The integration of service computing and artificial intelligence (AI) presents a compelling synergy with far-reaching implications. This abstract explores the convergence of these two technologies, highlighting their foundational concepts, challenges, and future prospects. Service computing, characterized by on-demand delivery of computing resources and services, intersects with AI, which focuses on creating systems capable of human-like intelligence. This integration fosters the development of intelligent, data-driven services that adapt and respond to user needs. Key challenges include addressing technical complexities and ethical considerations, such as data privacy and algorithmic bias. However, the future holds promising prospects, with anticipated applications ranging from autonomous systems to revolutionizing industries like finance and healthcare. To realize these opportunities, interdisciplinary collaboration and regulatory frameworks are essential to guide responsible development and deployment. Ultimately, the integration of service computing and AI offers transformative potential, shaping a more connected, intelligent, and efficient world.

Zhenzhen Liu. Service Computing and Artificial Intelligence: Technological Integration and Application Prospects. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 5: 174-179. https://doi.org/10.25236/AJCIS.2024.070523.

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