• 硅谷
    5个小技巧避免上系统的时候反悔!HR Tech: 5 Tips to Avoiding Buyer’s Remorse by Jessica Yuen, Chief People Officer at Couchbase (former Head of People at Gusto) Technology has transformed numerous industries, and HR tech is experiencing its moment as more and more products are arising to make our jobs as HR leaders better and easier. These tools have the power to take repetitive work off the table and allow HR teams to be more insightful and strategic. However, HR tech can be a double-edged sword that promises efficiencies while also being a potential minefield of user challenges and process changes. Many tools seem shiny and oh-so-promising: you’ve done your research, worked hard to get budget and internal buy-in, rallied the team around the product, but then…sometimes it fizzles and buyer’s remorse sets in. So, what can you do proactively in anticipation of these challenges? Ask for customer references. Most teams hit the key research questions when looking for new HR tech (price, features, integrations, time to implement, etc), but the most helpful research often includes customer references. Talking to other customers is especially helpful during the decision-making process, plus can be helpful to provide insights into planning for implementation. Testimonials will provide a preview of highs and lows of implementation and help you suss out if the sales process was too good to be true or pretty spot on. Investing a couple hours to get the real scoop could save many more hours in the long run. Plus, it’s always great to connect with other awesome HR teams! Try before you buy. De-risk a huge rollout when possible. Many HR tools allow for a trial period, which allows for the intricacies of integrations or ensuring historical data to be sorted out / spotted first. Running a pilot (say for 6–12 weeks) provides enough time to gather data on how engaging the product is as well as how much of the sales pitch was reality versus on the product roadmap. Usually in the first few weeks, engagement metrics spike as folks are eager to try out something new. For a tool that the entire company uses, like the HRIS or performance management system, you can first provide access to your HR department to make sure that everything looks right, and then release to the “friendliest” departments or folks who will provide helpful feedback. By positioning this as a trial period, it can allow for the tool to get up and running sooner without as big of backlash, plus more importantly, identify any major snafoos before an all encompassing rollout. Oftentimes, you can find a department or subset of employees who can try out the tool and provide feedback. This will also kickstart two key areas of momentum 1) Training of users, and 2) Identifying change agents who can help with evangelism and adoption. Naomi Davidson, founder of team effectiveness software trybe.ai, encourages customers to “learn about the long term relationship you’ll have with a vendor during the pilot. Good vendors care about supporting a successful roll out. Great vendors are long-term partners, helping to anticipate hiccups and measure success of the tool for your business.” Secure it. HR tech expert Annie Wickman, who has implemented her fair share of systems at Humu, Gusto, Etsy, and Google reminds us: Triple-check the security. Many of these systems involve transferring a lot of private data, so pull in a security expert from your team to verify everything is secure. Nothing stands in the way of a smooth transition quite like a data breach. Communicate, communicate, oh and then, communicate. Bring your leadership team and your employees along the journey. Being clear about what you’re trying to solve for (why is this tool needed), what’s different now that this new tool exists, the anticipated timeline, and what is Plan B if things go awry, will help get them comfortable. Then share any definitions for success (adoption rates, ROI, efficiencies like reduced questions to HR, etc) and track them in the coming months to show how effectively the rollout is going. Implementing a new tool takes time, which means the HR team may need more time to answer questions as you set up the resources for FAQs or get familiar with edge cases, so to the extent possible, your team should prepare both formal and informal communications. Ease the transition further and increase adoption by explaining and documenting the most common ways the tools is supposed to be used and including examples of any best practices. As with any tool, it is only as useful as the user who wields it. The more complex the tool, the more important it is that end users understand the purpose and function. Back it up. For critical systems like your HRIS, run the prior method alongside the new system for a short time (depending on the amount of data this could be a couple weeks or a couple months). While it’ll feel like double the work, the ROI is worth it as it will allow you to easily audit if the new system is doing what it needs to do. Figuring out a couple easy-to-track metrics (e.g., number of entries) will be a good sanity check and might save you a lot of work down the road if you can avoid major glitches. As you monitor these metrics, you can also get a sense for if you need to switch tactics. For example, if you see adoption decreasing for a performance development tool, perhaps you can try a team by team competition on completion of goals in the system. Or leverage role modeling of good behavior by highlighting it in the company newsletter. At the end of the day, these tips will help make the implementation faster, the organizational rollout smoother, and hopefully help users well, actually use the tools successfully.  
    硅谷
    2018年08月18日
  • 硅谷
