High Signal: Data Science | Career | AI Episode 37: Engineered Intelligence and The Data Science Problem in AI
32 snips
Apr 2, 2026 
Jordan Morrow, SVP of Data & AI Transformation and known as the 'Godfather of Data Literacy,' explains the shift from data-driven to AI-enabled organizations. He discusses how AI literacy matters more than tooling. Topics include Engineered Intelligence blending technical and emotional skills, risks of shadow AI and hallucinations, and why tailored use cases beat generic models.
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AI And Data Are The Same Decision Problem
- AI is not replacing data; both boil down to using data to make smarter decisions.
- Jordan emphasizes skills, enablement, and contextual application as the real determiners of success with AI and data.
Literacy Means Understanding Probabilistic AI
- Literacy now means understanding probabilistic behaviour and applying AI contextually, not necessarily coding.
- Jordan stresses that people must know when AI is appropriate and how to check outputs rather than just prompt.
Learn AI By Iterating With Prompts
- Learn by experimenting with models and iterating on prompts rather than waiting to master backend mechanics.
- Jordan recommends starting, observing failures, stepping back, and refining prompts to improve outcomes.
