味着我们都必须学习如何不断重振自我，销售和定位我们的技能和经验，并且乐于接受新的工作和新的角色。
工作会消失吗？
关于未来工作的最普遍的标题是工作正在消失。牛津大学撰写了一份广为人知的报告，其中47％的职位将在未来20年“消失”。那么我当然希望如此！我很喜欢收费员，清道夫，垃圾人，甚至公交车司机的工作。这不是一件坏事：研究表明，对于每一个“消失”的工作来说，都会有一两个新工种产生。我不是在谈论计算机编程所需的少量工作（甚至软件工程师将很快实现自动化），我们看到的每一个例子都表明，当“自动化”到来的同时也创造了新的工作。正如麻省理工学院着名教授戴维·奥特（David Autor） 所言：“就业与人口比例在20世纪上升。研究表明在过去的140年里，技术一直是”出色的就业制造机器“。德勤英国公司总经理Ron Hancock表示：“我们应该使工作自动化，人性化。让我们把世俗的机器和目的交给人们。“（德勤研究” 在机器时代工作的基本技能 “）我举两个例子。在二十世纪八十年代，从ATM机开始，银行业出现了一波自动化浪潮。当时的文章预测了银行分行，分行出纳员由于金融服务业自动化将导致就业的消失。事实上正好相反：如今，全世界有超过100万台ATM机，几乎是银行分行的四倍，比八十年代增加了10％以上。自动化使金融交易市场极大扩展。今天的柜员做更高层次的事情（销售以及处理复杂的交易）。我们大多数人去ATM然后走进银行。第二个例子：1981年第一张电子表格被发明出来（最初的Multiplan，后来导致了Lotus 1-2-3，最终导致了Excel）。而华尔街的金融分析师们一直创建基于纸张的电子表格用于财务分析。他们消失了吗？当然不是，情况恰恰相反：今天有更多的财务分析师（包括我们也适用电子表格），其中最优秀饿就是最擅长使用Excel等工具的专家，因此创造了一个更强大的分析师新行业。正如我对德勤一位合伙人所说的那样，你是否担心你的吸尘器将要拿到你的工作？我真的希望吸尘器可以变得更智能，当然也更安静。所以这个问题的答案是NO。工作不会消失而只是在改变。
关于这个话题的最后一点。许多人的技能是必不可少的 。德勤英国的研究调查了数百份工作概况，并将其与牛津大学的研究进行了对照，确定了25项关键的“人才技能”。随着技术的发展，这些技能将变得越来越重要。这些是本质上是人的技能，它们为将来重新设计工作和职业提供了一个指导方针。
下图：基本的人类技能
从列表中可以看出，同理心，倾听，交流和优先排序等技能本质上是人的技能。所以工作的未来不是关于工作的消失，而是关于每个人如何重新定义工作和更好地利用工具。
未来人们和职业将会如何？
未来组织，个人和社会都将变化。我们和组织如何适应呢？在个人层面上，我们每个人都必须学习新的工具。1981年当个人电脑出现在“速记池”时，打字员面临失业的风险。但这些人学会了使用电脑，后来成为秘书、行政助理、作家。我自1978年就开始工作，当时没有语音信箱，电脑，或电子邮件。但是我学会了这些现代化工具，现在我和我的孩子一样轻易使用Snapchat和Instagram这样的应用程序。害怕科技的人会落后，所以我们都要强迫自己学习。如果你是一名人力资源专业人士或商业领袖，你也必须学习技术 - 因为它会影响组织工作的方式。
在组织层面上，成功的关键就是我们现在所谓的设计思维。组织需要了解哪些技术可以做，然后用它来增强客户和员工的体验。让我举几个例子：星巴克或Peets可以选择在其商店安装机器人咖啡机，然而并没有。因为客户体验的重点是可以与咖啡师的进行对话，咖啡的味道和气味，杯子上手写的个人称谓。因此这些公司不断提高咖啡师的工作，稳步提高工资和福利，改善客户体验。Wegman曾被评为美国最好的工作场所之一，他们教导员工放下手机，直接和客户谈话。举行“无电话”会议，构建了使用技术构建后台任务而不是打断客户体验的公司文化。每个公司都有机会重新思考自己的客户和员工的经验，并运用技术使其更好。在某些情况下，这意味着要换工作，但在大多数情况下，这也意味着要使工作“更好”，降低成本和平凡的工作，并增加客户互动的价值。
