The Role of Artificial Intelligence in Big Data Analysis and Its Impact on Advancing Scientific Research

The Role of Artificial Intelligence in Big Data Analysis and Its Impact on Advancing Scientific Research from the Perspective of Faculty Members at the Higher Institute of Medical Sciences and Technologies in Al-Zahra

Salah Mohammed Younis Abu Zaid

Faculty Member at the College of Physical Education and Sports Science, Al-Jafara University

Email: salah1973@gmail.com

Summary                                                                                                                           

This study aims to evaluate the role of artificial intelligence (AI) in big data analysis and its impact on advancing scientific research from the perspective of faculty members. Specifically, it seeks to: analyze AI’s role in big data processing within scientific research, assess its influence on improving the quality and speed of research, and identify the challenges and opportunities associated with its application in academia. 

The researcher adopted a descriptive survey methodology, aligning with the nature of the research title, objectives, and hypotheses. The study sample consisted of 50 faculty members from the Higher Institute of Medical Sciences and Technologies in Al-Zahra, who were surveyed using a structured questionnaire. The collected data were statistically processed and analyzed, yielding the following key findings: AI plays a positive and effective role in big data analysis, providing advanced tools for faster and more accurate data processing.  AI contributes to extracting patterns and trends from big data, enhancing the efficiency of scientific research. However, the high cost of AI implementation remains a major challenge that needs addressing.  AI improves the quality and speed of scientific research by accelerating discoveries and enhancing result accuracy.  Despite challenges, AI offers significant opportunities to boost research efficiency if these obstacles are overcome. Based on the findings, the researcher recommends; 

Research institutions and universities should invest in the necessary technological infrastructure to support AI-driven big data analysis.    High-performance computing resources (e.g., cloud computing) should be provided to facilitate big data processing.        

Specialized training programs should be designed for faculty and researchers to enhance their AI tool proficiency.   Collaboration between academic institutions and tech companies should be encouraged to offer hands-on training opportunities.                                                      Policies and procedures should be developed to ensure the quality of data used in scientific research.                                                                                                        

Keywords: Artificial Intelligence, Big Data Analysis, Scientific Research, Faculty Members.