Remove Data Collection Remove Gap analysis Remove Measurement
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What’s the Difference: Quantitative vs Qualitative Data

Alation

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Some examples of quantitative data include: Counts or units, stored as raw numbers.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. Assessment and gap analysis Amazon faced scrutiny when its AI-powered recruiting tool was found to exhibit bias against women. Steps to develop and implement an AI policy 1.