组织中最大的挑战之一是创造一个更有活力的职业模式。公司现在主要关注内部人才流动性，自主学习以及新的软件工具，以帮助人们找到下一份工作。例如，思科，百胜品牌，Wegman和WL戈尔等公司已经重新定义了他们的管理原则，积极地让员工从一个工作岗位，一个角色转到另一个岗位。事实证明，现代和有活力的职业生涯环境是成功雇主品牌的因素之一。我们的研究成员最近通过Deloitte WhatWorks奖授予了“万宝盛华”（Marriott a Bersin）奖，旨在吸引年轻人进入动态，便利的管理职业。
教育和公共政策必须跟上
许多人认为教育机构没有跟上对社会对稳定技能的需求。我相信，教育在基础技能（思考，写作，分析，数学，科学）的发展中仍然起着至关重要的作用，并且在新教育产业（Pluralsight，大会，EdX和其他数百人）我们迅速学习新的工作技能。公共政策起着很大的作用。很明显，关于收入不平等和派遣工作平台的影响也正在广泛的讨论中。虽然现在更容易找到临时工，但这些工作大部分没有收益，没有休假政策，没有加班，几乎没有与工作有关的费用报销。许多政策制定者正在争取自筹资金的“安全账户”和新的第三类工人为日益增长的临时工提供公平的工资和福利。其他人现在主张“ 共享安全账户 ”，这样人们在更换工作角色和公司时仍可以投入到自己的职业生涯中。经济学家甚至对“ 保证基本收入 ”作为振兴创新和职业再创新的激励机制进行辩论。鉴于有必要加速个人创新和不断重振经济，这些想法都值得考虑。
个人职业
我最近有机会与加里·博莱斯（Gary Bolles）沟通，其父亲的著作《你的降落伞是什么颜色》是关于如何找工作的最好的书籍之一。加里和我一致认为，在今天的“未来工作”中建立的最重要的技能就是“个人改造”的能力 - 放弃今天的自我，根据工作的变化不断自我重新定位。这是一个紧迫的话题。劳工统计局认为美国人在他们有生之年将有12-14份的职业，所以我们必须放弃“你＝工作”的想法。如果您想通过名片上的标题来定义自我价值和个人身份，可能会感到失望。我已经有了超过38年的职业生涯，并曾在技术支持，销售，客户管理，市场营销，产品管理，项目管理，业务发展，工程和行政领导方面工作过。也曾在五个不同的行业工作过，从一个“实习生”到一个CEO和创始人一路扶持。现在我不再以自己的头衔来定义自己，只是简单地告诉人们“我做什么”。我的朋友即将退休。其中一位曾作为商业经理曾走遍世界，他对我说：“记得你年轻的时候，那个坐在隔间里指导他人工作和就职的人吗？现在我也在做。”他仍然热爱工作却贡献了另一种方式，就是帮助其他年轻人获得成功。这个故事还有很多，我来简单总结下：“未来的工作”就在眼前改变，若不时时警惕注意很有可能错过。
花一些时间学习一两个新的工具；参加所在领域的专业会议；花时间与同行交流。每一个人都为未来的工作做准备，且这不会像你想象的那么可怕。
Josh Bersin is Founder and Principal at Bersin by Deloitte, leading provider of research-based membership programs in human resources (HR), talent and learning. I am a global research analyst, public speaker, and writer on the topics of corporate human resources, talent management, recruiting, leadership, technology, and the intersection between work and life.
