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Data Science for the Internet of Things
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2020-05-12 , DOI: 10.1109/jiot.2020.2985598
Francesco Piccialli , Salvatore Cuomo , Nik Bessis , Yuji Yoshimura

The influence of the Internet of Things (IoT) and related produced data is destined to revolutionize economic and social society, even more incisively than the advent of digital. The creation of the IoT world would have been much more complicated if a big data structure had not been followed since the latter allows to analyze vast amounts of data. The IoT is the most significant flow of information collected on the Internet and, therefore, the largest supplier for big data systems, artificial intelligence (AI), and data science. Advanced statistical analysis techniques, neural networks, and AI algorithms, but also the ability to create mathematical models that best represent a physical phenomenon or social behavior, these are the new strategic assets in the digital transformation process that is facing the world of industry and services. In fact, collecting data is not enough: they must be managed, integrated, and compared with a mathematical model that formalizes the intrinsic knowledge in the experience and competence of people.

中文翻译:

物联网的数据科学

物联网(IoT)和相关生产数据的影响注定要彻底变革经济和社会社会,甚至比数字化的出现更为敏锐。如果不遵循大数据结构,则物联网世界的创建将更加复杂,因为后者可以分析大量数据。IoT是Internet上收集的最重要的信息流,因此,它是大数据系统,人工智能(AI)和数据科学的最大供应商。先进的统计分析技术,神经网络和AI算法,还具有创建最能代表物理现象或社会行为的数学模型的能力,这些是面向工业和服务业的数字化转型过程中的新战略资产。事实上,
更新日期:2020-05-12
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