"Industry 4.0: Leveraging AI-Powered Big Data Analytics for Superior Decision-Making"

Abstract

The intersection of Artificial Intelligence (AI) and Big Data represents a crucial advancement in the age of digital transformation, fundamentally altering industries and fundamentally transforming organisational operations. Artificial Intelligence (AI) has the ability to perform sophisticated data analysis and predictive modelling. This allows for the extraction of valuable insights from large datasets, leading to better informed decision-making and promoting innovation in various industries. This paper provides a thorough examination of the mutually beneficial connection between Artificial Intelligence (AI) and Big Data. It emphasises important approaches and technologies, including data mining, natural language processing, and neural networks, that enable this integration. The suggested technique exhibits substantial enhancements in predicting performance, with an accuracy rate of 95.6%. The evaluation metrics indicate a mean absolute error (MAE) of 0.401 and a root mean square error (RMSE) of 0.206, highlighting the success of the approach. These measurements demonstrate the method's accuracy and dependability in practical scenarios. This paper explores practical applications and case studies in several sectors such as healthcare, banking, retail, and transportation, illustrating the significant influence of AI-powered Big Data analytics. The topic encompasses ethical considerations and challenges, such as data privacy, algorithmic bias, and the imperative for openness, to ensure the responsible and fair use of these technologies.