We’ve made it to Wednesday.
I’m still resolving my issues around the talk about big data. I get it. The feedback we get from smart analysis and metrics means that as brands, companies, business people, our decisions are driven by and thus thought to be much more accurate and concise, by the stories the data tells.
But what happens when that data is biased, discriminatory, or even intentionally skewed to favor a zip code, a community, or even a funding pattern?
More important, how will the future of data hold companies and systems, accountable for shifting the numbers when disproportionality is identified?
If you happen to work in the space as a data scientist, analytics guru, or just happen to have a penchant for hard numbers, let’s move the discussion along. Respond to this email with your thoughts.
Looking forward to picking your brain in the middle of the week.
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