Your AI Model Isn’t Broken. Your Data Is

Poor data quality, not flawed models, causes most AI failures like recommendation engines suggesting unavailable products or fraud detection flagging legitimate transactions. Instead of spending months building custom data cleaning solutions, developers can use existing APIs like Melissa's verification services to clean addresses, phone numbers, and emails, with teams reporting 31% better clustering accuracy and 44% fewer false positives after implementation.