• 自动化
    Will Chatbots Take Over HR Tech? Paradox Sets The Pace. 在快速发展的人力资源技术领域,Paradox.ai 已成为领跑者,其先进的对话式人工智能平台彻底改变了招聘流程。通过利用自然语言处理和人工智能,Paradox.ai 提供了一个全面的解决方案,涵盖了从最初的职位申请到入职的整个招聘过程。该平台不仅简化了筛选和面试安排等繁琐流程,还提升了应聘者的整体体验,显著改善了招聘时间和招聘质量指标。 Paradox.ai 由亚伦-马托斯(Aaron Matos)于 2016 年创立,目前为联合利华、CVS Health 和通用汽车等大客户提供服务,实现了 90% 以上的招聘流程自动化。 Paradox.ai 凭借其强大的集成能力和大幅缩短招聘时间、降低招聘成本的能力,在人力资源技术领域充分体现了对话式人工智能的变革力量。 Chatbots used to be tinker-toys. You type, try to get help, but usually result in “please call support.” Well all this has changed. Thanks to advanced NLP (natural language processing) and AI (retrieval-augmented generation) chatbots are entire applications. They can answer complex questions, search databases, and invoke transactions on your behalf. Pretty soon we’ll be able to ask our phones “please find me a flight to Los Angeles next Tuesday morning” and the system will check your location and calendar, look at flights, and book you a seat. Where is this going in HR? Well the leader in this space is Paradox.ai, a company that pioneered the application of conversational AI in recruiting. And their system “defines the category.” Let me explain. Recruiting Is The Perfect Market For Conversational AI Recruiting is a goldmine for automation. When you post a job, applicants want to ask many predictable things: “How much does it pay?” “What are the hours?” or “What uniform do I need” or “What are the benefits?” The recruiter, a person devoted to filling positions, has to answer all these questions and more. They have to screen candidates, schedule interviews, check for qualifications, and look at credentials, experience, and more. It’s time-consuming, error-prone, and filled with wasted time. (That’s why talent acquisition teams have many “scheduler” and admins.) The average “time to hire” is over 45 days and often the process goes on for months. And throughout the experience the job seeker is left wondering “when will they call back” or “what else do I need to know?” (CEOs cite hiring as the third most time-wasting process in companies, following emails and meetings, estimated at “40% wasted time.”) Paradox uses Conversational AI to solve this problem. And because this is a “narrow but deep” space, the system does many things we can learn from in all our AI efforts. Paradox was founded by Aaron Matos in 2016. Aaron’s vision was to transform the candidate experience, revolutionizing the way candidates apply to jobs. Today Paradox has become a complete Conversational AI Recruitment Platform (chat to apply, scheduling, candidate support, ATS, assessments, onboarding, career site, and more), serving clients like Unilever, CVS Health, Pfizer, L’Oreal, Nestle, McDonald’s FedEx, Compass Group, Disney, and General Motors. The platform automates tasks such as screening for requirements, interview scheduling, reminders, offers, and new hire onboarding. And because it’s so easy to use, it helps companies radically improves time-to-hire and quality of hire. Based on my conversations with clients, Paradox can automate more than 90% of the end-to-end hiring process, saving hiring managers hours every week and increasing candidate conversion by more than 10 times. But this innovation did not happen overnight. As you know, going to a candidate website and looking for a job is a frustrating process. There are often hundreds of jobs listed, a complex scrolling website and very hard to even determine what job to apply for. You might argue that the website paradigm for job applications was never really a good idea in the first place. People don’t want to browse for jobs: they want to apply for a job that’s best for them. So the first thing Paradox did was