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Using Explainable AI to Revolutionize the Recruitment Industry and Candidate Experience
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- Professional Service
适用功能
- 人力资源
用例
- 质量预测分析
- 补货预测
服务
- 数据科学服务
挑战
英国和爱尔兰的 Adecco Group 是全球 500 强企业 Adecco Group 的一部分，该公司在招聘过程中面临着效率问题。传统的招聘流程涉及多次人工干预，容易出现错误和人工解释。招聘人员必须筛选大量简历，很难将合适的候选人与合适的职位相匹配。由于招聘人员全力以赴，数据驱动的洞察很容易被隐藏。该公司正在寻找一种解决方案，以减少填补空缺职位的时间和速度，并改善其吸引客户人才库的招聘渠道。
关于客户
Adecco Group（英国和爱尔兰）及其品牌是 Adecco Group 的一部分，Adecco Group 是一家全球 500 强企业，年收入超过 168 亿英镑。Adecco Group 是世界领先的人才咨询和解决方案公司。Adecco Group 每天为多达 150,000 名客户提供临时人员配置、永久安置、职业转型和人才发展以及业务流程外包和咨询等服务。该公司总部位于英国伦敦，从事专业服务行业。
解决方案
该公司决定利用机器学习 (ML) 和人工智能 (AI) 来解决效率问题。他们建立了一个数据平台，以便更广泛、更好地利用手头的数据。然后，他们开始研究将人工智能应用于这些数据可以获得的优势。他们与 DataRobot 合作开展了一个初始项目，以整合 MLOps 和自动化模型，以减少招聘人员填补职位所需的时间，同时为潜在人才建立更具吸引力的渠道。该项目利用三个指标来衡量成功：生产力、准确性和可解释性。DataRobot 模型使招聘人员能够更有效地筛选简历，将需要审查的简历数量减少了 37%。
运营影响
数量效益
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