Sep 23–26, 2019
Sandra Carrico

Sandra Carrico
VP Engineering and Chief Data Scientist, Glynt.ai

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As Vice President of Engineering, Sandra leads WattzOn’s software development team, ensuring rapid iteration and releases using agile software development. Previously Sandra was VP of Engineering at a number of startups. She has also been in engineering management at AT&T Bell Labs, Aurigin and AT&T Labs.

As Chief Data Scientist, Sandra invented WattzOn’s GLYNT machine learning product, which extracts data trapped in complex documents. She is also the inventor of Mixed Formal Learning, which is used in the GLYNT machine learning product.

Sessions

1:15pm1:55pm Thursday, September 26, 2019
Location: 1A 12/14
Secondary topics:  Text and Language processing and analysis
Sandra Carrico (Glynt.ai)
This talk motivates mixed formal learning, explains it and outlines one machine learning example that previously used large numbers of examples and now learns with either zero or a handful of training examples. It maps apparently idiosyncratic techniques to Mixed Formal Learning, a general AI architecture that you can use in your projects. Read more.

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