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Bringing an AI Product to Market

O'Reilly Media - Ideas

Work with senior management to design and align on appropriate metrics, and make sure that executive leadership agrees and consents to using them before starting your experiments and developing your AI products in earnest. This is only one example of why rapid prototyping is important for teams building AI products.

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How to find product-market fit with the right startup tools

CircleCI

Think back to those three other teams building your same idea. Your only strategy at this point is to be wrong as fast as humanly possible (ideally faster than those other teams) so that you can find out what right is and start building the right thing. You’re wrong about something in your business. They’re wrong too.

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#define CTO OpenAI

Greg Brockman

I didn’t know much about machine learning research, and he didn’t know much about engineering and team building, but we were each impressed with the others’ accomplishments and wanted to learn from each other. This struck me as the right way to run a project to build AI. OpenAI team retreat in early October 2016.