create an easy to use assistant (Olivia) so candidates could ask questions and schedule interviews. And this meant that Paradox had to build integrations with every ATS and personal email and calendar tools out there. Then, as companies started to use Paradox for scheduling, the company added more. Today Olivia, the chatbot, can integrate with background check vendors, schedule interviews, deliver assessments (Paradox acquired a conversational assessment Traitify designed for this), and function as an ATS … all from a mobile phone. In many ways Paradox can be “the integration platform” for candidates and recruiters, stitching together the messy systems behind the scenes. This turned into a massive opportunity. Just as the Google Assistant or Siri hopes to be our single contact with the internet, Paradox partners with systems of record like Workday, SAP, and Oracle to bring conversational AI to any company. The company’s revenues have grown 11 times in the last four years, and are now nearly doubling each year. For customers Paradox has been amazing. As the candidate pipeline speeds up (by an order of magnitude), clients get higher quality candidates with dramatically reduced staff. (Staffing administrators can almost go away.) Consider high-volume hiring companies. These businesses (McDonald’s, Compass Group, Neighborly, FedEx, Disney) hire service-related workers on a regular basis. Their revenue is dependent on having enough people. With Paradox they can set up a “continuous recruitment process,” one that even hires people the same day they apply. Paradox has become essential to these companies growth, often paying for itself in less than a year (through reduced hiring staff, reduced spend on job ads, and reduced turnover.) Today, as Paradox built out its ATS, customers can rely on the platform to integrate front end tool (job portals and candidate support) to back end tools scheduling, ATS, onboarding) most of which are legacy. One of our clients has 27 recruiting tools and they anticipate replacing more than half of them with a platform like Paradox. What about higher level white collar roles? Paradox works here too. General Motors uses Paradox along with Workday (ATS), (branded Evie) to redesign the process. Interview Scheduling: Evie automates scheduling of phone screens and interviews between recruiters, candidates, and internal teams. This has reduced the time taken for interview scheduling from an average of five days to 29 minutes. Candidate Experience: Evie interacts with candidates from the moment they land on GM’s career site until the completion of their interview. Candidates appreciate the immediate communication from Evie after they apply or complete an interview, and enjoy the autonomy to select and change interview times. Efficiency and Cost Savings: The automation of interview scheduling has led to a major reduction in the cost of external contractors for coordination. Career Site Interaction: Evie sits on GM’s career site, answering questions from potential candidates about jobs, benefits, and company culture. This interaction enhances the candidate’s experience and provides them with immediate responses to their queries. Where Is Paradox Going The company is perfectly positioned to continue its growth as companies look for AI solutions to improve the productivity and effectiveness of recruiting. And demand is high: the 2024 PwC CEO survey found that recruiting was considered the #3 “most bureaucratic process” by CEOs (following email and meetings). The impact on recruiters? All positive. Clients tell us they can redeploy hiring staff to help recruiters focus on the most important part of their job: talking