Articles
Digital transformation should be broad in scope. It requires a change in the vision held by the organization and a good deal of culture change.
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Getting one’s data house in order is not easy. But the work is valuable for your enterprise and business counterparts.
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Data makes everything easier. Conducting a systematic data assessment gives insight into where an organization stands in managing its information.
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Training data is the textbook your model will learn from, so data quality is absolutely crucial to any AI project.
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How to fix the growing data integrity problem.
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Marketers who want better match rates should focus on improving the accuracy of the user data input into systems and the precision of data output.
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Difficulties with the data ingestion process can bog down data analytics projects. Here are some best practices that can help data ingestion run more smoothly.
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