Integrating AI, Data Science Platforms, and Psychological Safety
summary
An enterprise AI framework provides reusable backend services, mock testing, and prompt caching and runs three production applications while internal R and Python packages standardize AI calls. Integration ties Posit Workbench and Posit Connect to Azure Databricks, Unity Catalog, and the Azure Data Lake for governed data and remote compute. Team size grows from three to about 25 in three years, ceremony changes reduce meeting drag, and a Posit Connect underwriting workflow saves roughly 600 human hours per year as a measurable outcome.
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chapters (12)
- 0:00AI and psychological safety intro
- 1:26Nokia’s failure cost
- 3:16Psychological safety defined
- 4:19Google’s Project Aristotle
- 6:06Modeling team behaviors
- 7:29Sustaining team growth
- 9:18Developer alignment
- 10:00Trust through empathy
- 11:07Encouraging experimentation
- 11:49AI framework results
- 13:35Safety as team foundation
- 14:22Q&A
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