Machine Learning Models in a Dynamic Environment

Isabel Drost-Fromm

Thursday 13:25 in Zeiss Plenary (Spectrum)

"Collect data, choose an algorithm, train a model to match your target metric and deploy to production." ... sounds easy enough.

But what if user behaviour changes after the model was deployed? What if the deployment of the model itself causes a change in user behaviour?

This talk will look at examples for models changing user behaviour. In the interactive part the talk will collect stories from the audience.

Isabel Drost-Fromm

Isabel Drost-Fromm was up to recently the Chair of the board of directors of the InnerSource Commons Foundation, as well as (former board) member of the Apache Software Foundation. Interested in all things search and text mining with a thorough background in open source collaboration, she is working at Europace AG as Open Source Strategist. True to the nature of people living in Berlin she loves giving friends a reason for a brief visit - as a result she co-founded and is still one of the creative heads behind Berlin Buzzwords, a tech conference on all things search, scale and storage and FOSS Backstage.