Super Data Science: ML & AI Podcast with Jon Krohn cover image

545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell

Super Data Science: ML & AI Podcast with Jon Krohn

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Discussion on Data Observability Platforms and Hiring Criteria for Tech Roles

Exploring the significance of data observability platforms like Monte Carlo in monitoring data issues and the setup of experimental infrastructure for model testing. The chapter also shares insights on tech leadership, hiring criteria for software engineers and data scientists, and the balance of soft and hard skills in candidates.

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