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The Marie Kondo Approach: How Cryptocurrency Projects Will Lead to Clean Data
Given all the noise and chaos in the space right now a lot of you might be skeptical of what I’m about to say, but I do believe that one thing that will come out of the crypto/blockchain movement will be cleaner and more efficient data. Why? Because the ones that don’t follow good data practices will fail, and fail fast. “Fail hard and fail fast” is part of the startup world’s ethos anyway, but with crypto projects the speed of which these things happen is just that much quicker.
If you’ve ever tried to run an artificial intelligence model with bad data you’ll probably notice one thing — it doesn’t work. At all. It doesn’t matter if the AI is the smartest thing humanity has ever created — if you feed it bad information, it will make bad and nonsensical decisions as a result. The algorithm is the shiny object that everyone likes to talk about, but what makes any software model work — even for simple projects like building a personal website — is clean, reliable data. In that sense, blockchain/cryptocurrency projects are no different than the rest.
Since the vast majority of services on the Internet up until now have been given away for free (the ad-based model), most of the “effects” of bad data practices were subjective, hard to measure…and if we’re being totally honest here, not really…
