Sep 23–26, 2019
Amy Heineike

Amy Heineike
Vice President, Product Engineering, Primer

Website | @aheineike

Amy Heineike is the VP of Product Engineering at Primer AI, where she leads teams to build machines that read and write text leveraging NLP, NLG and a host of other algorithms to augment human analysts. Previously she built out technology for visualizing large document sets as network maps at Quid. A Cambridge Mathematician who previously worked in London modeling cities, Amy is fascinated by complex human systems and the algorithms and data that help us understand them

Sessions

11:20am12:00pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Culture and Organization
Ann Spencer (Domino Data Lab), Paco Nathan (Derwen, Inc.), Amy Heineike (Primer), Pete Warden (TensorFlow)
Are you a data scientist that has wondered "why does it take so long to deploy my model into production?" Are you an engineer that has ever thought "data scientists have no idea what they want"? You are not alone. Join us for a lively discussion panel, with industry veterans, to chat about best practices and insights regarding how to increase collaboration when developing and deploying models. Read more.

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