“Data Treasure AI”: Using generative AI to tap into untapped data treasures
Project for the automated creation of training content from existing data using generative AI.
Last modified:
Project for the automated creation of training content from existing data using generative AI.
Last modified:
What it's about:
Innovative tool in research project
The challenge:
Context engineering – data preparation for generative AI agents
The support:
Development and evaluation of generative AI applications
The result:
Test-ready prototype
The Data Treasure AI research project has developed a tool that extracts and groups topics from selected PDF data,
High data quality is essential for all applications. The project analyzes unused company data and provides structured information. It addresses questions about the efficient use of data and ensuring knowledge transfer, e.g., during onboarding.
The challenges are:
Design, development, and evaluation of generative AI-based applications. Including data preparation, database, search engine, agents, and graphical user interface.
That's according to Julia Ehl, Fraunhofer Information Center for Planning and Building IRB.
The prototype developed by IESE is currently being tested with potential users. Fraunhofer IRB has already integrated the results of the project [in German] into its portfolio.