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It’s Complicated: On Imagination, Marvin Minsky & Shawn Carter

Computers remain dependent on humans to be able to imagine & architect what the computer should & can do. And perhaps we’re not building machines to be able to do anything beyond specialized intelligence because we don’t yet have reverence for the power of imagination and all that is required to discover and execute better ideas.
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Creating Feedback Loops for Big Ideas

When executing a big idea, the need to protect it and the unpredictable chemistry of engagement leaves little room for the right people to provide deeper insights earlier in the process. The reality is that we don't know anything until we create space for enough (of the right) people to connect and engage with our ideas.
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The North Star : Make Smart Decisions Faster

As a person that develops technology solutions, your toughest challenges are rarely technical. Often it’s people, complex business rules, and dysfunctional behaviors that result in bloated, over-engineered solutions that ultimately fail. We often skip building a proper business foundation because it’s sexier to fail fast and fail often, but if you’re already under-capitalized, the best thing you can do is lay a proper foundation that allows you to simplify your decisions.
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Characteristics of Machine Learning solutions

It is estimated that 87% of data science projects never reach production. One of the pitfalls to developing a production-ready machine learning solution is the ability to define if it's an appropriate tool for solving the problem. Not every problem should be solved with machine learning.