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AI and ML: A Customer-Centric Approach to Research

About This Course

Presenters: 

  • Michael Maes, Big Data Specialist, Data Analytics Manager
  • Michaël Tandecki, AI Expert

Objectives:

  • Evaluate artificial intelligence to automate recurring processes
  • Prioritize customer-centric research
  • Explain Glossary Rationalization

Description:

One real-world issue encountered by our customers is having duplicate assets across their glossaries. This use case has been explored through the development of Gloria, otherwise known as the Glossary Rationalization portal. Michaël Tandecki demonstrates using Gloria for duplicate detection and similarity scoring. Gloria has two key features, Compare On-the-Fly and Glossary Lists. The Compare On-the-Fly feature allows you to post two definitions, in a Google Translate-like fashion. The definitions are checked for similarity and given a high/low scoring. The Glossary List feature allow the user to export a glossary from the Collibra Platform and import into Gloria to check for duplicate assets based on the definitions and/or the name. Gloria can also find duplicates across several glossaries. Once these glossaries are imported into Gloria, duplicates are detected, the user provides feedback to the results and the updated glossaries can then be re-imported back into the Collibra Platform as a CSV file.