    机器可能会带来新工作 - 他们也可以帮助我们培训新工作 这是一个有趣的观点,简单了解下,以下是AI翻译完成,仅为快速传递资讯和观点。不喜勿入。 ———————————————— 今天存在的近一半的工作岗位可能在未来几年内实现自动化。 即使是机器人无法掌握的角色的工作人员也可能会看到他们的工作随着智能技术牢固地融入工作场所而改变。 没有人能够准确预测智能机器将如何改变人类的工作世界 - 或者人们的工作将如何随着自动化同行的引入而发展。 许多问题仍然存在,但有一点是明确的:工作的未来将是不同的 - 工作人员需要学习不同的技能,以拥抱与技术共享的未来。 与此同时,世界各地的组织迫切需要设计重新培训工人的系统,并使他们与新的职业相匹配。 挑战是一个艰难而紧迫的挑战,它涉及解析大量数据并整合一组复杂的变量。 实际上,这正是AI为解决而构建的人类问题。 [来源图片:roberuto / iStock] 部署AI来解决自动化产生的问题似乎违反直觉。 但我们面临的挑战规模要求采用非常规方法。还没有人知道自动化带来的生产力增益是否能创造出比破坏更多的就业机会 - 这在以前的技术转变中已经发生过。但随着时间的推移,随需应变的技能将发生变化。 最重要的是,Pew Research最近发现,72%的美国人担心机器在工作场所接管人工任务。就业市场数据提供商Burning Glass已经发现,需要数字技能和行业专业知识的“混合”工作(如营销分析师)的帖子数量有所增加。 分析指出,很少有大学课程将这两种技能集合作为一揽子计划,这使得许多年轻人无法理解这些角色。 他们的研究结果还表明,只有少数行业认证课程真正改善了就业前景。 即将到来的自动化浪潮通常被描绘成一场零和游戏。随着机器人的崛起,人类工人被挤出去了。但现实更加微妙。 [来源图片:roberuto / iStock] 首先,技术采用与人类工作之间的反向关系不如许多人想象的那么强大。自动柜员机是银行员工推出时的特定工作杀手。然而,波士顿大学经济学家詹姆斯·贝森的研究发现,自动柜员机进入主流后,银行出纳员的数量实际上有所增加。原因是:它降低了经营分支机构的成本,因此银行开设了更多,并雇佣了更多的员工。 退一步,将机器人和人工智能系统部署到工作场所会改变就业市场所需的技能。 自动化很少能完全消除职业。通常它会占用工作的常规部分,让人们花更多的时间在创意或以关系为中心的元素上。例如,银行出纳员现在处理更少的现金提取或存款,而是需要软技能来建立客户忠诚度并帮助他们满足更广泛的财务需求。 自动化有许多积极的影响。如今,由AI驱动的自动化平台可以通过检测医学图像上的微小癌症迹象来挽救生命。在未来,它们可以帮助我们更好地了解气候变化或防范网络犯罪。人工智能和机器人也可以承担许多重复性任务,可能使工作成为人类更有益的经历。但是,除非找到有效的方法来减轻其破坏性影响并教育人们了解其变革价值,否则这些解决方案将失去公众支持。 自动化对工作的影响因行业而异,可能也会因公司而异。这就是为什么在自动化面前对职业转型的统一回应可能会变得很短。我相信最好的结果将来自为每个人进行再培训提供个性化策略,以帮助人类未来的职业生涯。 实际上,世界各地的大量工人都需要接受再培训。为自动化未来做好准备的努力将超越行业和地区,不​​仅要应对自动化,还要应对全球经济的数字化。通过帮助工作人员逐案过渡,提供自动化解决方案和混合平台的公司可以发挥主导作用,帮助人们保持对未来工作场所的相关性和关键性。 Joe Greenwood是位于多伦多的创新中心MaRS Discovery District的数据主管。
    硅谷
    2018年08月18日
  • 硅谷
    未来10种改变游戏规则的现代招聘技巧--你不可不知道 作者:Alastair Brown是 BrightHR的首席技术官  数字革命改变了招聘。在过去十年的时间里,人们已经从传统的工作网站转向创新的新的令人兴奋的招聘工具和技术。(2018中国招聘科技峰会可见一斑) 但是,改变游戏规则的招聘技术将会影响您未来的招聘策略? 为方便你快速了解。我们简单介绍下,整体可以看我们AI翻译带来的内容。如果你不喜欢AI翻译的内容,可以访问 HRTechchina.com 阅读英文原文。   1、人工智能 在招聘技术方面,人工智能已经在企业寻找新人才的方式中发挥着重要作用。 它的崛起如此迅速,它在世界领先的媒体出版物中被报道。例如,福布斯在1月份发表了一篇题为人工智能如何改变招募游戏的文章。在这篇文章中,它承认招聘是现代企业最艰难的工作之一。人工智能可以减轻大部分的努力工作。   简化流程至关重要。这是AI特别擅长的一件事。但是什么类型的工具将引领它?以下是一些最强大的选项: 聊天机器人:快速访问候选人,确保合适的候选人,并指导他们找到合适的角色。他们是处理大量优秀人才的被动方式 - 已经很强大,他们有可能为招聘人员节省大量时间。 情感 分析:可用于在偏见或偏见语言的情况下调整工作规范。 人才 重新发现:通过ATS(申请人跟踪系统),AI可以扫描您的数据记录并找到符合该法案的先前候选人。 未来的招聘技术将越来越多地使用AI。   2.虚拟现实 VR是一个令人兴奋的前景。一些行业的VR头戴式耳机旨在比以往更大程度地与候选人接触。 利用VR显示您的业务是技术前沿的创新者。它发出了积极的信息,即使它与你的招聘策略相结合是及时和昂贵的。 来自LinkedIn的这篇文章强调了它的创新性和永远改变招聘的潜力。 许多品牌正在尝试独特的体验来改变其招聘流程 - 例如,在线商店Jet提供其商业文化的VR演示。如果他们选择在那里工作,考生可以从世界上任何地方远程访问这些,以查看他们的存储内容。 未来十年还会有更多这样的事情 - 您的企业如何将其整合到您的招聘策略中?VR的魅力在于它可以为您恰好所处的行业提供独特的解释。 3.被动候选人的崛起 已经发现了未开发的潜在候选人资源!角色中有才华的工作者并没有考虑职业变化。 以诱人的新可能性为目标 - 例如更高的工资和更多的责任 - 可能足以获得他们的兴趣。近年来,确保“被动”候选人的受欢迎程度已经大大增加,因为它可以帮助针对那些没有从一个角色跳到另一个角色的工人。 或者你可以直接找到一个受到你所提供的东西诱惑的顶级天才,或者至少让你在未来几年内放心。   4.视频面试 无论候选人居住在200英里以外还是完全在另一个国家,拖延候选人参加面试的非常古老的做法即将结束。 当我们都可以访问Skype,FaceTime,Google Hangouts以及各种其他形式的即时通信时,浪费时间和金钱。 对于所有相关人员来说,这是一个节省时间的方法 - 您可以在简短的筛选电话后删除不太合适的候选人,然后在您有一两个真正开启之后引入您的最佳选择。 如果你有潜在的海外候选人,他们可能不太热衷于参加第一阶段的面试,这一点尤其有用。   5.社交媒体 这不是最具启发性的观点,但是,是的,社交媒体可以成为招募新人的好地方。 无论是Facebook,Twitter,Instagram,Tumblr,还是LinkedIn等专业网络,您都可以找到各种易于联系的专业人士。 在招聘技术方面,这一项对于针对千禧一代和Z世代特别有效,他们倾向于使用社交媒体而不是X世代及以上。   6.申请人跟踪系统 随着大型和小型企业的兴起,ATS迅速成为招聘软件的领导者。对企业有什么好处?好吧,总结一下: 效率:在一个系统中记录所有招聘活动和候选人信息。 候选人 数据:随着人才将他们的详细信息添加到您的系统中,您可以在将来随时访问任何类似角色的工作人员库。 候选人 经验:对候选人来说更容易,因为您可以满足新的招聘期望,例如基于移动的应用程序环境。 管理员 减少:再次,取消文件柜并通过一个招聘中心简化一切 - 在办公室里不再存在多余的文件! 7 - 开放式职位 您的标准职位描述也在发生变化。一些招聘人员正在尝试新的策略,例如放弃职位。其他人甚至没有特定的规格。 其背后的想法是鼓励所有相关人员雇用高于技能的人。在最近的过去,选择具有最多经验的候选人是很常见的,因为他们必须确保这是最好的选择。 然而,经验并不能解释自然的热情,也不能说明个人是否会自然地融入您的商业文化或现有团队。如果他们非常适合您的办公室,那么培训这样的个人超过六个月或更长时间可以获得长期的回报。   8 - 新的面试技巧 新的招聘技巧带来了新的面试技巧。LinkedIn在其2018年全球招聘趋势报告中指出,旧的面试问题需要进行审核。没有更多“你在五年内看到自己在哪里?”以及更多挑战候选人思考方式的技巧。 FTSE 100人才总监Simon Armstrong在2018年5月透露,他要求候选人在采访中唱歌。如果他们不这样做,那就是面试概述。 虽然极端的例子很多工人,特别是更多内省的工人,都不会有吸引力,但还有其他的策略可供选择。让面试非正式,例如,在咖啡馆 - 喝咖啡,正确地了解你的候选人。 如果你更喜欢西蒙·阿姆斯特朗的方法,你可以随时要求他们进行霹雳舞以完成面试。   9 - 工作面试 如果您渴望测试一些重要角色的顶级候选人,那么工作试镜将为您提供一些额外的见解。 这并不理想,因为你的候选人可能会紧张或不开心你不相信他们的简历中所表现出的专业精神,但它可以提供他们如何开展工作的基本见解。 为了吸引候选人参加试镜,您可以支付他们工作的一天,为他们提供免费午餐,并确保他们在您的工作场所经验丰富的一天为他们提供指导。   10 - Glassdoor 在招聘领域出现的是这项工作搜索,并且至关重要的是公司审查平台。是的,现在是前任或现在,工作人员可以自然地审查业务,这可能导致一些心怀不满的工人离开你时,你的业务私人运作可能不会过于自豪。 该网站越来越受欢迎。它可能成为许多年轻工人的首选来源,他们正在寻找有关为您的企业工作的深刻细节。他们是否因加班而获得报酬?工作/个人生活平衡是什么样的?如果犯了错误,首席执行官是否喜欢向员工扔东西?所有这一切现在都可以揭晓,所以现在是解决企业日常工作中任何挥之不去的缺陷的好时机。   作者:Alastair Brown是 BrightHR的首席技术官 The company is a leading HR and employment law specialist, with offices in Manchester city center. He’s responsible for leading innovate HR projects that help clients to streamline their day-to-day activities. The digital revolution has transformed recruitment. In the space of a decade, there’s been a move away from traditional job websites to an innovative world of new and exciting recruitment tools and techniques. But what are the game-changing recruiting techniques that’ll shape your hiring strategy in the future? Here’s an expert insight.   1. AI When it comes to recruiting techniques, Artificial intelligence is already playing a huge role in the way businesses find new talent.   Its rise has been so meteoric it’s being reported in the world’s leading media publications. Forbes, for instance, ran an article in January titled How AI is Changing The Game For Recruiting. In this piece, it acknowledges recruitment is one of the toughest jobs modern businesses have. AI could alleviate a large proportion of the hard work.   Streamlining the process is essential. That’s one thing AI is exceptionally good at. But what type of tools are going to lead its charge? Here are few of the most powerful options: Chatbots: Quickly access candidates, secure suitable candidates, and can direct them to the right role. They’re a reactive way of dealing with the mass of excellent talent—already powerful, they have the potential to save recruiters a lot of time. Sentiment analysis: Can be used to adjust job specs in the event of biased or off-putting language. Talent rediscovery: With an ATS (Applicant Tracking System), AI can scan your data records and find previous candidates who fit the bill.   Future recruiting techniques will increasingly use AI.   2. Virtual reality VR is an exciting prospect. Some industries have VR headsets designed to engage with candidates to a greater extent than ever before.   Utilising VR shows your business is an innovator at the cutting edge of technology. It sends out positive messages, even if it’s timely and expensive to integrate into your recruitment strategy.   This post from LinkedIn highlights its innovative nature and potential to change recruitment forever.   