... prevention. Machine learning-based data analysis, using self-organizing maps, is used to assess the severity of CF dynamically and in real-time. Findings Findings reveal the multifaceted nature of CF, emphasizing the need for tailored control measures and a shift from reactive to proactive mitigation...

... through cloud-complementary technologies such as Big Data and Machine Learning. Design/methodology/approach The model is estimated through structural equation modeling. The data set consists of the microdata of the survey of information and communication technologies uses and cyber protection...

... and the general public (Section 1). The major terms around the AI technology stack are introduced (Section 2) – explaining the most important concepts in machine learning and perception technologies. The distinction between these two groups of definitions addressing AI is important. The first attributes...

..., there is enormous potential for the transfer of human activities to machines. Retail Trade Retailing Artificial intelligence Machine learning Wholesaling In an economy based on the division of labor, trade has the task of balancing spatial, temporal, qualitative and quantitative distances...