Garbage In, Garbage Out? Not Anymore.
Why Agentic Systems Learn from Messy Data “Garbage in, garbage out.” It’s one of the most familiar sayings in machine learning and for traditional systems, it’s true. If your data is inconsistent, incomplete, or unstructured, your model will reflect that. That’s why so much time (and budget) is spent building data warehouses, deploying CDPs, and […]