The AI-SPRINT project, launched in 2021 and funded by the European
Commission, focuses on the development and implementation of AI applications
across the computing continuum. This continuum ensures the coherent integration
of computational resources and services from centralized data centers to edge
devices, facilitating efficient and adaptive computation and application
delivery. AI-SPRINT has achieved significant scientific advances, including
streamlined processes, improved efficiency, and the ability to operate in real
time, as evidenced by three practical use cases. This paper provides an
in-depth examination of these applications -- Personalized Healthcare,
Maintenance and Inspection, and Farming 4.0 -- highlighting their practical
implementation and the objectives achieved with the integration of AI-SPRINT
technologies. We analyze how the proposed toolchain effectively addresses a
range of challenges and refines processes, discussing its relevance and impact
in multiple domains. After a comprehensive overview of the main AI-SPRINT tools
used in these scenarios, the paper summarizes of the findings and key lessons
learned.

AI-SPRINT 项目关注跨计算连续体的 AI 应用开发与实施，在个性化医疗、维护与检查以及农业 4.0 等实际应用中取得显著科学进展，集成了 AI-SPRINT 技术并实现了实时操作，有效应对各种挑战并优化流程。