Helping Pariveda build and refine our approach to help clients leverage the power of their data to build a Modern Data Enterprise. Working with clients across industries and at every stage of the journey, building partnerships with industry leading and upcoming vendors, and training on our approach.View the profile
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Data governance teams attempt to apply manual control at various points for consistency and quality of the data. By thinking of our machine learning data pipelines as compilers that convert data into executable functions and leveraging data version control, data governance and engineering teams can engineer the data together, filing bugs against data versions, applying quality control checks to the data compilers, and other activities. This talk illustrates how innovations are poised to drive process and cultural changes to data governance, leading to order-of-magnitude improvements.
Ryan Gross, VP, Emerging Technology, Pariveda Solutions
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