Human should convert unstructured text to a format that systems can utilize in the process. Is this statement true?

The statement is true because converting unstructured text into a structured format is a fundamental task in automation and data processing. Unstructured text, such as emails, chat messages, or free-form documents, lacks a specific format or organization that systems can directly use. Therefore, manual intervention or specialized software is often required to analyze and convert this text into a structured format, like tables or databases, that can be effectively processed by various systems.

This conversion process enables better data management and makes it easier for systems to extract meaningful insights. For instance, natural language processing (NLP) techniques can help in identifying key elements in the unstructured text and organize them in a way that automation tools can utilize effectively, thus enhancing efficiency and accuracy in data handling and operational workflows.