2017年9大你不得不看的人力资源科技趋势
引言：人力资源科技正在经历十年来最动荡的时期，从云端到移动端的转变，人工智能的大爆发，现在的一切都在改变，自然传统人力资源也已经过时。随着时代的发展和人力资源行业的重塑，作为HR的领航者你需要以下9大人力资源科技趋势来领航。
HR technology is undergoing one of the most disruptive periods it has seen in a decade. Investors, seeking the next big thing in breakthrough technology, plunged more than $2 billion into HR tech systems and platforms in 2016, according to CB Insights, a venture capital database. While investment to date is on track for a slight decline from last year, deal activity in HR tech has grown consistently in the last 5 years and at the current rate is expected to increase more than 15 percent over 2015. This amazing investment growth—much of it spent on integrated human resource management system (HRMS) platforms for midsize companies—illustrates the industry’s volatility.
That instability is being driven by the shift from cloud to mobile; the explosion in analytics and artificial intelligence; and the emergence of video, social recruiting and wearables in the workplace. Everything is changing, and quickly—including the types of technology HR professionals use, the experiences those systems deliver and the underlying software designs—making many of the traditional HR systems purchased only a decade ago seem out of date.
With these developments and more reshaping HR, business leaders would be wise to understand the following nine technology trends that will shape the year ahead and beyond.
1. The Performance Management Revolution
For almost five years, companies have been throwing away ratings, adding check-ins, developing agile goal systems, and making performance management much more data-driven and team-oriented. But there have been almost no tools in the market to automate this—until now. Today, there are at least a dozen companies selling cloud-based, team-centric performance management applications that connect to HR management or enterprise resource planning systems, many of which:
Manage performance by team, rather than only by hierarchy.
Allow for dynamic team management—that is, the ability to create and change teams quickly.
Make goals transparent and easy to change and track.
Feature check-in mechanisms.
Have built-in pulse surveys, end-of-period surveys, and ad hoc feedback presented via tags and word clouds.
Incorporate development plans that are prepopulated, simple to build and based on data derived from employees in similar roles.
Feature online assessments, help conducting personality assessments and resources to guide managers through difficult conversations.
Can be used with activity streams and other gamification features that make them engaging and browsable.
Are integrated with employee directories and other HR tools to become part of everyday work.
2. An Explosion in Real-Time Engagement Evaluation
Customer and marketing teams have been developing innovative ways to measure customer input for decades. Today, companies are starting to do the same with their employees by making use of always-on, pulse-based feedback systems. Some employers now survey workers quarterly, monthly or even weekly, and many modern systems enable event-based feedback that can be gathered whenever there is a major organizational change.
Not only are these tools becoming critical infrastructure for businesses trying to understand their employees’ needs, they are being integrated with performance management systems, succession planning initiatives, change management strategies and just about every other people practice.
Indeed, feedback-based tools and systems will become a major theme in HR platforms in the coming years.
3. The Rise of People Analytics
I can’t talk about disruptive technology without discussing the enormous strides that have taken place in the field of people analytics. Over the years that I’ve researched this market, organizations have moved from back-office HR data warehouses to advanced analytics and reporting dashboards to predictive models and more.
As analytics models become more prevalent, companies are slowly moving away from building their own solutions to buying them from vendors. Oracle, SAP SuccessFactors, Workday, ADP, Cornerstone, Visier and Ultimate Software all have employee retention predictors (among many other modeling features) embedded in their software. Workday’s system can identify employee job changes that are likely to result in high-performance outcomes (as well as what job moves not to make). The products from Oracle and SuccessFactors can recommend which training employees should have based on their roles and activities at work, and Workday will soon have this functionality as well. Cornerstone’s system can predict which workers are likely to become noncompliant or lapse in their mandatory training and certification. As these embedded models continue to mature, HR departments will need to hire teams that understand them and can apply them effectively.
