
The transition from hardware constraints to human limitations has redefined the modern data science workflow, turning cognitive friction into the industry’s most pressing efficiency problem. For decades, the primary constraint on data-driven decision-making was the raw power of the silicon chips churning through massive datasets in refrigerated server rooms. Today, however, the landscape has shifted so dramatically that the silicon










