AI Sweden Maps AI Initiatives Across Municipalities with Dcipher Analytics

The Challenge

AI Sweden set out to map and analyze AI-related initiatives across Swedish municipalities. Their objectives were:

1. Identifying AI Initiatives – Understanding how municipalities were implementing AI across different service areas.
2. Enhancing Collaboration – Helping municipalities connect and learn from each other instead of working in isolation.

Manually collecting this information from local government websites, news sources, and municipal reports would have been an overwhelming and time-consuming task.

The Solution

Using Dcipher Analytics’ AI-powered research agents, AI Sweden efficiently gathered and structured data from multiple sources:

• Local newspapers across Sweden were mined to find mentions of AI-related projects.
• Local government websites were scanned for official AI initiatives.
• Municipal annual reports were automatically collected and analyzed.

Dcipher Analytics then extracted 1,008 AI initiatives from 263 of Sweden’s 290 municipalities and labeled them using large language models:

• Service areas – Categorizing initiatives by their application domains (e.g., healthcare, transportation, education).
• Technology types – Identifying the AI methods and tools used.
• Objectives – Mapping the goals of each initiative.
• Stakeholders & beneficiaries – Extracting information on key players and affected communities.

The structured data was then integrated into an interactive map of initiatives, allowing easy exploration, filtering, and analysis.

The Results

• AI Sweden created a comprehensive database of AI initiatives across Swedish municipalities.
• The structured metadata enabled detailed analysis of trends, focus areas, and gaps in AI adoption.
• The interactive map facilitated cross-municipality collaboration, helping local governments find partners working on similar AI challenges.

The Impact

By leveraging Dcipher Analytics, AI Sweden significantly reduced research time and effort, transforming a scattered landscape of AI projects into a structured, searchable knowledge base. This initiative enhanced collaboration between municipalities, helping them align efforts, share insights, and accelerate the development of AI-driven public services.

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