人工智能和深度学习在人类世界和有说服力的商业模式

Per Valter, P. Lindgren, R. Prasad
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引用次数: 13

摘要

通信、导航、传感和服务集成(CONANSENSE)[10]使得开发颠覆性和说服性技术成为可能,这些技术正以指数级速度增长,每天都在颠覆企业、商业模式(BM)[5]、[6],甚至商业模式生态系统(BMES)[4]。传统上,企业把重点放在与其BM相关的人际关系上——但随着越来越多的具有感知能力和说服力的BM的快速发展,越来越多的BM由机器自主运行,企业必须知道如何创新这些BM,以及如何操作它们,以确保其充分的商业潜力和生存。长期以来,BMES和BM都是建立在人与人之间的沟通基础上的,但当这些基于机器与人类沟通的新技术发展起来时,这种联系可能会在几秒钟内消失。这将如何改变人与人之间,人与机器之间,机器与机器之间的关系。这种进化将如何影响人类和机器相互“感知”、“联系”和“交流”的能力?本文阐述了人工智能技术、说服性技术和说服性业务经理在商业模式创新中的指数发展,并为未来的商业模式创新和运营引入了概念模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence and deep learning in a world of humans and persuasive business models
Integration of Communications, Navigation, Sensing and Services (CONANSENSE) [10] has made the possibilities to develop disruptive and persuasive technologies that are increasing with exponential speed and are coursing disruption of businesses, business models (BM) [5], [6] and even Business Model Ecosystems (BMES) [4] every day. Businesses have classically put emphasis on human bonds related to their BM's — but by the fast development of more sensoring and persuasive BMs increasingly run autonomously by machines, businesses have to know how these BM's can be innovated and how they can be operated to ensure their full business potential and survival. BMES and BM's have for a longtime been based and built up with human bond communication, but this can vanish within split seconds when these new technologies very much based on machine to human communication evolves. How is and will this change the bonds between humans, humans and machines and machines to machines. How will this evolvement influence humans and machines ability to "sense", "relate" and "communicate" each other. The paper addresses the exponential development of artificial intelligence technologies, persuasive technologies and persuasive BMs in Business model innovation and introduce a conceptual model to future business model innovation and operation.
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