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Building a Data Science Laboratory
September 4 @ 5:30 pm
Imagine you want to build a laboratory for data science. It’s meant to be the engine room of your data-driven organization. In it, mad data scientists use arcane practices to predict the future and destroy the competition – well, at least that’s what management thinks. What actually needs to happen to solve data-driven problems, build successful models, etc.? What would you do to build such a lab? What would you need in terms of people, technology, infrastructure, practices, methods, processes, money, …. ?
This is an open thinking-out-loud session for everyone interested in organizing data science in real life.