Which scenario uses machine learning to unlock business value from unstructured data?

Tabular records of product defects are structured data stored in rows and columns with a defined schema, not unstructured data.

Purchase history used for product recommendations is structured transactional data stored in databases with defined fields, not unstructured data.

Financial transaction records are structured data with defined fields such as amount, timestamp, and account number, not unstructured data.

Voice recordings are unstructured data because they lack a predefined schema or tabular format, requiring ML models such as speech-to-text and natural language processing to extract meaning. Sentiment analysis on call center recordings represents using ML to derive business insights from this unstructured audio data. The other scenarios all rely on structured, tabular data sources.