Many brands are trying out distinctive experiences to shake up their hiring process—online store Jet, for instance, offers a VR demonstration of its business culture. Candidates can access this remotely from anywhere in the world to see what’s in store for them, should they choose to work there.   Expect a lot more of this in the decade to come—how could your business integrate it into your hiring strategy? The beauty of VR is it allows for unique interpretations for whichever industry you happen to be in.   VR is one of the recruiting techniques that could change recruitment forever.   3. The rise of passive candidates An untapped source of potential candidates has been discovered! It’s the talented workers in roles who aren’t considering a career change.   Targeting them with tempting new possibilities—such as a higher wage and more responsibility—may be enough to gain their interest. The popularity of securing “passive” candidates has shot up in recent years, as it can help to target workers who aren’t jumping from role to role.   Or you could just outright snag a top talent tempted by what you have to offer, or at least place you on their radar for the years to come.   4. Video interviews Whether a candidate lives 200 miles away or in another country entirely, the terribly archaic practice of dragging candidates in for interviews is coming to an end.   It’s a waste of time and money when we all have access to Skype, FaceTime, Google Hangouts, and various other forms of instantaneous communication.   It’s a time saver for all concerned—you can remove the less suitable candidates after a brief screening call and then bring in your top selection once you have one or two you’re really set on.   This is particularly useful if you have potential candidates abroad, who might not be too keen on getting a flight in for a first stage interview.   Video interviews can significantly increase your candidate pool.   5. Social media This isn’t the most revelatory point to make but, yes, social media can be a great place to head to recruit.   Whether it’s Facebook, Twitter, Instagram, Tumblr, or professional networks such as LinkedIn, you can find all manner of professionals who are easy to get in touch with.   In terms of recruiting techniques, this one’s particularly effective for targeting millennials and generation Z, who tend to use social media more than generation X and above.   Social media can be a great source to find candidates.   6. Applicant Tracking Systems On the rise with large and small businesses, the ATS has rapidly emerged as the leader in recruitment software. What are the benefits for businesses? Well, in summary: Efficiency: Log all your hiring campaigns and candidate information all in one system. Candidate data: With talent adding their details to your system, you have ready access to a pool of workers for any similar roles in the future. Candidate experience: It’s easier on candidates as you can cater to new hiring expectations, such as mobile-based application environments. Admin reduction: Again, do away with filing cabinets and streamline everything through one recruitment hub—no more excess of files lying about in your office!   An ATS can be very useful when it comes to talent acquisition.   7 – Open-ended job posts Your standard job descriptions are also changing. Some recruiters are trying out new tactics, such as leaving off job titles. Others have even left off specific specifications.   The idea behind it is to encourage all concerned to hire people above skills. In the recent past, it’s been common to choose the candidate with the most experience, under the belief this must, surely, be the best option.   Yet experience doesn’t account for natural enthusiasm, nor whether an individual will naturally fit into your business culture or your existing team. If they’re a great fit for your office, training such an individual up over six months or longer can reap dividends in the long-term.   8 – New interview techniques With new recruiting techniques come new interview techniques. LinkedIn has noted in its 2018 Global Recruiting Trends report that old interview questions need reviewing. No more “Where do you see yourself in five years?” and plenty more techniques to challenge the way candidates think.   FTSE 100 Talent Director Simon Armstrong revealed in May 2018 he asks candidates to sing during interviews. If they don’t, it’s interview overview.   While an extreme example a lot of workers, particularly more introspective ones, wouldn’t find appealing, there are other tactics available. Make the interview informal, for instance, at a café—over a coffee, get to know your candidate properly.   If you prefer Simon Armstrong’s approach, you could always ask them to perform a breakdance to conclude the interview.   9 – Job auditions If you’re eager to test out a few of your top candidates for an important role, then a job audition will provide you with some extra insights.   It’s not ideal, given your candidate might be nervous or unhappy you don’t trust the professionalism indicated on their CV, but it can provide essential insights into how they go about their job.   To tempt candidates into taking the audition, you could pay them for their day at work, provide them with a free lunch, and ensure they’re mentored through the day by an experienced hand at your workplace.   10 – Glassdoor Emerging on the recruitment scene is this job searching and, crucially, company reviewing platform. Yes, now former, or current, staff can review a business—naturally, this can lead to some disgruntled workers leaving you with a scathing 1/5 with private workings of your business you might not be overly proud of.   The site is becoming increasingly popular. It could become the go-to source for many younger workers looking for insightful details about what it’s like working for your business. Do they get paid for overtime? What’s the work/personal life balance like? Does the CEO like to throw things at staff if they make a mistake? All can now be revealed, so it’s a good time to iron out any lingering foibles in your businesses’ daily workings.  
