D1.2 summarizes the initial requirements analysis of the AI-SPRINT project. The outcome of this analysis is a list of requirements for all tools which will be evolved or developed within the project. This analysis will guide all the AI-SPRINT technical activities. The aim of AI-SPRINT (Artificial Intelligence in Secure PRIvacy-preserving computing coNTinuum) is to define a novel framework for developing and operating AI applications, together with their data, exploiting computing continuum

more »

... onments, which include resources from the edge up to the cloud. AI-SPRINT will offer novel tools for AI applications development, secure execution, easy deployment, as well as runtime management and optimization. AI-SPRINT tools will allow trading-off application performance (in terms of end-to-end latency or throughput), energy efficiency, and AI models accuracy while providing security and privacy guarantees. AI-SPRINT framework will support AI applications data protection, architecture enhancement, agile delivery, runtime optimization, and continuous adaptation. A critical success factor in the development of high quality, state of the art, software frameworks is a deep understanding of the requirements of users of the framework (e.g. developers, AI experts, service providers etc.) and of end-users of the application and services created using the framework (e.g. farmers, stroke patience, maintenance engineers etc.). The elicitation of the AI-SPRINT requirements started with the description of Personas, i.e. fictional images of typical AI-SPRINT users with their specific interests, experiences and demands. User Stories and Requirements were then formulated by looking at the AI-SPRINT from the perspective of the selected Personas. The providers of the three real-life Use Cases wrote the first draft of the requirements, the tool providers reviewed and enhanced these requirements from a more technical point of view, also keeping in mind current state of the art solutions (see deliverable D1.1). The require [...]