Publication Details
Abstract
Artificial Intelligence (AI) is changing the way businesses approach data analysis and decision-making in a big way. This paper explores how AI is being applied across sectors, particularly in healthcare, and examines the benefits and challenges that accompany it. One key takeaway is that AI enhances operational efficiency and improves forecasting accuracy, making it easier for industries such as finance, retail, and healthcare to deliver personalised services. In healthcare, AI plays a crucial role in predicting patient outcomes, guiding clinical decisions, and optimising resource allocation. These advancements can lead to significantly better patient care. However, there are hurdles to overcome. Issues such as data governance, security, algorithmic bias, and organisational resistance can slow the effective implementation of AI. Additionally, ethical aspects such as transparency, accountability, and fairness are ultimately vital for ensuring AI is used responsibly. The paper stresses the importance of strong governance frameworks, committed leadership, and a workforce that is ready to adapt. These elements are necessary to ensure that AI deployment meets societal and regulatory standards. Looking ahead, AI enables organisations to transition from merely reacting to data to predicting and shaping outcomes, thereby promoting innovation and enhancing long-term competitiveness. The future of AI in business analytics hinges on responsible usage. It is crucial to balance technological progress with ethical considerations and social responsibility to create fair, sustainable value in our increasingly data-driven world.