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Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit\u2019s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in \u2018translating\u2019 information from one mode to another. Harry\u2019s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise.This episode is brought to you by the AWS Insiders Podcast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 What the modern data stack is [03:28]\u2022 Version control for data scientists [13:30]\u2022 CI/CD, load balancing and logging [20:38]\u2022 Snowflake vs. Redshift [30:10]\u2022 How tools like Looker and Tableau help monitor models [35:26]Additional materials: www.superdatascience.com/699