Readiness for Machine Learning – Data, Tools, People, and Process


While many organizations are experimenting with machine learning in various corners of the organization, many are asking how to create something more robust. “How do we move from small, one-off experiments to something more repeatable and scalable?”. In this webinar, we’ll present a point-of-view on the critical elements and capabilities your organization will need to get there.


  • Phil Daniels, VP, Data Ops and Analytics Platforms, Indegene

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