Transforming Data Analytics with AI for Informed Decision-Making
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Page Numbers:
196-215
Digital Object Identifier:
10.58578/ijemt.v2i3.3812
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Authors:
Taiwo Abdulahi Akintayo1, Chadi Paul2, Madumere Chiamaka Queenet3, Oluchi Anthonia Nnadiekwe4, Shittu Sarah Victoria5, Fakokunde Babatunde David6, Ogundigba Omotunde Joel7, Olowu Innocent Agada8, Egenuka Rhoda Ngozi9, Ugochukwu Ukeje Arinze10, Grace Alele Ojemerenvhie11, Adebesin Adedayo Oluwadamilola12, Chinenye Cordelia Nnamani13, Usman Wasiu Olayinka14 
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Authors retain copyright and grant the journal right of first publication.
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Abstract
This study delves into how advanced data analytics and artificial intelligence (AI) can work together to enhance decision-making processes. As we navigate today’s data-driven environment, discovering the synergy between these fields is crucial, given the growing complexity of datasets. Advanced analytical tools are essential, and AI offers exceptional capabilities in pattern recognition and automation. This research investigates how cosmbining data analytics techniques—such as Predictive Modeling, Clustering, and Trend Analysis—with AI approaches like Machine Learning and Deep Learning can improve decision-making. A key focus of the study is on making AI models more interpretable and transparent. It emphasizes the importance of ensuring that AI-driven decisions are clear and understandable. Additionally, the research addresses ethical considerations and the need for human-centered design, aiming to balance AI’s power with openness. It also strives for responsible AI use by tackling issues such as bias and promoting ethical practices in the application of advanced data analytics and AI. The study demonstrates practical applications in areas like healthcare and finance, showing how these technologies can transform personalized medicine, disease prediction, risk assessment, fraud detection, and market trend analysis. Overall, this research highlights the valuable interaction between advanced data analytics and AI, offering a guide for organizations to enhance their decision-making while adhering to ethical standards and responsible AI use.
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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.