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講演枠
Tuesday, Jun 9, 2pm - 2pm
Get sh*t done - or how I learned to deploy machine learning and avoid the POC graveyard
Oskar Eriksson
AI has been (over)promising for a pretty long time. There is a variety of reasons for the delay in delivery, such as an obsessive-compulsive relationship to cleaning data, an overly academic idea of having a "lab" do "prototypes", and an enormous challenge in getting the AI you build to scale, both in terms of size of data as well as over time. In this session we'll cover some ideas on how to get your AI to work on a large scale.