High Signal: Data Science | Career | AI Episode 37: Engineered Intelligence and The Data Science Problem in AI
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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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.
Engineered Intelligence Combines IQ And EQ
- Engineered intelligence blends data/AI with human IQ and EQ to produce decisions.
- Jordan's three C's (curiosity, creativity, critical thinking) are required to vet AI decisions and add emotional context.
Talent Mismatch Sank Data Science Initiatives
- One big failure in data science was misaligned skills: most employees aren't data experts and many data scientists aren't business experts.
- Jordan links that mismatch to poor hiring, tool-first approaches, and unmet expectations.
