Abstract :
Abstract The integration of Artificial Intelligence (AI) and Machine Learning (ML) into cloud computing has presented a myriad of opportunities for revolutionizing healthcare IT solutions. This paper explores the potential of AI and ML algorithms in enhancing the efficiency, accuracy, and accessibility of healthcare services through cloud-based platforms. It examines the challenges and concerns related to the environmental impact of cloud computing and proposes strategies to mitigate carbon footprints. Furthermore, the paper discusses the deployment of intelligent algorithms for strategic employee performance analysis and dynamic inventory management in healthcare settings. Through case studies and examples, it illustrates the transformative impact of AI-powered solutions in optimizing marketing strategies, medical device software, and mobile applications in the healthcare sector. By leveraging AI and ML technologies in cloud computing, healthcare organizations can improve patient outcomes, streamline operations, and drive innovation in the digital era.
Keyword :
Keywords: AI, Machine Learning, Cloud Computing, Healthcare IT, Environmental Impact, Carbon Footprint, Strategic Employee Performance Analysis, Dynamic Inventory Management, Medical Device Software, Mobile Applications, Marketing Strategies, Healthcare I