Revolutionising Predictive Analytics: A machine learning and AI perspective in cloud-based data science

Atughara John Chukwuebuka *

Staffordshire University, United Kingdom.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 24(03), 3284-3298
Article DOI: 10.30574/wjarr.2024.24.3.3824
 
Publication history: 
Received on 05 November 2024; revised on 12 December 2024; accepted on 14 December 2024
 
Abstract: 
This paper dissects the revolution machine learning (ML) and artificial intelligence (AI) have brought to using predictive analytics in cloud computing for data science. The study also outlines today’s developments in both ML and AI. It evaluates the stochastic probabilities of the challenges and opportunities, considering the courses of action available for boosting the prediction analysis. The article covers areas such as the use of ML and AI in practice, real-life examples and examples of practical application, and nowadays and in future, attachments that reflect the real-life application and effectiveness of the methods in predictive analytics. The research uses qualitative and quantitative approaches to assess AI-based solutions and suggests guidelines for developing an effective and innovative digital environment.
 
Keywords: 
Predictive Analytics; Machine Learning; AI; Cloud-Based Data Science; Data Processing; Innovation; Efficiency
 
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