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Importance of risk analysis

The importance of risk analysis.

Yesterday, a machine learning consultant and I debated what the most crucial up front consideration for a new ML project should be.

At first, 'what are the assets?' seemed the most obvious starting point, but it isn't; unintended consequences are the most crucial thing to bear in mind when consulting for a business.

It's almost always unclear exactly how or why underlying algorithms operate the way they do so you must assess and manage expectations over possible ramifications.

Ask yourself: what are the consequences of a false prediction?

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