New approaches for applying feedback and models of performance management have also emerged. One vendor, Starling Trust, offers a system that can analyze patterns of e-mail and other communication to build "trust networks"; it can actually predict where a security leak or fraud is likely to occur. Another company, Humanyze, sells smart badges that monitor workers’ locations and voice tenor to gauge when and where they experience the most stress. This data can be used to help companies reorganize facilities, change meeting times and formats, and drive engagement.
A third recently-acquired vendor also provides tools that analyze e-mails to assess how people’s communications and time management practices differ. The platform can determine, for example, that high-performing salespeople spend more time than their lower-performing peers with certain groups and customers—and that data can be used to nudge others to change their behavior.
It’s time to double down on your investment in analytics. My friends at big companies tell me that it takes a few years—and often a big budget—to clean up HR data, bring it into a consolidated environment and hire an analytics team to start doing the work. Organizations that don’t make this investment are likely to be disrupted by competitors that do.
4. Maturation of the Learning Market
While most big companies have legacy learning management systems (Cornerstone, SumTotal, Saba, Oracle and SuccessFactors, for example), there are many new options available. Products are being reinvented by vendors issuing major new releases. New solutions like Workday Learning, Fuse Universal, SAP Jam and other tools focus on scaling video learning to the enterprise.
There is another category of learning products coming that I call "learning experience platforms." They focus on delivering a "learning platform" and not just a "learning management platform." In other words, they are places to go to browse and learn, and not merely to register for courses.
These new platforms bring YouTube-like video experiences to employees and include features for curation, recommended learning and data-driven recommendations. I predict that this new category of software will become huge as every major company realizes it needs these systems as a complement (or, someday, replacement) for its core learning system. Vendors include Degreed, Pathgather, EdCast, Everwise, LinkedIn Learning and others.
5. A New Landscape for Talent Acquisition
Today’s recruitment and talent acquisition market is enormous—an estimated $240 billion in the United States alone based on research by Bersin by Deloitte. This massive market focuses on tools to help companies:
Find strong job candidates.
Market and brand themselves.
Post and distribute job postings.
Manage and interact with job boards.
Conduct prehire skills assessments.
Perform background screening and psychological testing.
Interview candidates.
Manage the entire complex process from end to end via applicant tracking and recruitment management systems.
These tools are highly strategic for many businesses. Fast-growing technology companies, for example, can make or break their business plans based on how quickly they can find the right engineers, marketing professionals and salespeople. Retailers and seasonal manufacturers need to hire hundreds to thousands of people at critical times during the year, so it is key that they be able to find workers as quickly and effectively as possible at scale.
Today, a new breed of platforms, including those from vendors such as SmartRecruiters, Lever, Greenhouse, Gild and others, have started from scratch, building end-to-end recruitment management systems that handle everything, including sourcing, ad management, analytics, online interviewing, interview management, candidate scoring, ongoing candidate relationship management and onboarding. These tools were designed to directly connect to LinkedIn and other job boards, and they can store candidates’ information so that it can be revisited year after year. In addition to managing applicants, they keep track of candidates and even alumni. Further, they focus on building tools that are easy to use for hiring managers and candidates, and not just recruiters and HR.
6. The Growth of Contingent Workforce Management
Roughly 40 percent of workers in the United States are contingent in some fashion, according to government sources, and many of them look for jobs on special networks. Employers use those same channels to post jobs and find people with specialized skills.
There are two emerging markets that support this new way of working. The first is contingent workforce management systems, such as Fieldglass from SAP, Kronos, Beeline, PeopleFluent, Workday and many others. This sector, which includes software for vendor management, as well as time-tracking and scheduling systems, is highly fragmented with only a few leaders.
The second market is the gig-work networks that match workers to projects. There are dozens of such solutions, including Upwork, Freelancer, Fiverr, Workpop and many others. These platforms have morphed from job networks to recruiting and skills-management sites. Companies such as GitHub (for software engineers), Pixelapse (a collaboration platform for designers) and others are building similar tools for technical domains.
