What does Einstein Knowledge Creation specifically draft based on?

Einstein Knowledge Creation is designed to analyze and draft knowledge articles based primarily on customer interactions and conversations. This reflects its purpose of automating the knowledge management process and ensuring that knowledge is relevant and directly linked to real customer inquiries and issues.

By focusing on customer conversations, Einstein can derive insights and trends that are valuable for creating support documentation or knowledge articles. The system can identify frequent questions, sentiments, and other contextual information from these interactions, which ultimately assist in crafting accurate and helpful responses for future customer queries. This alignment with customer needs is crucial in improving customer service and support efforts.

The other choices do not hold the same level of relevance in relation to the application of Einstein Knowledge Creation. Internal memos and manual data entries may not provide the dynamic, real-time insights needed for knowledge creation, while case classification data, while useful, is more about categorizing issues rather than drafting comprehensive knowledge articles.