    硅谷
    2018年08月17日
  • 硅谷
    Slack新一轮数亿美元融资将结束 估值达70亿美元 据知情人士透露,Slack正在筹集数亿美元的资金,融资轮结束之后Slack估值将达到70亿美元。 参与此次投资轮的新投资者有General Atlantic以及Dragoneer Investment Group。 Wellington Management正在斟酌是否要投资Slack。现有的投资者也将继续参与此次融资轮,包括Accel、Index Ventures、Global Founders Capital以及德国Rocket Internet SE。 投资讨论已经持续数月时间,目前投资轮尚未结束。 位于旧金山的Slack发言人表示公司“不会对任何谣言或揣测进行回应”。Dragoneer拒绝对此事进行评论。General Atlantic以及Wellington Management也没有对此置评。TechCrunch早先曾报道过一些融资消息。 去年,Slack融资2.5亿美元,估值达到51亿美元,融资轮由软银集团领投。 今年早些时候,Slack透露应用的每日活跃用户数量已经超过800万人,其中包括300万付费用户。在2013年推出Slack通讯平台的首席执行官Stewart Butterfield表示公司今年还没准备好上市。 Slack 最终命运应该是被收购,是被亚马逊、微软、salesforce 还是google? 我们就看其命运了!
    硅谷
    2018年08月13日
  • 硅谷
    Gusto 获得1.4亿美元新的融资,加强中小企业市场的薪酬和福利 据Jonathan Shieber 消息称: Gusto向小企业提供工资,福利和人力资源管理及监督系统服务,已在其最新一轮融资中筹集了1.4亿美元。 该公司表示将利用这笔资金增加新服务,以提高员工的支付灵活性。该公司推出了一项名为弹性薪酬 “Flexible Pay”的新服务,无论企业付费时间表如何,使得员工都可以便捷的获取薪水。The company launched a new service called Flexible Pay, which gives employees a way to get paid no matter when a company’s pay schedule dictates. 后期轮次由T. Rowe Price Associates投资组合,MSD Capital(Michael Dell的家族投资基金)领导,Dragoneer投资集团和Y Combinator的 连续性基金。 以前的投资者,包括General Catalyst, CapitalG,Kleiner Perkins,137 Ventures和Emergence Capital也参与了该轮融资。 信息来源:techcrunch.com
    硅谷
    2018年08月02日
  • 硅谷
    Workday又收购:宣布完成对Adaptive Insights的收购 Workday Completes Acquisition of Adaptive Insights Workday,Inc (纳斯达克股票代码:WDAY)是金融和人力资源企业云应用领域的领导者,已完成对领先云的Adaptive Insights的收购 - 基于公司的业务规划现代化。随着Adaptive Insights成为Workday的一部分,客户将能够在一个系统中更好地规划,执行和分析整个企业 - 这是领先的云平台,可以推动他们的财务和业务转型。 该公司将作为Workights公司的Adaptive Insights运营,Adaptive Insights首席执行官Tom Bogan向Workday联合创始人兼首席执行官Aneel Bhusri汇报工作。 对新闻的评论 “经营一家经得起时间考验的企业需要一种战略方法来规划由合适的工具和值得信赖的合作伙伴支持的规划。这就是为什么我不能更加兴奋地正式欢迎Adaptive Insights进入Workday系列,“Workday的联合创始人兼首席执行官Aneel Bhusri说。“通过与Workday统一的这个令人难以置信的团队和技术,我们将为财务和业务规划设定新标准 - 使用一个系统,为客户提供他们所需的智能,以做出更准确的决策,从而推动未来的成功。” “Adaptive Insights的成立旨在创建一个可以让人们尽其所能地完成工作的云计划平台,我们正在为超过3800家各种规模的公司做到这一点,”Adaptive Insights首席执行官Tom Bogan说。“现在,作为Workday的一部分,我们能够通过我们的业务规划云提升我们的愿景和持续创新,同时忠于我们的价值观并专注于员工和客户。我为能够共同实现的所有伟大事业感到兴奋。“ IDC企业应用与数字商务项目副总裁Mickey North Rizza表示:“随着Adaptive Insights成为Workday的一部分,组织将拥有更全面的规划系统,进一步推动财务和业务转型,从而提升竞争优势。” “随着后台办公室终于与前台办公室保持平衡,财务办公室正在经历重大的数字化转型,在整个企业中创建了一个新的数字核心。作为这种转变的一部分,财务团队需要一个强大的中央计划系统,以提供洞察力,帮助他们实时成长和竞争。“ 关于Workday  Workday是面向财务和人力资源的企业云应用程序的领先提供商。Workday成立于2005年,为世界上最大的公司,教育机构和政府机构提供财务管理,人力资本管理和分析应用程序。从中型企业到财富50强企业的组织选择了workday。 关于Adaptive Insights  Adaptive Insights 是一家Workday公司,它为新一代的业务规划提供支持,将规划流程转变为战略优势,为全球超过3,800家组织提供强大的建模功能,这对所有计划人员来说都很容易。Adaptive Insights业务规划云平台使各种规模的组织能够充满自信和敏捷地适应不断变化的业务条件。Adaptive Insights总部位于加利福尼亚州帕洛阿尔托。 以上由HRTechChina AI翻译推荐,旨在传递信息,不作为投资参考。 想了解更多的HRTech信息?欢迎参加中国人力资源科技年度峰会! 北京站:10月17日 深圳站:9月7日 规模:1000+HR科技达人  
    硅谷
    2018年08月02日
  • 硅谷