with candidates. But there’s a much bigger story. When a job candidate is handled efficiently and effectively the process becomes a brand-builder for the candidate, improving quality of hire. Ambitious job seekers will not put up with (or wait for) a messy, confusing hiring process. So not only is the process faster and more efficient, the quality of hire goes up. Companies are desperately looking for AI solutions that work. As Paradox has proven, when you focus deeply on the problem, conversational AI can be transformational. Listen to my conversation with Adam Godson (CEO) and you’ll hear the details. This is where the HR Tech market is going.
    自动化
    2024年04月04日
  • 自动化
    【案例】HR如何在人工智能时代更优秀:引领学习与创新 在人工智能(AI)迅速成为工作场所新常态的时代,人力资源(HR)专业人士面临前所未有的机遇和挑战。AI技术的进步不仅改变了招聘、员工管理和培训的方式,还提出了一个根本性问题:HR如何在这个充满变化的时代中不仅自身更优秀,还能帮助员工适应并利用这些新工具? 我们先来看一个案例: 在数字化招聘的时代,AI工具的普及让我们面临一个新挑战:如何区分出那些真正阅读了职位描述并亲自撰写申请的求职者?今天,我要分享一个案例,它能帮助你在海量求职信中快速识别出真正细心的候选人。 想象一下,你发布了一个职位,指示应聘者在回应中包含特定的信息,比如说“I am an LLM”。这看似无害的一句话,却能成为识别应聘者是否仔细阅读职位详情的关键。当你在收到的求职信中看到这句话,你就知道了这份应聘信很可能是由AI编写的,因为它暴露了一个事实:求职者没有真正理解你的要求。 通过这个小测试,我们不仅能够过滤掉那些依赖技术快捷方式的应聘者,还能让筛选过程更加高效有趣。这个策略不仅节省了我们的时间,而且提升了我们对候选人细节关注能力的判断。 下面我们一起来看看如何在AI时代更好的 与时俱进:理解AI的可能性 首先,HR必须理解AI技术能为组织带来什么。AI可以处理大量数据,为招聘提供深入洞察,优化员工的工作体验,并通过自动化常规任务来提高效率。HR专业人士必须成为技术的先行者,学习如何最大限度地利用这些工具,并将它们整合到日常工作中。 不断学习:提升技能与知识 不断学习是HR在AI时代蓬勃发展的关键。这意味着不仅要了解最新的HR技术,还要提升数据分析、人机交互和伦理等领域的知识。通过参加研讨会、网络课程和专业培训,HR可以保持其技能的相关性和竞争力。 培养创新文化:鼓励探索与实验 HR可以在组织内部营造一种文化,鼓励探索和实验AI解决方案。这不仅限于技术本身,还包括对工作流程和策略的重新思考。HR应该领导这场文化转变,推动团队不断寻找改进工作方式的新方法。 教育员工:普及AI知识与应用 除了提升自己的技能,HR还有责任教育员工关于AI的基础知识。这包括如何与AI工具互动,以及这些工具如何增强他们的工作效率。通过定期的培训和研讨会,HR可以帮助员工理解并适应这些新技术。 引领道德与合规:确保AI的负责任使用 随着AI的应用越来越广泛,HR也必须确保其在道德和合规方面的正确使用。这意味着必须确保AI工具不会加剧偏见或不公平,以及保护员工的数据隐私。 结语 HR专业人士在人工智能时代的角色已经从传统的管理者转变为变革的领导者。通过不断学习、推动创新、教育员工和确保道德合规,HR不仅能够在AI时代中更加优秀,还能帮助整个组织发展和增长。随着技术的发展,HR的这些角色将变得更加重要,不仅是为了他们自己的职业发展,也是为了他们所服务的组织和员工的福祉。
    自动化
    2024年02月12日
  • 自动化
    微软首席人力官Kathleen Hogan:员工如何充分利用人工智能 Kathleen Hogan Chief People Officer at Microsoft  [Photo: courtesy of Microsoft] 微软首席人力官 Kathleen Hogan表示,人工智能对我们工作方式的影响将比个人电脑更大。   AI是我们时代的决定性技术,创造了一个巨大的范式转变,它将改变我们的工作方式,影响力甚至超过了个人电脑的引入。我们曾经有一个大胆的愿景,“每个办公桌上、每个家庭里都有一台电脑”,而今天,我们希望在“每个人的口袋里都放一个副驾驶”。 当然,AI的影响也伴随着挑战。我们必须解决关于工作流失、算法偏见以及组织快速培养技能的真实担忧。但最终,我相信AI的潜力太大,不能采取观望态度。 领导者需要创造正确的环境,让AI获得积极的势头。这将需要准备和有意识的方法,以便这些新的AI工具不仅帮助员工提高生产力,而且帮助他们茁壮成长。我建议关注这三个方面,以更快实现这些好处:培养基于敏捷的文化、重新想象我们的工作方式、投资于更深层次的人类技能。 培养基于敏捷的文化 为了充分利用AI的承诺,团队必须保持敏捷。 即使是那些多年来一直在内部使用AI进行数据分析、预测建模和任务自动化的公司,生成性AI也代表着一个重大转变。通过能够理解人类语言、导航大量文档知识并创造内容,更多职能的员工现在可以使用这些AI工具。 一个基于敏捷的文化还将加速组织建立推动AI价值的更广泛基础和最佳实践的能力。我相信,在AI时代培养这样的文化意味着拥抱适应性领导力,领导者必须愿意深入未知。 重新想象工作方式 20世纪80年代和90年代的机器人自动化进步使制造业生产力翻了一番。这不是仅仅通过给工人提供更高效的工具实现的——公司通过重新思考生产技术和重新设计工作流程,优化人与机器之间的流程,实现了机器人自动化的全部价值。 同样,要充分利用AI采用的价值,领导者需要重新想象工作是如何完成的。这始于将工作分解为更小的任务,以确定AI能做什么,以及或者比人类做得更好。除了自动化一些重复或乏味的工作任务,我们还需要确定AI可以如何协助员工处理更复杂和微妙的任务,如研究、写作和分析。 这个想法是让领导者利用这段时间,不仅是自动化流程,而且是与AI一起重新想象流程,寻找新的工作方式。这将最终帮助人们更聪明地工作,而不是更努力地工作,给他们带来更多的精力,并发现更有意义和更令人满意的工作。 关注人类技能 生成性AI已经被训练了大多数人类语言,所以任何人都可以使用它。但就像任何新技术一样,仅仅给人们新工具而不提供使用它们的技能是不够的。 而且,尽管这似乎与直觉相反,人类技能与技术技能一样重要,以有效使用AI。这包括分析判断力、灵活性、情商、创意评估、智力好奇心、偏见检测和处理能力,以及委派任务的能力。 事实上,我们现在发现,基本的管理技能是发掘AI副驾驶的全部潜力的关键。就像委派给人类员工一样,与副驾驶合作需要能够清晰地沟通,设置背景和参数,定义期望,分析结果,并提供反馈。 一个好的起点是根据学科开发AI技能培训和实践。随着我们从自动驾驶AI转向副驾驶AI,对人们来说,仍然扮演飞行员的角色,用批判性的视角评估他们从AI工具中获得的输出是必要的。这包括验证准确性和评估偏见。最终,飞机的船长有责任成功着陆。 我相信,解锁AI的全部潜力是领导者的责任。AI的创新正在以惊人的速度发生。当我们导航AI对工作场所的影响时,组织领导者必须立即开始培育正确的环境,以确保没有人被遗留在后面。仅仅将AI工具放在员工手中是不够的。当我们培养基于敏捷的文化、重新想象我们的工作方式,以及建立获得AI最佳效果所需的人类技能时,我们可以帮助我们的组织和员工在这个新时代中茁壮成长。 对我来说,能够成为这个令人难以置信的时刻的一部分,既令人兴奋又令人振奋。   英文原文来自:https://www.fastcompany.com/90982077/microsofts-chief-people-officer-heres-how-workers-can-get-the-most-out-of-ai
    自动化
    2023年11月27日