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One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side effect is reducing ad-hoc data analysis requests that often strain data teams.
Sarah Nagy is the Co-founder and CEO at Seek which is using natural language processing to change how teams work with data. She joins the podcast to talk about the platform and providing a natural language interface to databases.
Please click here to see the transcript of this episode.
Sponsorship inquiries: [email protected]
The post LLMs for Data Queries with Sarah Nagy appeared first on Software Engineering Daily.
By Podcast Archives - Software Engineering Daily4
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One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side effect is reducing ad-hoc data analysis requests that often strain data teams.
Sarah Nagy is the Co-founder and CEO at Seek which is using natural language processing to change how teams work with data. She joins the podcast to talk about the platform and providing a natural language interface to databases.
Please click here to see the transcript of this episode.
Sponsorship inquiries: [email protected]
The post LLMs for Data Queries with Sarah Nagy appeared first on Software Engineering Daily.

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