Efficiency in the Cloud: A Deep Dive into the Integration of Artificial Intelligence for Enhanced Performance and Scalability

A research examines the mutually beneficial interaction between artificial intelligence (AI) and cloud computing, emphasizing the transformational power of AI on performance and scalability. A collaborative filtering recommendation system was created within an e-commerce platform, showcasing the concrete advantages of combining artificial intelligence with cloud services. The findings demonstrate a notable improvement in system performance, with a 30% decrease in reaction times for the tailored suggestion generation. Scalability of the cloud was essential for effectively controlling fluctuating user activity, guaranteeing maximum use of resources during high demand and avoiding underuse during low demand. The pay-as-you-go cloud computing approach was shown to be economical, leading to a 20% decrease in infrastructure expenses during periods of high demand.The training time of the recommendation model was cut in half by using cloud resources for parallel processing. This allowed data scientists to play with more complex algorithms and more datasets. With a 50% decrease in the time it took for users to get updated suggestions, real-time decision-making skills were achieved, which raised user engagement.