Modern Machine Learning-based Approaches to Inventory Forecasting

Optimizing inventory is a key challenge for organizations. Under-prepare for the future, and you can wind up with irate customers who frustr...
06/16/2021

Modern Machine Learning-based Approaches to Inventory Forecasting

By: Jacob Dink
Strategy, Technical, Data Science, Machine Learning, Statistics
06/03/2021

Practical Considerations for Real-World NLP

By: Juan Llanos
Strategy, NLP
05/18/2021

What to Consider When Building a Machine Learning Proof-of-Concept

By: Jacob Zweig
Strategy, Technical, Data Science, Machine Learning
05/13/2021

Observational Causal Inference with Machine Learning

By: Cory Bonn
Technical, Data Science, Statistics
04/20/2021

Endogenous Gridpoints for Tax Policy Evaluation

By: Joseph Day
Technical, Reinforcement Learning, Policy
03/11/2021

Knowledge Brief: Deploying Machine Learning Models to Production

By: Alice Li
Strategy, Case Studies, Technology & Software, Machine Learning
11/10/2020

The State of Enterprise Machine Learning

By: Brock Ferguson
Strategy, Machine Learning, Enterprise
08/26/2020

Optimizing Restaurant Inventory Using Ingredient-level Demand Forecasting

By: Joseph Day
Case Study, Case Studies, Data Science, Optimization
06/17/2020

Uncovering Bias in Machine Learning: We Can Do Better

By: Jacob Zweig
Strategy, Bias, Diversity
03/18/2020

Using Spatial Optimization to Expand the CTA

By: Mariela Perignon
News, Spatial Optimization
12/23/2019

Beyond Pattern Recognition: How to Identify and Approach Causal Questions with the Right Tools

By: Noah Salas
Technical, Data Science, Machine Learning, Statistics
12/02/2019

Designing, Building, and Shipping Machine Learning Solutions Across Industries: Three (Boring) Principles

By: Brock Ferguson
Strategy, Machine Learning, Processes