Associação Fraunhofer Portugal Research

Analysis of procedures for AI control/management, assessment of the impact of AI systems, data and model lifecycle management, and model performance monitoring. Evaluation of the organization's AI management system.

Advice and mentoring regarding software development practices, including style practices and code documentation, repository management (e.g., Git), and test management, based on insights from IEC 62304:2006.

Support and advice regarding the gathering, specification, and maintenance of requirements for software systems, whether for systems in the design phase or for systems that have already been developed.

Training in the development and production processes of Artificial Intelligence systems, considering best practices aligned with current regulations and legislation. It will cover topics such as structuring AI projects, machine learning tools, process automation, tracking and experimentation, version control, and data validation.

Support and advice on the implementation of development and production processes for Artificial Intelligence systems, considering best practices aligned with current regulations and legislation. It will cover topics such as structuring AI projects, machine learning tools, process automation, tracking and experimentation, version control, and data validation.

Identification of test cases based on a pre-existing requirements specification. Execution of integration, system, regression, or UAT (User Acceptance Tests).