Data Science Leadership
Eric emphasizes the importance of having officer representation in data science to align with the C suite, allowing for greater accountability and influence within the company. Pardis discusses the necessity of integrating data science with engineering, sales, and marketing to adapt to the rapid changes in product development, ensuring models reflect current features and experiments.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308
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