Year: 2024
Type: article
Abstract: Artificial intelligence (AI) represents a multidisciplinary field aimed at automating tasks that traditionally require human intelligence. This paper explores the evolution, methodologies, applications, and challenges of AI in the domains of data science and data analytics. Key AI techniques such as machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision are discussed, alongside their applications in various sectors including healthcare, finance, customer service, marketing, autonomous vehicles, manufacturing, and cyber security. The review also highlights current research challenges and future trends in AI and data analytics.
DOI: 10.46632/jdaai/3/3/9
Authors: M Sivamani, P Sathya, R Narmadha
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4402321325