Modern Times: From Data for AI to AI for Data [English spoken]

We are used to managing data before deploying AI: carefully collecting, cleaning and structuring it. But that is changing. AI now helps to improve data itself: automatically enriching, validating, integrating and documenting it. We are moving from static management to dynamic improvement: AI brings data to life and changes how we deal with it.

Topics and discussion points:

  • Data becomes a living, self-learning system through AI.
  • Errors and missing data can be automatically detected and corrected.
  • Data sources will soon merge automatically.
  • Classification, documentation and compliance are increasingly supported in real time.
  • The promise of less manual work seems within reach, but how far are we really from achieving it?