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Ava: From Data to Insights Through Conversation

Summary: Introduces Ava, a chatbot that uses controlled natural language to let data scientists assemble templatized analytics pipelines, bridging natural-language business intents and executable workflows. Demonstrates a proof-of-concept showing practicality of constrained-NL plus templates to speed data-science tasks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
311
Venue
CIDR
Year
2017
Pagerank
7.4571963e-05
Overall Rank
3,381 | 76.81%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{john_cidr17,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '17},
        title = {{Ava: From Data to Insights Through Conversation}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {John, Rogers Jeffrey Leo and Potti, Navneet and Patel, Jignesh M.},
        year = {2017}
}

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