Lessons learned from automating regulatory processes with data and AI
19.03. | 14:15 - 14:45 | tech.stage
Automating regulatory processes often require monitoring the model’s decision closely and supplying reasoning for them. Due to this and a general skepticism towards AI solutions, the data scientist’s choices are limited, and the project’s progress can slow down. In this talk, I will show why implementing data products in this realm still pays off, and how data collection is related to that.