NLP or How to Connect Thousands of Users to Data

on YouTube ↗49m

" summary

Presentation explores using NLP to connect thousands of users to data by building natural-language access to datasets and analytics. It covers technologies and approaches for turning user queries into data queries (NLP pipelines, intent/entity extraction, query generation) so nontechnical users can retrieve and analyze data at scale.

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" chapters (18)

1. 0:00NLP and data access
2. 3:04Thousands of users to data
3. 6:42Text interface origins
4. 10:17Natural language principles
5. 12:03ML vs grammars
6. 15:13First prototypes
7. 16:39Grammar engine flexibility
8. 18:24Handling typos synonyms
9. 20:52Service architecture integration
10. 22:36ML for intent recognition
11. 24:43Adoption results accuracy
12. 26:48Telegram demo
13. 33:01Use cases and benefits
14. 37:12Grammars beat ML
15. 38:15Q&A: BI tools
16. 40:47Q&A: build vs buy
17. 43:11Q&A: limitations
18. 47:58Conclusion

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