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Robert Parker

Senior Vice President, Enterprise Applications, Data Intelligence, Services, and Industry Research




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    • Nadia Ballard Loading
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    • Lynne Dunbrack Loading
    This IDC Perspective explains how healthcare organizations considering industry clouds should approach the evaluation and selection process. As a new, platform-based model for engagement with end customers and ecosystem partners, industry c...
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    • Philip Carter Loading
    • Robert Parker Loading
    • Brian E. Clarke Loading
    • Chris Murphy Loading
    • Teodora Siman Loading
    • Elaina Stergiades Loading
    • Mark Thomason Loading
    • Ashish Nadkarni Loading
    • Ritu Jyoti Loading
    This IDC Perspective provides a definitive overview of the generative AI (GenAI) pricing models to help IT and sourcing professionals budget for GenAI deployments across multiple types of use cases. The generative AI pricing landscape is co...
  • By: 

    • Holly Muscolino Loading
    • Philip Carter Loading
    • Robert Parker Loading
    • Michelle Abraham Loading
    • Arnal Dayaratna Loading
    • Frank Dickson Loading
    • Stephen Elliot Loading
    • Simon Ellis Loading
    • Sam Halwani Loading
    • Jeffrey Hojlo Loading
    • Marci Maddox Loading
    • Michelle Morgan Loading
    • Mickey North Rizza Loading
    • Ryan O’Leary Loading
    • Brian O'Rourke Loading
    • Kevin Permenter Loading
    • Aly Pinder Loading
    • Patrick Reymann Loading
    • John Snow Loading
    本IDC技术买家演示文稿介绍了13个不同业务职能的关键场景示例。根据IDC的定义,场景是以能交付可衡量成果的技术为基础的企业投资项目。生成式AI(GenAI)应用场景主要分为三类:与工作任务相关的生产力场景;面向特定部门或职能部门(营销、销售、采购等)的业务职能场景;以及面向特定行业的场景。每一类场景都有自己的内用和外用场景,且每个场景都有自己的潜在风险等级和业务影响,任何企业在开始自己的GenAI之旅前,都需要将这些风险和影响纳入自己的场景优先顺序框架中。
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