Many organisations, like the public sector agency, The Finnish Population Register Centre (VRK), handle tens of thousands of documents in a free text format coming from thousands of different channels. Extracting, summarising and classifying information from natural text is a critical topic for many organisations that can help save workload and improve service quality.
In this case study, you will learn:
- How AI has helped VRK to organise and classify service description documents
- How a semantic-based AI solution can automatically pick out contextually similar documents from service descriptions
- How AI-developed template can help improve the quality of the content.