OwlDQ: Fast-track your AI initiatives with Predictive Data Quality with OwlDQ

Kirk Haslbeck, Founder and CEO, Owl-Analytics.com (OwlDQ)
Brian Mearns, Co-Founder, OwlDQ

Abstract:
OwlDQ is leading the way using AI for data quality. Data quality is no longer about how fast humans can write rules reactively to new data scenarios. With OwlDQ it is about how fast a machine can learn from raw data using unsupervised techniques and discover deep insights. It is a well-known fact that all mature data pipelines, the ones that businesses use to services their production applications need data quality controls. Traditionally the way to achieve this is to go one column at a time defining rules and conditions that you believe to be true. What OwlDQ is really after the simple mechanism that can learn from examples of good data and alert us when things are wrong. In this talk you will learn how customers are using OwlDQ in accelerating their ML/Advanced data analytics projects by reducing the financial risks.

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