As a technical founder, I’ve both built and managed the direction of ML in startups.
I’ve also made a lot of mistakes.
Many stem from treating ML as if it were software development. Others from the unstructured nature of the startup itself.
Here are a few of my learnings.
Don’t make AI your core product. Instead, complement an existing product with AI.
Solve a problem with software or hardware, sell that, then augment it later with AI. Or if you’re an AI expert, join an existing startup as a late stage cofounder.
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How (Not) To Mismanage Artificial Intelligence In A Startup. My learnings from the trenches of machine learning and early stage startups.