
Sign up to save your podcasts
Or
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.
4.4
612612 ratings
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.
274 Listeners
284 Listeners
152 Listeners
40 Listeners
590 Listeners
269 Listeners
141 Listeners
987 Listeners
189 Listeners
181 Listeners
192 Listeners
62 Listeners
139 Listeners
47 Listeners
63 Listeners