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cover of episode Upskilling, tapping human talents, and what's really needed for the future of work: Cognizant CEO Ravi Kumar

Upskilling, tapping human talents, and what's really needed for the future of work: Cognizant CEO Ravi Kumar

2025/1/8
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Ravi Kumar: 我们与牛津经济研究院合作开展了一项研究,分析了生成式AI对22000个任务和1000个职业的影响。研究发现,生成式AI将显著提高生产力,尤其对低生产力人群的帮助更大,具有‘均等化’作用。同时,生成式AI的自然语言界面使其技术普及效率更高,能够弥合数字鸿沟。企业需要关注三个方面:技术基础设施建设、受影响的工作和任务识别以及再培训需求。我们需要打破传统的就业模式,将教育和终身学习融入工作中。未来工作场所需要的认知多样性将发生变化,需要更多非STEM学科的人才。 作为一名核科学家,我的科学方法论思维方式帮助我鼓励团队进行实验并验证假设,避免了压制创造力的命令式领导风格。基于假设进行测试的实验方法有助于建立协作环境,而非自上而下的环境。在决策过程中,应该在60%-70%的确定性时做出决定,避免因过度等待而落后。我通过组建多元化的领导团队来促进不同观点的碰撞,并提升团队决策能力。建立心理安全感和展现脆弱性是建立成功团队的关键。 在充满变化和不确定性的时代,领导者需要保持大胆的冒险精神,并保持领先地位。我推荐《Think Again》这本书,强调重新思考和忘却的重要性。我最近的学习是:要学会调整速度,关注影响力而非直接控制,保持脆弱、饥饿和谦逊。 Linda Lucena: (作为主持人,Linda Lucena主要负责引导话题,提出问题,并未表达自身观点,故此处不作核心论点总结)

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Workplaces are poised for a step change in how they leverage (and partner with) technology and how they tap human talents. Cognizant CEO Ravi Kumar shares insights from special research the company commissioned on how enterprise organizations can better harness tech disruptions. He discusses this research that mapped thousands of occupations and tasks and how they’ll shape our need for upskilling. He also shares lessons learned from his own background, including his training as a nuclear scientist, and how that helps him embed curiosity and experimentation into teams and why a collaborative approach that empowers people with a variety of backgrounds will be key to driving innovation in the years ahead. About this episode: Future of Jobs Report: Reskilling Revolution: