So Your Company Wants to Do AI?

Seasoned advice from industry veteran Eder Santana to those thinking about heading off the AI division at their company. TLDR:
1.  Don’t let data leave your engineers hanging: make it easy to access, load and use data, don't make this a bottleneck for your engineers

2. Start with something you can visualize: use something like Tensorboard to explore and get a feel for the data and your models.

3.  Define your validation/hard cases dataset early on: make sure you are clear on how you measure performance, think deeply about validation

4. Premature scaling is the main reason of death of early stage startups: an old lesson given new relevance by the hardware demands of deep learning, only scale up infrastructure if absolutely necessary


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