Introduction. The 5G, 6G mobile technologies, which are actively developing in the world, and the Internet of Things, Big Data, artificial intelligence are closely intertwined. It is important to understand the features of the relationship to effectively use them in new intelligent information technologies.The purpose of the article is to highlight the most important features of the relationship, which are viewed on the basis of experience in implementing 5G and 6G technologies.Results. Internet of Things technologies use 5G, 6G, as well as cloud, fog, and edge computing to connect to high-speed devices. Machine learning methods, neural networks and simulation are used to analyze Big Data. Artificial intelligence algorithms are an integral part of all technologies, they allow you to intelligently connect and control 5G / 6G networks, the Internet of Things and Big Data. The main trends in the development of 5G / 6G will be the convergence of communications, the use of 3D networks, terahertz spectrum, quantum technology, artificial intelligence and deep learning.Conclusions. The use of 5G and 6G high-speed networks, Internet of Things technologies, cloud computing, Big Data analysis and artificial intelligence is a prerequisite for the further development of the digital economy, production automation, smart healthcare and smart city.

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This article proposes an approach to solving the problem of regressors multicollinearity using the procedure of quasi-orthogonalization of data. The specified approach is based on the transformation of factors during their coding according to the rules of a full factorial experiment. It is shown that the proposed coding of factors leads to a reduction of multicollinearity of the data. This approach can be used both for building models based on short samples and for batch processing of Big Data.