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Data Science Research (CONCLUSIONS (Eynio (Click & Vision) + AI &…

- - - - https://informationisbeautiful.net/
      - https://informationisbeautiful.net/books
    - - "Data is the kind of ubiquitous resource that we can shape to provide new innovations and new insights, and it's all around us, and it can be mined very easily."
  - - - "They think algorithms are objective and true and scientific. That's a marketing trick. It's also a marketing trick to intimidate you with algorithms, to make you trust and fear algorithms because you trust and fear mathematics. A lot can go wrong when we put blind faith in big data."
      - "Algorithms don't make things fair if you blithely, blindly apply algorithms. They don't make things fair. They repeat our past practices, our patterns. They automate the status quo."
      - "What's going on? Data laundering. It's a process by which technologists hide ugly truths inside black box algorithms and call them objective; call them meritocratic. When they're secret, important and destructive, I've coined a term for these algorithms: "weapons of math destruction."
      - "So we are the ones that are biased, and we are injecting those biases into the algorithms by choosing what data we collect."
  - - - "But it doesn't have to be this way. We are not passive consumers of data and technology."
- - - - Using data to improve operational processes and boost decision-making quality may not be the most glamorous path to monetizing data, but it is the most immediate.
      - With data-based insights and clear decision rules, people can deliver more meaningful services, better assess and address customer demands, and optimize production.