IoT Evolution Towards a Super-connected World

A. Elnashar
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引用次数: 6

Abstract

Internet of Things (IoT) is one of the key components of Digital Transformation, along with big data and analytics. IoT, together with the cloud, big data, analytics, machine learning (ML), and deep ML, can help create numerous possibilities and new opportunities. These possibilities will impact our daily lives substantially and open new business models for consumers and enterprises where the number of connected IoT devices could go up to 50 Billion by 2022. The ecosystem of IoT consists mainly of sensors/devices layer, connectivity layer and IoT platform. The main value of IoT is in creating use cases for efficiency, monitoring and management of the things/devices. IoT connects the things through the Internet to the IoT platform which equipped with device management and with the possibility of creating new use cases along with data analytics and ML that provide 360 view through data insight
迈向超级互联世界的物联网演进
物联网(IoT)是数字化转型的关键组成部分之一,还有大数据和分析。物联网与云、大数据、分析、机器学习(ML)和深度ML一起,可以帮助创造无数的可能性和新的机会。这些可能性将极大地影响我们的日常生活,并为消费者和企业开辟新的商业模式,到2022年,联网物联网设备的数量可能达到500亿。物联网生态系统主要由传感器/设备层、连接层和物联网平台组成。物联网的主要价值在于为物/设备的效率、监控和管理创造用例。物联网通过互联网将事物连接到物联网平台,该平台配备了设备管理,并有可能创建新的用例,以及数据分析和机器学习,通过数据洞察提供360度视图
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