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?
AI helps you simplify data integration by taking over repetitive, manual tasks like mapping fields, spotting duplicates, and cleaning messy data. Overall, it optimizes steps involved in the ETL process i.e data extraction, transformation and loading.