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A Cloud-Based Approach to Supply-Chain Risk & Resiliency

机译:基于云的供应链风险和弹性方法

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摘要

As they turn to virtual education and consulting, companies are building out new cloud-based, prescriptive assessment tools. Their efforts are being enabled by artificial intelligence, machine-learning programming and and natural programming language (NLP). IBM's Watson, a learning computer that deploys A.I. to solve many types of complex problems, is just one example of that trend. With many employees now working from home, organizations and staff have begun to embrace online education, using asynchronous learning techniques and virtual education. The logical progression for consulting is to move online as well. Survey techniques and tools for achieving that goal have expanded tremendously over the last two years, and companies are now offering unique and cost-effective approaches toward that end. As the practice matures, companies will electronically receive profiles of employees' talent levels and degree of alignment with company goals. But companies must adopt certain tactical action plans in order to ensure a roadmap for success.
机译:正如他们转向虚拟教育和咨询,公司正在构建新的基于云的规定评估工具。他们的努力是通过人工智能,机器学习编程和自然编程语言(NLP)启用的努力。 IBM的Watson是一个部署A.I的学习电脑。为了解决许多类型的复杂问题,只是该趋势的一个例子。随着许多员工现在,组织和员工开始拥抱在线教育,使用异步学习技巧和虚拟教育。咨询的逻辑进展也在网上移动。在过去的两年里,调查技术和工具实现了这一目标的巨大扩大,公司现在为此提供独特且具有成本效益的方法。随着练习成熟,公司将电子地收到员工人才水平和与公司目标对齐程度的概况。但公司必须采取某些战术行动计划,以确保成功的路线图。

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