Episode 37: Engineered Intelligence and The Data Science Problem in AI
From High Signal: Data Science | Career | AI by Delphina
April 2, 2026 · 46 min
About this episode
Jordan Morrow discusses the transition from being data-driven to AI-enabled and the challenges organizations face in this shift.
Jordan Morrow, SVP of Data & AI Transformation at AgileOne and the "Godfather of Data Literacy," joins High Signal to discuss the shift from being "data-driven" to becoming "AI-enabled." Jordan warns that many organizations are walking into the same traps that derailed the data science era a decade ago: prioritizing expensive tooling and hype over the cultural change and literacy required to actually move the needle. The pattern is already visible: enterprise AI projects are failing at around 90%, while individuals doing shadow AI are quietly thriving. The catch is that shadow AI brings its own risks, with people feeding sensitive data into public models without governance. He argues that because AI is probabilistic rather than deterministic, the bottleneck for success has shifted from technical coding ability to a user’s ability to apply "Engineered Intelligence," a blend of machine capability and human emotional intelligence. LINKS Jordan's new book "Data and AI Skills: Gain the Confidence You Need to Succeed" (also here on Amazon ) Jordan on LinkedIn High Signal podcast Watch the podcast episode on YouTube Delphina's Newsletter
People in this episode
Host: Delphina
Guest: Jordan Morrow
Topics covered
- data literacy
- AI transformation
- enterprise AI
- shadow AI
- cultural change
- Engineered Intelligence
Keywords
- data science
- AI
- data-driven
- AI-enabled
- shadow AI
- probabilistic AI
- data literacy
Mentioned in this episode
Organizations: AgileOne
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