Remove Data Collection Remove Gap analysis Remove Strategy
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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. The tools to do the analysis quickly and efficiently need to be understood.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

Data governance Strong data governance is the foundation of any successful AI strategy. It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. Identify gaps related to ethics, transparency, risk and compliance.