Measurement, feedback, evaluation, iteration, and learning what to do next.
This post is based on my talk at North Star AI 2019 [https://aiconf.tech/]. When I speak about automation in general, and the Automation team at Veriff, I mean it in a specific sense of the word. Building software to perform typically-human tasks… whose solutions usually cannot be perfectly described in code. An example of an automation task
This is a talk I gave at a Zen of Data Teams [https://www.meetup.com/Machine-Learning-Estonia/events/260081030/] event in Tallinn. The full slides are here [https://github.com/taivop/talks/blob/master/files/loops_of_building_algorithmic_products.pdf] . My talk starts at 50:53. The two loops of building algorithmic productsThe two loops of building
