New times: From Data for AI to AI for Data

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?