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dc.contributor.authorJoh, Eunice Eunju
dc.contributor.authorWhite, William Blake
dc.date.accessioned2020-11-17T15:57:56Z
dc.date.available2020-11-17T15:57:56Z
dc.date.issued2018-11-01
dc.identifier.other13721343
dc.identifier.urihttps://hdl.handle.net/1813/74400
dc.description.abstract[Excerpt] While organizations agree with the importance of AI, only 31% are ready to embrace or have already applied it to their HR process. There are varying levels of acceptance for AI across the HR function. Top areas of implementation are: recruiting and hiring (49%), HR strategy and employee management decisions (31%), analysis of workplace policies (24%), and automation of tasks previously performed by humans (22%).
dc.language.isoen_US
dc.rightsRequired Publisher Statement: Copyright held by the authors.
dc.subjecthuman resources
dc.subjectartificial intelligence
dc.subjectAI
dc.subjectrobotics
dc.subjectfunctional transformation
dc.subjectmachine learning
dc.subjectdeep learning
dc.subjectdeep neural networks
dc.subjectrobotic process automation
dc.subjectchatbots
dc.subjecttransactional HR
dc.subjectHR operations
dc.subjecttalent acquisition
dc.subjecttraining and development
dc.titleHow We Can Apply AI, and Deep Learning to our HR Functional Transformation and Core Talent Processes?
dc.typearticle
dc.description.legacydownloadsHow_Can_AI_be_Applied_to_HR_Functional_Transformation_and_Core_Talent_Processes.pdf: 1373 downloads, before Oct. 1, 2020.
local.authorAffiliationJoh, Eunice Eunju: Cornell University
local.authorAffiliationWhite, William Blake: Cornell University


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