STATISTICAL MACHINE LEARNING IN TERMS OF INDUSTRY 4.0 AND INVESTIGATION OF THE IMPACT OF BIG DATA ON THE COMPETITIVENESS OF FIRMS

Abstract

The ultimate goal of Industry 4.0 is to deliver real-time data to network-based information technology systems, which are always connected to machines, components and ongoing work. They use machine learning and artificial intelligence algorithms to analyze and obtain information from these big data and adjust processes automatically as needed. Statistical machine learning techniques are designed to extract information from existing data. Statistical machine learning is largely based on statistical optimization and forecasting techniques. As a result of the analysis of big data gathered by statistical techniques with statistical machine learning methods, both manufacturers and service sector companies using these new techniques and methods have higher competitive power compared to companies that cannot adapt to these new techniques. In this study, statistical machine learning in terms of Industry 4.0 and the effect of big data on the competitiveness of firms have been investigated.