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Its not a choice between better data or better models. The future of AI demands both, but it starts with the data. Why DataQuality Matters More Than Ever According to one survey, 48% of businesses use big data , but a much lower number manage to use it successfully. Why is this the case?
This time-consuming, labor-intensive process is costly – and often infeasible – when enterprises need to extract insights from volumes of complex data sources or proprietary data requiring specialized knowledge from clinicians, lawyers, financial analysis or other internal experts.
This time-consuming, labor-intensive process is costly – and often infeasible – when enterprises need to extract insights from volumes of complex data sources or proprietary data requiring specialized knowledge from clinicians, lawyers, financial analysis or other internal experts.
Valuable data, needed to train models, is often spread across the enterprise in documents, contracts, patient files, and email and chat threads and is expensive and arduous to curate and label. Inevitably concept and datadrift over time cause degradation in a model’s performance.
Valuable data, needed to train models, is often spread across the enterprise in documents, contracts, patient files, and email and chat threads and is expensive and arduous to curate and label. Inevitably concept and datadrift over time cause degradation in a model’s performance.
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