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Paige Roberts

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Architecting for Speed & ScaleData Summit 20252025-05-13
Argues for a data integration hub that uses an in-memory data grid for real-time inference and SSD/iceberg archives for long term reconciliation rather than…
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Shorten the Path to Production with In-Database Machine LearningBig Data Conference Europe 20222022-11-23
Claims are concrete: Nimble Storage builds Infosight with in-database ML and HPE acquires it after 3× engineer productivity and 86% of cases auto-resolved…
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In-Database Machine Learning with JupyterData Con LA 20212021-09-17
Shows a Jupyter + Python workflow that keeps data and compute inside an MPP analytical database using verticaPy to run joins, interpolation and training…
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Unifying AnalyticsData Con LA 20202020-10-23
Claim: unify data lake and warehouse so BI and ML run on the same platform and avoid duplicate ETL. Implementation examples: Uber and The Trade Desk move raw…
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Python + MPP Database = Large Scale AI/ML Projects in Production FasterGlobal Artificial Intelligence Conference 20202020-10-20
Shows that you can take Python ML into an MPP analytical database and move from prototype to production in minutes not months, using Vertica and the open…
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