
Democratizing Data with Tim Tutt, CEO and Co-Founder of Night Shift Development
Secure Talk Podcast
00:00
Machine Learning for Government
The company built a machine learning model that was designed around intent understanding, figuring out what a user actually means and then doing some entity extraction. Then we built a core engine that took the combination of the intent of what a user wants and the entities from the question that they specifically asked to build out the query That needed to be run against the data store so that we could get back and answer to them. One of the really cool parts is once that data comes back, we then figure out based on the shape of data and the type of question that a user asked, what's the best visualization for that user?
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