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Transparent data science, profitable AI, and what\u2019s missing from a data science education: Pandata\u2019s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how \u201cinsights\u201d can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 What an Executive Data Scientist in Residence is [05:27]\u2022 What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]\u2022 How companies can ensure they profit from AI projects [36:47]\u2022 Possible organization structures for data science teams to be profitable [1:02:41]\u2022 The current gaps in data science education [1:09:58]\nAdditional materials: www.superdatascience.com/655