Stereotypes create a “believing is seeing” situation where people distort reality to fit their biased view of a given group.
To resolve such bias, create transparency around who contributes what and how, so that actual performance is quantified fairly and visible.
Popular tech collaboration platforms like Slack, Dropbox, and Zoom unobtrusively capture real-time performance information that can be mined with AI to reveal unprecedented windows into the drivers of organizational performance: who leads thinking around a specific project, resolves key problems, and so on.
What is Artificial Intelligence? Who knows. It’ s an ever-moving target to define what is or isn’t AI. So, I’d like to dive into a science that’s a little more concrete — Computational Intelligence (CI). CI is a three-branched set of theories along with their design and applications. They are more mathematically rigorous and can separate you from the pack by adding to your Data Science toolbox. You may be familiar with these branches — — Neural Networks , Evolutionary Computation , and Fuzzy Systems . Diving into CI, we can talk about sophisticated algorithms that solve more complex problem
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