    推荐:全球最顶尖的招聘经理每天在做什么? 作者:Dr. John Sullivan,翻译:高永,global vision 有“招聘界的乔丹”之称的招聘管理专家Dr. John Sullivan收集了100多家标杆公司的最佳实践,我们从中选出25条招聘要点,供大家学习和借鉴。 你知道全世界最顶尖企业的招聘经理每天都在做什么吗?你知道他们的日程表上最优先的事项是什么吗?你知道如何完善现有的招聘体系以比肩这些高富帅的精英公司吗? 这篇文章就能提供这些答案,就看你能不能做到了。 这是一篇由招聘管理专家Dr. John Sullivan所撰写的文章,他被称为“招聘界的迈克尔乔丹”、“人力资源测量之父”和“行业内最值得尊敬的战略家之一”,文章中列举了高效招聘经理需要关注的25个工作要点,以及顶尖公司在这些问题上的最佳实践,希望能够给国内企业的招聘工作提供有价值的借鉴。 在一次令人振奋的ERE招聘博览会议上,两个参会者向我提出了两个相关联且有力的问题。第一个是“顶尖公司的招聘经理们日程表上的头等大事是什么?”,第二个问题是:“Google在接下来的招聘中会计划做什么?” 至少对我来说,未来的日程内容是重要的问题,因为在访问了大概100多家企业后,我发现95%的公司都有着迥然不同的招聘日程(如个体招聘成本、ATS测评、简历量等),然而只有顶尖公司如Google、Davita、Sodexo等在尝试处理真正优先的招聘项目。 如果你有设定招聘日程和目标的职责,我这里有一个顶尖企业也想找到的引人注目的真正先进的招聘工作要点集,但是很多公司可能很容易发现这些工作他们无法做到。如果你想跻身精英行列,你应该选择列表中的一部分来实现,当然,如果你现在正在被现有的日程内容所缠身,你也会发现它们读起来很有意思。 我把这些招聘项目和目标用递减的顺序进行排列,这个排名是基于这些项目可预计的潜在商业影响力。我把标杆公司的最佳实践也插入在了这些项目的描述里以便其他公司能够学习和借鉴。 1、招聘更高效的雇员  衡量人才管理部门最主要的标准就是公司劳动力的生产率。招聘的目的是招到比现有工作人员产出更多成果和收益的人员来保证对劳动生产率作出贡献,有些人称这是招聘的质量要求。 (索迪斯,谷歌,苹果) 2、招聘的工作优先级  领导需要量化每个工作族的商业影响力并且集中资源对那些高影响力的工作岗位设置高的优先级。需要聚焦那些能够产生巨大收益的工作岗位,一个推荐的方法就是和CFO一起工作,因为CFO能够在招聘过程中增加巨大的可信度。 (Zynga一家美国游戏公司) 3、制定有针对性的招聘程序 提高那种能够增加高附加值的创新者和合适且聪明的个体数量的聚焦能力,这些被雇佣的人有一种在本质上快速被衡量的影响力。 (谷歌、脸书) 4、内部推荐应该达到50% 当越来越多的公司通过内推的形式在公司内部收集关于招聘质量的数据,招聘经理将会意识到他们应该提高内推项目的容量然后将内推在招聘中的比例提高到50%。 (德勤,AmTrust) 5、预测分析必须取代历史度量  毫无疑问,外部供应商的测量数据支配着招聘。99%的招聘测量是“历史的”并且作为结果,他们只能告诉你去年发生了什么事情。即时的测量会显得有效是因为这些数据反映了今天正在发生的事情。 预测分析将会更有力因为这些数据会提前警告你将会发生什么,并且会告诉你为什么,因此你能够更好的准备有效的解决办法。招聘应该开发“警报”来警示招聘经理和招聘专员即将到来的问题和人才的机会。 (谷歌) 6、面对质疑 在招聘中获得充足资金的主要障碍就是首席财务官,高级的经理人应该与首席财务官合作来确定并解决问题,然后为招聘建立一个持续而引人注目的商业项目。首席财务官在核算中必须要去证明的包括目标候选人的绩效差别、空缺职位的成本、招到不合适人的长期成本,最重要的是,把主要的招聘成果转化为公司收益的货币影响力。 因为招聘负责人是招聘执行过程中最主要的限制性因素,所以那些冷眼旁观置身事外的经理人必须被邀请来阐述他们的事项,这些经理人必须和那些最有权势的经理人一起来解决每一个问题直到他们满意为止。 (Sun,谷歌) 7、招聘过程要转向算法驱动的决策  即使部分精英公司的招聘功能仍然基于已有的最佳实践和外部信息来做项目决策,然而未来的全员管理决策需要遵循谷歌的人力分析团队和PiLab所使用的非常成功的方法。 这将意味着依赖数据、统计算法,乃至在你们的公司招聘环节中向持怀疑论的经理和招聘专家们证明“什么在起作用”和“什么在不起作用”。 (谷歌) 8、补齐你在移动平台上的短板  尽管在许多公司已经在移动平台上取得了进展,但是未来的招聘信息和沟通将完全是在移动平台。所有的招聘特色必须是能通过智能手机直接进入的,并且招聘的方法必须是为了适应移动平台的优势而专门设计的。 (索迪斯、AT&T、麦当劳) 9、雇主品牌必须被提上日程 低迷的经济环境导致了绝大部分公司停止了他们打造雇主品牌的努力,然而,随着招聘竞争日益激烈,并且随着社交媒体和玻璃门等网络的兴起,传统的打造雇主品牌的方法将会被放弃。招聘经理将需要学习如何测量雇主的品牌实力和鉴别顶尖的应聘者最关心的品牌支撑物是什么。聪明的招聘经理将会收集那些能够证明雇主品牌和雇员推荐的独一无二的数据作为两个最有力的招聘工具。 (谷歌) 10、快速提高你的招聘技能 一场关于招聘的急速发展已经在高新技术企业、移动平台产业和网络公司中出现了,所以现在可能是其他产业开始为不可避免的招聘繁荣做好准备的适当的时机。这意味着经理人必须在不能增加预算的情况下开发一个快速提高你们公司的招聘数量和质量的计划。 11、候选人营销必须完善 当经济复苏后,候选人在职场上有了更多的选择,抑制这样的形势将会非常困难。因此,对招聘营销的忽视变得非常不可取,所有职位的卖点都需要重新回顾,另外,招聘经理必须把原有的实践转变为数据驱动的营销方法。 (思科) 12、评估不能再被忽视了 依靠简历、面试和背景调查作为一整套应聘者评估的方法已经是一个错误,当一种新的网上测评方法和模拟在效力上呈现一种显著增长的态势,招聘经理人将会需要把它们增加到现有的评估方法中。 (毕马威) 13、支持对竞争对手的分析和情报  只有精英公司在进行竞争性的对比分析来判定他们的招聘策略和成果是不是在所有方面都优于那些和他们存在人才竞争的公司。大部分的公司对他们竞争对手所进行的竞争性情报评估都做的不够好,并且许多都还没有认识到LinkedIn在企业识别方面的能力已经是他们的好几倍了。 在LinkedIn的专家能够告诉你的许多问题中就有你的人才竞争对手的公司正在招聘什么工作岗位并且从哪些公司获得这些人才。LinKedIn能够显示哪些公司已经关闭并且这些雇员都去了哪些公司。它也能够告诉你你自己的雇员去了哪里并且是否存在潜在的第二次雇佣的机会,一旦你想让他们回来工作的话。经验显示更新LinkedIn简历意味着一个高价值的目标即将出现在劳动力市场中。 14、为了引入难招的候选者需要增加个性化的招聘  市场已经在公司内部为传统的通用人才方法补充了一个更为专注目标的方法。猎头公司只使用个性化招聘方法而大部分的公司的招聘功能已经在与个性化招聘对比中尽显颓势。因为招聘方法和策略集中于应聘者个人的独特需求的满足,所以这种个性化的方法充满了力量。 (德勤) 15、校园招聘项目必须要升级 校园招聘的需求比以往任何时候都显得强烈。但是不幸的是,几乎所有的校园招聘项目要不漏洞百出要不过时已久,或许两者都有。如果你期望你的校园招聘和实习生计划能够硕果累累,那么你将不得不采用诸如学生推荐、远程校园招聘、校园招聘质量测量、依靠移动互联网平台和各种竞赛来区分出哪些才是最优秀的学生。 (德勤,E&Y,普瑞纳) 16、派遣制员工必须要进行整合 在一个易变、不确定、复杂且不明确的世界(VUCAworld),能够快速增加员工数量并且快速降低用工成本的能力变得不可或缺。这就意味着招聘和管理派遣制员工必须显著的加以改进并且整合进其他招聘的功能中。 (微软) 17、视频面试变的必需  这也许并不是一个非常先进的方法但是视频面试是一个在招聘实践中不得不去做的事情。这种招聘方式非常有利是因为它们能够提高招聘的速度、质量,并且能够极大的降低招聘的出差成本。 18、科技替代品必须要给予关注 人力资源和招聘已经长时间的在关注招聘和管理人,然而HR的视野应该变得更为开阔一些,因为能够代替人力的软件和机器人技术已经取得了很大的进步,HR应该和IT和技术部门合作以便开发一种在经济上比较合适的能够代替人工的算法。 (飞利浦) 19、内部流动必须要增加 因为内部流动是一项多出来的在增加员工发展机遇、维持积极性和员工保留方面的福利,因此当有内部空缺时应该首先考虑内部的人才是否合适。