Data-driven organizations - Best practices for operationalization of AI in Sweden

Purpose and goal

** Denna text är maskinöversatt ** This project aims to drastically shorten the lead time to holistic, functional and scalable operationalization of AI in Swedish organizations. The project aims to accelerate the implementation of AI solutions in a robust, predictable and sustainable way in Swedish industry and the public sector. By embracing multidisciplinary collaboration, we aim to establish a holistic framework of best practices, covering business relevance, model design, governance, security, scalability and legal compliance.

Expected effects and result

** Denna text är maskinöversatt ** The project will generate a technical sandbox to test different solutions, as well as the project to provide white papers, and additions to these on specific use cases, open seminars and infrastructure-as-code templates as open source, which accelerates the Swedish AI ecosystem in how to operationalize AI services or products.

Planned approach and implementation

** Denna text är maskinöversatt ** The project is run through several parallel work packages and is coordinated by AI Sweden. The project´s parties will participate to varying extents based on interest and relevance in various activities. The supplier parties contribute by establishing a sandbox for MLops, others contribute with use cases and best practices from their operations. Results will be continuously disseminated from the project.