Context over noise: Why raw data fails without machine-specific logic.
Mind the gap: How to align boardroom AI expectations with frontline field reality.
Deterministic intelligence: Why critical engineering needs exact cause-and-effect, not generic algorithms.
Causal vs. "best-guess" AI: Why true troubleshooting requires exact reasoning over pattern prediction.