不幸的是,大部分内部流动机制是支离破碎的,很多合适的内部候选人经常没有被发现,所以外部的候选人才能成为首选。顶尖公司的招聘功能需要增速并提高内部流动的速度。 (思科、BoozAllen、微软) 20、要有统一的招聘中心 一些公司,特别是大的跨国性公司,已经意识到分散的招聘部门必须被集中的招聘中心所代替。招聘中心在雇主品牌、推荐、能力测量、面试官培训、在不同的事业部间共享人才等具有极大的优势。 21、定位即将到来的面试官短缺 当招聘热潮到来时,招聘经理才发现下行的经济形势已经裁掉了一大把拥有良好训练的面试官,尽管很多非常厉害的面试官仍然在职,但是寻找足够多足够好的面试官将会变得非常困难并且昂贵。所以需要制定一个训练新的面试官或者雇佣已经存在的优秀面试官的计划。 22、考虑对面试官给予奖励 随着对应聘者和面试官需求的增加,长期暂停的针对面试官的激励计划需要重启。当团队和个体因为招聘质量、满足最优先的岗位、工作量,经理人和应聘者的满足感而受到奖励时,只有最优秀的人才能意识到这样做能够对日益优秀的招聘表现做出很大的促进贡献。 23、考虑对公司有益的战略招聘 在几乎所有的企业中,招聘经理往往基于个人意愿来决定招聘岗位的优先级及必要性,精英招聘经理在招聘时则是在考虑公司更广泛的招聘需求。这就意味着要制定一个“为全局和下一个岗位而招聘”的实践,一个为满足核心工作岗位的单独招聘小组,或者CEO同意的所有能够反映公司需求和标准的招聘工作。 (谷歌、Zynga,雅虎) 24、用工计划需要重新评估 在一个易变、不确定、复杂且不明确的环境中,传统的用工供给和需求计划往往变得不切实际。因此计划时间需要缩短并且要把一系列可能的“意外”做进计划中。 25、员工保留计划必须要升级 员工保留和招聘是紧密相关的。因为社交媒体的影响,员工保留问题会很快的传播开来,不利的消息将对招聘带来非常消极的影响,员工的流失将增加招聘的工作量。因为这种相互影响的关系,招聘经理一定要和员工关系经理一起努力来保证两个项目都能做的出色。 留在结尾的思考: 我将提醒你的是如果你想了解更多关于上面25个专题要点的内容,你是无法在聚焦于平庸企业的会议日程中发现这些内容的,你也无法在畅销书甚至赞助商的白皮书中发现这些内容。即使在标杆企业也不容易看到这些内容因为这些精英招聘经理们知道保留这些招聘重点作为秘密的价值。 但这可能是学习关于所有创新和崭新理念的最重要的课程了,并且这些内容是识别一些东西是否是真的创新的和崭新的最好的方法,而这些方法则很少被写下来,拥有最佳实践的经理人也不太想分享,而普通的经理人则会忽视这些创新性的内容。我希望你能从以上的要点中为你们公司的“招聘日程表”发现至少几个创新的和崭新的想法,并努力去实践。这才是最大的意义。
    硅谷
    2018年07月26日
  • 硅谷
    你知道吗?机器学习与 人工智能:它们有何不同? 特伦斯米尔斯  AI.io和Moonshot的首席执行官Terence Mills是AI的先驱和数字技术专家。在LinkedIn上与他联系关于人工智能或移动设备 人工智能和机器已经成为日常生活的一部分,但这并不意味着我们很好地理解它们。你知道机器学习(ML)和人工智能(AI)之间的区别吗? 如果您希望在您的业务中使用其中一种,那么了解哪一项重点关注非常重要。ML和AI是相关的,但它们不相同,并且它们不一定适合于相同的任务。您可以通过了解何时选择ML或AI来将您的业务提升到新的水平。 本指南将向您介绍您需要了解的有关AI和ML的所有信息,以及它们为何与众不同。继续阅读,了解这种现代科技如何帮助您和您的企业。 机器学习与 人工智能:基础知识 以下是这些不同概念的两个简单,基本的定义。 AI意味着机器可以以“智能”的方式执行任务。这些机器不仅仅被编程为执行单个重复动作 - 它们可以通过适应不同情况做更多事情。 机器学习在技术上是人工智能的一个分支,但它比整体概念更具体。机器学习的基础是我们可以构建机器来处理数据并自己学习,而不需要我们不断的监督。 让我们仔细看看这两个概念的真正含义以及它们是如何发展的。 在一开始的时候 毋庸置疑,AI和机器学习相对较新。几十年,几百年甚至几千年前,这些概念可以追溯到某些富有想象力的个体。但直到最近,这些梦想才成为现实。 人工智能的概念在最早的计算机上得到了巩固。当然,这些第一台计算机并没有自己做出任何决定。然而,它们是能够记住信息并进行计算的“逻辑机器”。创建这些机器的人知道他们正在努力制造一台类似大脑的机器。 然而,从那时起技术变得更加先进,因此我们制造类似大脑的机器的能力也有所提高。在过去的几十年里,我们也更好地理解了自己的大脑是如何运作的。 我们越了解这些事情,人工智能的变化就越多。我们的计算机现在可以进行极其复杂的计算,但是现在的开发并没有真正关注那些。相反,人们正在寻求创造能够以类似于人类的方式做出决策并使用这些决策来完成任务的机器。 AI的类型 人工智能有两个主要的子类别。第一个应用AI。这是最常见的AI形式。它包括从智能股票交易系统到自动驾驶的所有内容。 广义AI不太常见,因为它更难创建。理想情况下,广义AI能够处理各种不同的任务,就像人类一样。尽管这些AI并不常见,但许多研究人员已经在广义AI领域取得了进步。 最重要的是,这一小节是导致机器学习发展的原因。 机器学习的成长 由于AI领域的某些突破,机器学习得以发展。 第一个突破涉及认识到教授计算机如何学习比教他们如何执行每项可能的任务并为他们提供完成这些任务所需的信息更有效。 第二个重大突破是互联网的发明。这导致了以前从未见过的巨大的信息存储潜力。现在,机器可以查看由于存储限制而无法访问的大量数据。实际上,创建的数据量太多,人类无法处理。 这两个突破清楚地表明,不是教机器做事,更好的目标是设计它们为自己“思考”,然后允许他们访问在线可用的大量数据,以便他们可以学习。 神经网络的作用 神经网络的出现对于教导计算机像人类一样思考的过程变得至关重要。神经网络允许计算机更紧密地模仿人类的大脑,同时仍然更快,更准确,更少偏见。 神经网络是一种计算机系统,它可以像我们自己的大脑一样对信息进行分类。例如,神经网络可以查看图片,识别图片中的元素,并根据它们显示的内容对图片进行分类。 这些网络使用他们有权访问的数据进行确定。数据不允许它们完全准确,但他们可以根据最有可能做出的决定做出决定。 最重要的是,这些系统涉及“学习”的反馈循环。机器可以查明其决策是否正确,然后改变其方法,以便下次做得更好。 机器学习能做什么? 这些系统的可能性似乎无穷无尽。 ML已经允许计算机查看文本并确定内容是正面还是负面。他们可以弄清楚一首歌是否更有可能让人伤心而不是快乐。其中一些机器甚至可以制作自己的作品,主题基于他们听过的作品。 机器学习的一个主要应用是与人沟通。人工智能领域称为自然语言处理,大量使用机器学习。有一天,这将使公司能够提供与人类客户支持一样有用的自动化客户服务。 机器学习与 人工智能:哪个适合你? AI和ML都可以拥有有价值的业务应用程序。确定哪一个最适合您的公司取决于您的需求。 这些系统有很多很好的应用可供选择,但ML最近得到了更多的宣传,因此许多公司都专注于这种解决方案的来源。但是,AI对于许多不需要持续学习的简单应用程序也很有用。 以上由AI翻译完成! 原论文连接:https://www.forbes.com/sites/forbestechcouncil/2018/07/11/machine-learning-vs-artificial-intelligence-how-are-they-different/#177f00033521
