埃森哲案例研究:通过机器学习和语义技术进行企业协作和知识管理Accenture Case Study: Enterprise Collaboration & Knowledge Management through Machine Learning and Semantic Technologies |
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课程网址: | http://videolectures.net/coinactivess2010_djordjevic_acs/ |
主讲教师: | Divna Djordjevic |
开课单位: | 埃森哲技术实验室 |
开课时间: | 2010-11-24 |
课程语种: | 英语 |
中文简介: | 咨询公司每天都要完成一些企业任务,如提案撰写、市场营销、销售/评估、风险管理等。埃森哲的积极目标包括:-积极研究的动机、影响力和有效性;-改善埃森哲及其客户的知识型员工之间的合作。过程和上下文敏感的搜索和浏览以及协作提案开发支持是埃森哲在ACTIVE中的用例。该视频还讨论了保护企业数据的隐私保护问题,并给出了一个应用实例:过程相关和上下文敏感的知识工作。 |
课程简介: | A number of enterprise tasks, such as Proposal Writing, Marketing, Selling/Estimation, Risk management and other are performed by the consulting companies every day. Accenture ACTIVE goals include: ;- motivation, influence, and validation of the research in ACTIVE ;- improvement of the collaboration among knowledge workers for Accenture and its clients. Process and context sensitive search & browsing and Collaborative proposal development support are the Accenture use cases in ACTIVE. The videolecture also discusses the privacy preserving for protecting enterprise data and an applied example: process–specific and context sensitive knowledge work. |
关 键 词: | 埃森哲案例研究; 语义技术; 企业协作; 知识管理 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-06:王勇彬(课程编辑志愿者) |
阅读次数: | 138 |