Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Laura Froelich

Laura Froelich
Data Scientist, DHI Water & Environment

Laura Froelich is a data scientist at DHI, where she’s dedicated to using data to discover patterns and underlying structures to enable optimization of businesses and processes, particularly through deep learning methods. Previously, she worked on a large variety of projects covering industries spanning life sciences to the energy industry at Teradata and was part of a research group investigating nonspecific effects of vaccines using survival analysis methods. Laura earned her PhD from the Technical University of Denmark. For her dissertation, Decomposition and Classification of Electroencephalography Data, Laura used unsupervised decomposition and supervised classification methods to research brain activity and developed rigorous, interpretable approaches to classifying tensor data.

Sessions

16:3517:15 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Capital Suite 7
Secondary topics:  AI, Deep learning
Level: Beginner
Laura Froelich (DHI Water & Environment)
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Laura Frolich explores applications of deep learning in companies—looking at practical examples of assessing the opportunity for AI, phased adoption, and lessons going from research to prototype to scaled production deployment—and discusses the future of enterprise AI. Read more.