    硅谷
    2018年07月16日
  • 硅谷
    创新:背调公司Checkr创建动态背调监控工具以提升Uber乘坐的安全性 编者注:值得学习和参考,动态的背景调查很重要啊!国内哪家可以跟滴滴等合作起来! 目前背调都是截止调查的当天。而入职或者开始工作后的情况就很难掌握了! 现代和合规背景调查的领先提供商Checkr今天宣布了一项新技术,该技术可持续更新可能影响共乘驾驶员驾驶资格的犯罪记录。Checker Continuous Check由Uber设计,动态识别可能不合格的记录,以帮助确保驾驶员继续满足优步的安全标准。 Checkr首席执行官Daniel Yanisse表示: “ 凭借当今的按需劳动力,我们需要超越静态背景报告,进行动态筛选。通过持续检查,Checkr为共乘产业创造了新的安全标准将提供关于某人背景变化的重要见解,这可能会影响他们的工作资格。“ 优步是第一家采用该技术的公司。使用涵盖大多数新刑事犯罪的数据来源,当司机参与犯罪活动时,持续检查会向优步提供通知。然后,优步可以调查任何可能不合格的信息,例如DUI的新费用和未决费用,以确定该驱动程序是否仍有资格与Uber一起驾驶。这项新技术使优步能够在每年重新进行背景调查之间持续执行其安全标准。 “ 安全对优步至关重要,我们希望确保驾驶员持续不断地达到我们的标准,”优步安全与保险副总裁Gus Fuldner说。“ 这种新的连续检查技术将加强我们的筛选过程并提高安全性。” 最初设计用于满足共乘行业的严格要求,2018年秋季将为所有Checkr客户提供持续检查。 关于Checkr Checkr的使命是通过提高对过去的理解来建立更公平的未来。我们的平台使数以千计的客户每年能够以gig经济的速度轻松雇用数百万人。使用Checkr先进的背景调查技术,各种规模的公司都能更好地了解不断变化的员工队伍的动态,为他们的招聘带来透明度和公平性,最终为员工创造更美好的未来。 Checkr Creates Dynamic Monitoring Tool to Elevate Safety in Ridesharing Checkr, the leading provider of modern and compliant background checks, today announced new technology that provides continuous updates about criminal records that may affect ridesharing drivers’ eligibility to drive. Checkr Continuous Check, which was designed with Uber, dynamically identifies potentially disqualifying records to help ensure drivers continue to meet Uber’s safety standards. “With today's on-demand workforce, there's a need to move beyond static background reports to dynamic screenings," said Daniel Yanisse, CEO of Checkr. "Through Continuous Check, Checkr is creating a new standard of safety for the ridesharing industry and beyond that will provide critical insight into changes in someone's background that may affect their eligibility to work." Uber is the first company to adopt the technology. Using data sources that cover most new criminal offenses, Continuous Check provides notifications to Uber when a driver is involved in criminal activity. Uber can then investigate any potentially disqualifying information, such as a new and pending charge for a DUI, to determine whether the driver is still eligible to drive with Uber. This new technology allows Uber to continuously enforce its safety standards between annual reruns of background checks. “Safety is essential to Uber and we want to ensure drivers continue to meet our standards on an ongoing basis,” said Gus Fuldner, Vice President of Safety and Insurance at Uber. “This new continuous checking technology will strengthen our screening process and improve safety.” Designed initially to meet the stringent requirements of the ridesharing industry, Continuous Check will be available to all Checkr customers in Fall 2018. About Checkr Checkr’s mission is to build a fairer future by improving understanding of the past. Our platform makes it easy for thousands of customers to hire millions of people every year at the speed of the gig economy. Using Checkr’s advanced background check technology, companies of all sizes can better understand the dynamics of the changing workforce, bring transparency and fairness to their hiring, and ultimately build a better future for workers. For more information please visit: www.checkr.com.