HR professionals interested in exploring new options for finding contingent talent should start by monitoring these affinity sites to build a network of experts for contract work.
7. The Adoption of Team Management Tools
A wide variety of software tools have been designed to facilitate collaboration by making it easier for teams to track their work with features such as real-time messaging, archiving and search. These include Slack, Workboard, Trello, Asana, Wrike, BetterWorks, 15Five, Basecamp, Rallyteam and others. While not all of these applications would be categorized as HR technology tools, most are starting to enter the HR space. (BetterWorks, for instance, is actually an enterprise-class goal management platform.)
The biggest trend taking place in this sector is thesteady shift away from solutions used strictly by HRto those that help employees and managers do their jobs. For example, Workday’s new learning management system and talent management system are designed to enable employees to find their next position in their company, and to then locate and view training and video learning appropriate for that job. There is also a shift toward integrating this type of functionality with Outlook or the workflow management tools employees use every day (such as Slack or Asana).
8. A Wealth of Wellness Apps
The next major area of disruption we can expect in 2017 is the accelerated growth oftools to manage wellness, work/life balance, employee activity and—ultimately—personal performance.
Over the next year, applications for wellness, engagement, recognition and performance management could converge as each of these areas collects information on employee feedback, activity and goals and tries to improve the work environment.
Here’s how this data could come together in the next few years: Core platform providers (such as Oracle, SAP SuccessFactors, Workday, Ultimate Software or others) have built-in analytics engines that correlate data from many sources into a global employee database. These new tools inform the company about what people are doing, how happy they are and how well they are taking care of themselves. Soon we could have a truly integrated view of employee wellness and be able to give workers insights, nudges and advice on ways to make work better, improve productivity and advance their careers.
9. Accelerated Automated HR
HR technology is making bold advances into artificial intelligence, natural language processing and robotic process automation. This huge area covers products that can listen to our voices (such as Amazon Echo, Siri and Viv), augment call center work and connect many systems into a new workflow.
The result of these technologies, including software development tools for mobile devices, is that most HR transactions can be redesigned, not as a series of transactions that people need to perform but as "journey maps" that automate:
The entire employee joining process, not just hiring. That process may include prehire assessment; interviewing; onboarding; new-hire orientation; and the first six months of training, meeting people and learning. One of Deloitte’s clients now gives all candidates an app that helps them apply for a job, accept a position and learn their role, all as part of an integrated experience.
Processes for employee career and job transitions, including assessment, internal job search, job recommendations, interviews, job offers and acceptances, employee moves, level or compensation changes, and orientation and onboarding.
Exploration of retirement options, decisions about retirement plans, exit processes, joining the alumni network, and creating an ongoing relationship between the company and the employee after his or her departure.
Assessment of an employee’s potential, including modules for leadership development, education, networking and coaching, as well as ongoing performance management practices for new supervisors.
Artificial intelligence tools, robotic process automation and self-service transaction integration can facilitate a total redesign of the employee experience, dramatically reducing costs and improving the value of HR.
IBM, for example, now has an artificial intelligence application that helps employees do their own onboarding, finds nearby employees as mentors, and addresses the top 200 questions employees ask in any new position. The entire experience is driven by a natural language bot and has proven successful in driving employee engagement.
Almost every HR tech market will face disruption in 2017. The convergence of mobile computing, video, sensors and artificial intelligence is taking place simultaneously with an intense focus on employee engagement, culture, wellness and productivity. The result will be a new breed of products that will totally reinvent what HR technology—and HR itself—can do.
Josh Bersin is a principal and the founder of Bersin by Deloitte, Deloitte Consulting LLP, a research and advisory consulting firm in enterprise learning and talent management. He is also the keynote speaker at the SHRM India HR Tech '17 Conference & Expo in April.
As used in this article, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
来源：SHRM
原文链接：https://www.shrm.org/hr-today/news/hr-magazine/0217/Pages/9-HR-Tech-Trends-for-2017.aspx
Josh Bersin
Josh Bersin
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