The application and challenges of artificial intelligence and big data in different fields

In the context of rapid digital transformation, artificial intelligence (AI) and big data have become pivotal forces reshaping decision-making processes across industries such as healthcare, finance, retail, manufacturing, and transportation. This paper investigates the integration of AI and big data, aiming to explore their combined impact on organizational efficiency and predictive accuracy. The research adopts a comprehensive literature review methodology, analyzing scholarly articles, industry reports, and real-world applications to evaluate how these technologies are applied, the challenges they present, and future directions. Through this method, the study identifies key trends in the deployment of AI-powered analytics, including predictive modeling, personalized services, and automated operations. It also addresses critical issues such as ethical concerns, data security, and scalability. The findings suggest that while AI and big data significantly enhance operational performance, their responsible implementation requires robust frameworks for fairness, transparency, and privacy protection. This study concludes by emphasizing the need for collaborative efforts among governments, academia, and industry to ensure equitable access and sustainable technological advancement.