How exactly does AI make data integration more efficient and reliable? With so many data sources, formats, and inconsistencies, traditional methods can be slow and error-prone.
Can AI really automate mapping, deduplication, and data cleaning?
And how accurate are these AI-driven decisions when dealing with large-scale, messy enterprise data across systems and departments?