Data-driven organizations - Best practices for operationalization of AI in Sweden
| Reference number | |
| Coordinator | Lindholmen Science Park AB - AI Sweden |
| Funding from Vinnova | SEK 14 999 304 |
| Project duration | April 2024 - December 2025 |
| Status | Ongoing |
| Venture | Advanced digitalization - Enabling technologies |
| Call | Advanced and innovative digitalization 2024 - first call for proposals |
Important results from the project
Goals were met via five use cases (AIAppOps, SAIL, etc.) and 30+ publications and videos. Technically, MLOps setup in 6–18 weeks is feasible, though organizational maturity is the main challenge. Significant economic benefit was achieved; one partner estimated 150 MSEK in savings. Public sector guidance on digital sovereignty was provided. A permanent testbed, new frameworks, and training now strengthen the ecosystem, drive business, and improve efficiency.
Expected long term effects
The project strengthens Swedish competitiveness by adapting new and proven methods for scaling AI. The Data Factory testbed and public training initiatives help close the national skills gap. AI Sweden manages the publication bank to help transition from "PoC graveyards" to sustainable AI operations. Guidance on digital sovereignty provides the foundation for secure AI use and increased innovation capacity.
Approach and implementation
Implementation was based on identifying shared challenges , addressed through joint work sessions and workshops for use cases with stakeholders, suppliers, and academia. Results underwent continuous review by both project participants and external parties to ensure concrete progress. The methodology fostered iterative learning and resulted in implementable solutions. Documentation, a final conference, and established communities ensure the project´s results and knowledge live on.