Currently, healthcare is being revolutionized by the incorporation of artificial intelligence (AI) into healthcare data analytics, which offers significant gains in operational efficiency, personalized treatment plans, and diagnostic precision. Artificial Intelligence’s Potential for Revolution in analysis of complex medical care data is examined in this chapter, with a focus on diagnostic analytics, prescriptive analytics, predictive analytics, and operational analytics. AI systems are able to generate valuable patterns from large and heterogeneous datasets through the use of deep learning (DL) and machine learning (ML) methods. This enables early disease detection, tailored medication, and effective resource management. Healthcare data analytics could greatly benefit from the use of AI, but it also confronts a number of difficulties. These include issues with data security and privacy, integrating disparate data sources, bias and fairness in AI models, and the interpretability of choices made using AI. This chapter also discusses benefits and challenges of AI in Data Analytics for Healthcare.