What is a limitation of Generative Conversation Insights?

The limitation of Generative Conversation Insights that is correct is that these insights require high-quality transcripts. For generative AI applications to analyze and generate accurate insights, the data provided (in this case, transcripts of conversations) needs to be clear and of high quality. This ensures that the AI algorithms can effectively interpret the context, nuances, and specific phrases used in the discussions. Poor-quality transcripts, which may include background noise, incomplete sentences, or inaccuracies, can lead to misleading or incorrect insights, affecting the overall effectiveness of the analysis.

Other factors, like compatibility with different Salesforce experiences or language preferences, while they could represent limitations in certain contexts, do not directly relate to the core requirement for high-quality data within the generative insight process. The mention of supporting only specific formats or languages, such as encouraging broader language support or compatibility with various Salesforce interfaces, does not capture the primary dependency on the quality of the input data.