Integrating Artificial Intelligence with Cloud Business Intelligence: Enhancing Predictive Analytics and Data Visualization
  • Author(s): Swetha Chinta
  • Paper ID: 1703242
  • Page: 639-650
  • Published Date: 18-11-2024
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 5 Issue 9 March-2022
Abstract

Integrating Artificial Intelligence (AI) with Cloud Business Intelligence (CBI) represents a transformative approach to enhancing predictive analytics and data visualization in the modern business landscape. This article explores the synergistic relationship between AI technologies and cloud-based solutions, highlighting their collective impact on decision-making processes. By leveraging advanced machine learning algorithms and natural language processing techniques, businesses can extract meaningful insights from vast datasets, enabling more accurate forecasting and improved operational efficiency. Furthermore, AI-driven data visualization tools facilitate the intuitive representation of complex information, making analytics accessible to a broader range of stakeholders. This paper also discusses the methodologies for integrating AI with CBI, the challenges organizations may face, and future trends shaping this domain. Ultimately, the findings underscore the potential of AI and CBI to revolutionize how businesses approach data analytics, empowering them to respond swiftly to market changes and drive strategic growth.

Keywords

Artificial Intelligence (AI), Cloud Business Intelligence (CBI), Predictive Analytics, Data Visualization, Machine Learning

Citations

IRE Journals:
Swetha Chinta "Integrating Artificial Intelligence with Cloud Business Intelligence: Enhancing Predictive Analytics and Data Visualization" Iconic Research And Engineering Journals Volume 5 Issue 9 2022 Page 639-650

IEEE:
Swetha Chinta "Integrating Artificial Intelligence with Cloud Business Intelligence: Enhancing Predictive Analytics and Data Visualization" Iconic Research And Engineering Journals, 5(9)