# How can we improve the accuracy of AI session summaries?

I've been using RingCentral Events AI for summarizing virtual sessions, and while it's quite helpful, I've noticed that it sometimes overlooks significant attendee questions or misinterprets the responses from speakers. I believe that enhancing the system's ability to identify speakers more accurately and recognize context could greatly improve the quality of the summaries. This would not only make the summaries more precise but also lessen the manual review workload for event teams. Has anyone else experienced similar issues or have suggestions for improvement?

##### Post Metadata
- Posted at: 3 days ago
- Author title: Software Engineer at Deloitte 
- Net upvotes: 1


## Comments
### Comment 1

You are right

##### Comment Metadata
- Posted at: 3 days ago
- Author title: DevOps Engineer At Tech Mahindra




## Related Product
[RingCentral Events](https://www.g2.com/products/ringcentral-events/reviews)

## Related Category
[Virtual Event Platforms](https://www.g2.com/categories/virtual-event-platforms)

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