    硅谷
    2018年07月15日
  • 硅谷
    Human-Centered A.I. is the Future of Talent Management Will A.I. eliminate my job? It’s a clickbait title most of us are now familiar with. In recent years we’ve been met with a wave of articles and soundbites — ranging from the realistic to apocalyptic — speculating as to whether A.I. will replace human jobs, take over the world, or otherwise render Us insignificant. Tesla CEO Elon Musk has even gone so far as to suggest that the volume of jobs that will be lost due to automation will create the need for a universal basic income. A fear of new technology, and of the impact that that technology will have upon the job market is not new. Technological developments that arose during the Industrial Revolution created public fear of mass unemployment (a fear that ultimately proved to be unfounded given the large number of new jobs these technologies created). Yet the narratives have never felt quite so existential before this moment. So what is different about A.I. that has so captured the public interest, and it seems, fear? It seems to lie in the idea that intelligent machines will not seek to supplement aspects of our existence, but rather, replace us entirely. Computer Scientist Subhash Kak advocates for this idea with respect to the job market in his think piece for NBC News (a piece, it is worth noting, entitled “Will robots take your job?”). The reason A.I presents a greater threat to society as we know it, he argues, is “today’s A.I. technology aims to replacethe human mind,” not simply to make industries more efficient (my emphasis). It would be naive to ignore the reality of Kak’s argument with respect to tasks requiring learning and judgement. A.I. is already replacing human decision-making in industries such as transportation and manufacturing. But are all applications of A.I. really aiming to replace the human mind in the workplace? And should they? There are other views — and other technological frameworks — to be had here. “Human-Centered A.I.” In opposition to A.I.’s “takeover” rhetoric exists a school of thought that explicitly acknowledges the benefit of partnership between humans and intelligent machines. Fei-Fei Li, director of the Stanford Artificial Intelligence Lab, calls this approach “human-centered A.I.” — a framework for guiding the development of intelligent machines by human concerns. At a high level, the goals of human-centered A.I. are as follows: A.I. should aim to enhance human thought rather than replace it A.I. should encompass the more nuanced and contextual aspects of human intellect, aided by outside fields such as psychology and sociology The development of A.I. technology should be guided by a concern for its effect on humans There are a number of cross-industry applications of A.I. that can be viewed within this partnership framework. Take, for example, the development of robots used to reduce costs, time, and human-error during surgery, allowing doctors to focus on the more nuanced aspects of the surgical process. Or, developments of A.I. in agriculture, such as Blue River Technology’s “see and spray” technique for applying herbicide only where needed, saving farmers money on herbicide and delivering a more sustainable product to consumers. But perhaps even more in contrast to the fear of a robot taking one’s job, is the increasing extent to which A.I. is being applied the field of talent management. That is to say, A.I. is being used to actually improve the workplace and the worker experience, rather than replace the worker. A.I. as a Tool for Improving the Workplace In the past several years, we have seen an emergence of companies applying A.I. to problems in talent management. From Paradox.AI’s Olivia, to Beameryand Textio, its fair to say that A.I. is on HR’s radar in a way that it wasn’t 5 years ago. What’s interesting about this trend is that unlike other industries with a stronghold in A.I., talent management has until recently been viewed almost exclusively as a “fuzzier” aspect of the business. It is an industry built on relationships, human connections, and emotional intelligence, and yet, it is being improved with A.I. To be fair, up until now a majority of A.I. solutions for talent management have focused on the more tedious and error-prone tasks around candidate sourcing and evaluation (tedious + error-prone = a perfect opportunity for automation). But there are also opportunities for A.I. to improve the post-hire aspects of the employee experience, and human-centric A.I. is the key. As the marketing world has known for years, A.I. provides a unique opportunity for scaling a personalized experience. Why would you show me the same thing as everyone else, when I’m more likely to convert if you show me exactly what I want? The same principles can be applied to the post-hire employee experience. Employees have different skills sets and motivators. If my employer places me in an environment that is optimized for my skills and motivators, I’ll stay. If not, I’ll move on. As the progression towards a digital workplace continues, companies also have more data about their human capital than ever before — who they are talking to, what they eat, when they’re online every day. WeWork is basing their business model around this data. Human-centered A.I. can unleash this data to help talent leaders create a more personalized employee experience. It is in “fuzzier” domains like talent management where human-centered A.I. shines, not just for ethical reasons, but because it provides the best user experience. At Cultivate, for example, we apply human-centered A.I. to personalize the leadership development experience for managers. Using digital communication data as a proxy for leadership behavior, we analyze and predict how managers’ actions are affecting their team, and offer suggestions for how to improve. At no point do we attempt to stand in as a replacement for a manager, or a talent leader. Rather, like a real-life leadership coach, Cultivate offers tips and suggestions that a manager can choose to take, or not. This is the kind of personal experience employees expect from their talent leaders, scaled with A.I. And it doesn’t need to stop at learning and development. A.I. also has high-potential to impact other aspects of the employee experience, from interviewing and on-boarding to performance reviews and off-boarding. Looking Forward There is no doubt that A.I. is changing the world — and the job market — as we know it. Industries will be disrupted. Jobs will be lost, new jobs will be created, some jobs will never be replaced. Ethical dilemmas will be raised. They already are. The degree of difference between aspects of human intellect and intelligent machines will become smaller. However, with careful consideration for A.I. design that creates a sense of partnership between humans and intelligent machines, A.I. isn’t a force to be feared in the workplace, but embraced. 作者:玛格丽特托马兹祖克 About Cultivate Cultivate helps companies leverage their digital communication data with A.I. to extract important organizational learning and unleash leadership potential. For more information on what we are doing at Cultivate, check out our website. 英文也比较简单理解,就不翻译了~
    硅谷
    2018年07月04日