data science

The best way to Automate Workflows with AI

of most developers’ work. We use tools resembling Cursor, Windsurf, OpenAI Codex, Claude Code, and so forth, to turn into way more productive at work. Nevertheless, from discussions with people working in non-technical...

“The success of an AI product relies on how intuitively users can interact with its capabilities”

You call your “AI Strategy Playbook” a set of mental models that help teams align on what to construct and why. Which models most frequently unlock clarity in executive rooms, and why do they...

LLM-Powered Time-Series Evaluation

data all the time brings its own set of puzzles. Every data scientist eventually hits that wall where traditional methods begin to feel… limiting. But what if you happen to could push beyond those limits...

Power Evaluation in Marketing: A Hands-On Introduction

Show code library(tibble) library(ggplot2) library(dplyr) library(tidyr) library(latex2exp) library(scales) library(knitr) Over the past few years working in marketing measurement, I’ve noticed that is one of the vital poorly understood testing and measurement topics. Sometimes it’s misunderstood and sometimes it’s not applied in...

Evaluating Synthetic Data — The Million Dollar Query

synthetic data generation, we typically create a model for our real (or ‘observed’) data, after which use this model to generate synthetic data. This observed data is often compiled from real world experiences,...

AI Papers to Read in 2025

with my series of AI paper recommendations. My long-term followers might recall the 4 previous editions (, , , and ). I’ve been away from writing for quite a while, and I couldn’t...

The Pearson Correlation Coefficient, Explained Simply

construct a regression model, which implies fitting a straight line on the information to predict future values, we first visualize our data to get an idea of the way it looks and to...

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