Modern enterprises increasingly adopt Cloud Business Intelligence (CBI) systems to enhance decision-making, data analysis, and operational flexibility. AI plays a central role in these systems by enabling real-time data processing, pattern detection, and predictive insights. However, the perceived benefits of CBI may vary based on organizational characteristics, such as business profile and size. This article investigates whether these factors significantly influence how enterprises assess CBI benefits, offering insights valuable for managers and contributing to the broader discussion on Artifical Intelligence’s practical role in business analytics.

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Analysis of the Interaction Between AI Technologies for Management – Cloud Business Intelligence and Enterprise Specific Features

  • Paula Bajdor,
  • Marta Starostka-Patyk,
  • Agnieszka Sokołowska-Durkalec

摘要

Modern enterprises increasingly adopt Cloud Business Intelligence (CBI) systems to enhance decision-making, data analysis, and operational flexibility. AI plays a central role in these systems by enabling real-time data processing, pattern detection, and predictive insights. However, the perceived benefits of CBI may vary based on organizational characteristics, such as business profile and size. This article investigates whether these factors significantly influence how enterprises assess CBI benefits, offering insights valuable for managers and contributing to the broader discussion on Artifical Intelligence’s practical role in business analytics.