Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Amy Heineike

Amy Heineike
Vice President, Product Engineering, Primer

Website | @aheineike

Amy Heineike is the vice president of product engineering at Primer, where she leads teams to build machines that read and write text leveraging natural language processing (NLP), natural language generation (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

9:35–9:50 Wednesday, 10 October 2018
Why we built a self-writing Wikipedia
Impact of AI on Business and Society
 Location: King's Suite
Secondary topics:  Text, Language, and Speech
Amy Heineike (Primer)
Human-generated knowledge bases like Wikipedia have excellent precision but poor recall. Amy Heineike explains how Primer created a self-updating knowledge base that can track factual claims in unstructured text and describe what it learns in human-readable text. Read more.
14:35–15:15 Thursday, 11 October 2018
Natural language processing, understanding, and generation
Models and Methods
 Location: King's Suite - Balmoral
Secondary topics:  Financial Services, Media, Marketing, Advertising, Text, Language, and Speech
Amy Heineike (Primer)
Average rating: ***..
(3.67, 3 ratings)
When building natural language processing (NLP)-based applications, you quickly learn that no single NLP algorithm can handle the wide range of tasks required to turn text into value. Amy Heineike explains how she orchestrates natural language processing, understanding, and generation algorithms to build text-based AI applications for Fortune 500 companies. Read more.