Behind the Data
Ethics, critical thinking and disambiguation in data
Translating complexity into clarity: ethics, alignment, and the human side of data
Building resilient data pipelines for sensitive, high-impact use cases
Building high-volume, high-stakes, real-time data pipelines
How data superheroes use data modeling, AI and Snowflake Cortex
Automating the mundane, liberating the humans
The interaction between data, goal selection and rigorous analysis
Bringing a human perspective to data integration, mapping and AI
Building a vision and roadmap for data strategy projects