In this video, Bruce Upbin from Forbes moderates a panel in NYC. Panelists include Christer Johnson from IBM, David Kuntz from Knewton, Inc., and Jake Levine from News.me.
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Industry Perspectives
Turning Big Data into better data with MLOps
In this special guest feature, Chida Sadayappan, Lead Specialist for Data Cloud and Machine Learning at Deloitte Consulting, discusses Machine Learning Operations (MLOps). This emerging discipline uses automation to accelerate ingestion of data and to more quickly develop, test, deploy, and monitor cloud machine learning (ML) models that use Big Data. Taken together, these steps comprise governance practices that help ensure the integrity of data throughout its life cycle.
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Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
This whitepaper from Imply Data Inc. introduces Apache Druid and explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.
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