Predicting User Engagement Time: An Analytical Framework
Executive Summary Forecasting how long a user will stay engaged on a social platform (e.g. session length or total time in future intervals) is valuable for personalization,... Read more.
Measuring the Economic Value of AI Initiatives: A Structured Approach from Insight to Impact
Generative AI has emerged as one of the most transformative technologies of our era. Its applications now stretch across customer service, software engineering,... Read more.
When Good Features Go Bad: Finding Hidden Flaws in Product Launches
In today’s fast-evolving world of AI, the importance of product success can be easily overstated. Working for big tech companies like Amazon and Capital One,... 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.