Sep 23–26, 2019
Sandra Carrico

Sandra Carrico
Vice President, Engineering and Chief Data Scientist, GLYNT

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Sandra Carrico is the vice president of engineering and chief data scientist at GLYNT, where she leads the software development team, ensuring rapid iteration and releases using agile software development. She invented WattzOn’s GLYNT machine learning project, which extracts data trapped in complex documents, and she invented mixed formal learning, which is used in the GLYNT machine learning product. Previously Sandra was vice president of engineering at a number of startups and has been in engineering management at AT&T Labs and Aurigin.

Sessions

1:15pm1:55pm Thursday, September 26, 2019
Location: 1A 12/14
Sandra Carrico (GLYNT)
Sandra Carrico explores 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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