Rachel Wagner-Kaiser
Rachel Wagner-Kaiser has 15 years of experience in data and AI, entering the data science field after completing her PhD in astronomy. She specializes in building NLP and AI solutions for real-world problems constrained by limited or messy data. Rachel leads technical teams to design, build, deploy, and maintain NLP solutions, and her expertise has helped companies organize and decode their unstructured data to solve a variety of business problems and drive value through automation. Rachel is also the author of the recent book "Teaching Computers to Read" (http://amazon.com/dp/1032484357) and corresponding code companion.
Session
05-08
13:25
25min
AI Beyond English: Building Multi-Lingual and Non-English AI Solutions
Rachel Wagner-Kaiser
Room 103