Why UX should guide AI
If we need to learn one thing about the numerous AI applications around us today, it is that they are
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algorithms
Building AI that doesn’t give your users ‘algorithmic fatigue’
Consumers today are more AI-savvy than you think. Customers use their best interaction experience in one domain as a baseline
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Understanding dimensionality reduction in machine learning models
Machine learning algorithms have gained fame for being able to ferret out relevant information from datasets with many features, such
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Why Microsoft’s new AI acquisition is a big deal
Microsoft’s recent shopping spree reached a new climax this week with the announcement of its $19.7 billion acquisition of Nuance,
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Bounding your ML models: Don’t let your algorithms run wild
The purpose of designing and training algorithms is to set them loose in the real world, where we expect performance
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