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b'If you work in data science, you\\u2019re well aware of the sheer volume of high-risk, high-reward projects that are hypothetically possible. The fact that they\\u2019re high-reward means they\\u2019re exciting to think about, and the payoff would be huge if they succeed, but the high-risk piece means that you have to be smart about what you choose to work on and be wary of investing all your resources in projects that fail entirely or starve other, higher-value projects. \\n\\nThis episode focuses mainly on Google X, the so-called \\u201cMoonshot Factory\\u201d at Google that is a modern-day heir to the research legacies of Bell Labs and Xerox PARC. It\\u2019s an organization entirely focused on rapidly imagining, prototyping, invalidating, and, occasionally, successfully creating game-changing technologies. The process and philosophy behind Google X are useful for anyone thinking about how to stay aggressive and \\u201cresponsibly irresponsible,\\u201d which includes a lot of you data science folks out there.'