The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Integration of Artificial Intelligence and Machine Learning in Business Intelligence
Abstract
Integration of AI and ML in Business Intelligence represents a transformative paradigm shift, enabling organizations to automate insights, enhance predictive decision-making, and optimize strategic planning. This chapter examines methodologies for embedding AI/ML within BI through empirical research and case studies, revealing quantifiable improvements of 42% in processing efficiency and 31% in analytical accuracy. It addresses challenges in data quality, architectural scalability, and interoperability while identifying critical success factors including cross-functional collaboration and data literacy programs. The research demonstrates how successful integration serves as both catalyst and enabler for broader digital transformation, creating sustainable competitive advantage in data-driven business environments.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|