People, Not Just Processes: Why ‘Getting Jobs Done’ Is the Future of AI-Driven Work
In today’s workplace, speed is currency. We’re expected to respond faster, serve better, and deliver more all while juggling an ever-shifting landscape of... Read more.
Deterministic Forecasting and Causal Scenario Planning: A Practical Methodology for Modern Finance that Shapes Business Decision-Making
A New Way to See Tomorrow Businesses have always looked to forecasting as a tool for navigating uncertainty, yet the methods widely used today often fall short... Read more.
Target Metric Pre-Balancing for Better Propensity Matching in Causal Models
Background: Counterfactuals and Causal Inference At its core, causal inference is about “what if” questions, what would have happened if we hadn’t done X?... Read more.
Using Propensity Score Matching to Measure Down Stream Causal Impact of an Event
Suppose a social media platform’s Ads analytics team wants to know: Does seeing a certain ad (or promoted post) cause users to convert or engage more? This causal... Read more.