Problems
What will AGI do for Map Messy Ingestion Data?
B2B software platforms and enterprise data teams ingest constant streams of unstructured or semi-structured data from customers, vendors, and legacy systems. This inbound data arrives with unpredictable schema variations, mismatched column headers, mixed data types, and nested fields. Data engineers and onboarding specialists spend vast amounts of time manually mapping these idiosyncratic external formats to strict internal databases.