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AI TEF for Entity extraction from documents

Service description

The service aims at testing applications developed to extract structured set of information from unstructured data, such as documents and log files, in order to enrich or populate Databases, structure company knowledge and automate knowledge-intensive processes; the test bed applies artificial intelligent models based on hybrid approaches (leveraging machine learning, deep learning, regex or heuristics). This service can run on batch documents for massive ETL operations or be deployed in any integrated process to automate data extractions activities.
Expected results: Enriched database, structured company knowledge and automated knowledge-intensive processes
Methodology: Needs and Requirements Analysis; – Analysis, of Concept; – Data Preparation Pipelines, – On site Test before Invest
Target: Industrial plant and asset provider, machine learning platforms providers – Software solution provider for quality process optimization
  • Organisation: MADE
  • Type: Test
  • SUT/E: Datasets / LLM models generative AI
  • Average duration: 1 -- 6 months
  • Contact: ai-matters@made-cc.eu

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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