Innovative Knowledge Automation Framework in DM and Collaborative Edge Computing Social IoT Systems

Qiansha Zhang, Gang Li
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Abstract

Digital marketing-based innovative knowledge management helps people inspire creativity and cultural changes required to advance the organization and satisfy changing business requirements. Knowledge workers can respond more rapidly when they have quicker access to resources and information across the company. A knowledge-based approach views innovation as a process characterized by the knowledge needed to understand how the innovation was created. The term “digital marketing automation” (DMA) refers to software platforms and technologies built for marketing departments and enterprises to sell online and automate tedious tasks more effectively. Digital marketing encompasses all forms of advertising that take place online, including but not limited to websites, search engines, social media, email, and mobile apps. An entirely new approach to big data processing has emerged because of the rise of edge computing in the internet of things environment. As a result of these findings, a distributed neural network cloud-edge computing paradigm is presented.
DM和协作边缘计算社会物联网系统中的创新知识自动化框架
基于数字营销的创新知识管理帮助人们激发创造力和文化变革,这是推动组织发展和满足不断变化的业务需求所必需的。当知识型员工能够更快地访问整个公司的资源和信息时,他们可以更快地做出反应。以知识为基础的方法将创新视为一个以理解创新如何产生所需的知识为特征的过程。“数字营销自动化”(DMA)一词是指为营销部门和企业建立的软件平台和技术,以更有效地在线销售和自动化繁琐的任务。数字营销包括所有形式的在线广告,包括但不限于网站、搜索引擎、社交媒体、电子邮件和移动应用程序。由于边缘计算在物联网环境中的兴起,一种全新的大数据处理方法已经出现。基于这些发现,本文提出了一种分布式神经网络云边缘计算范式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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