Written by Deep Narayan Mukherjee and Sumit Arya

By Steven Mills and Cathy Carlisi

By Steven Mills, Maximiliano Santinelli and Sean Singer

By Lexi Signoriello, Steven Mills and Johanna Benesty

How to Start a Personalization Program

When data scientists consider the topic of model validation, a few names typically come to mind, such as Adjusted R-Square, Accuracy…

Write production-level code!

Change one pixel of a photograph, and you can fool even the best computer-vision algorithms. The solution: Building models that don’t...

By Kartik Pant, Pepe Rodriguez, Olivier Bouffault, and Duane Weeks

In this article, I explore software design enhancements the Source AI team and I learned at Gamma that can maximize reproducibility…

AI and machine learning seem capable of transforming the art and science of business into a pure science. This article offers a reality…

What is the market not telling you?

Authors: C. Deperrois Grisoni, D. Galley, G. Boussac and P. Van Hentenryck

Part 2: Petrochemical wholesale pricing

How to use data augmentation methods to improve supervised NLP models

by Anni Coden

You’ve finally finished tweaking and tuning your model! You beat all reasonable (and unreasonable) baselines by an enormous margin. You…

By Jörg Schneider and Niels Degrande of BCG GAMMA Engineering

Delivering transformative analytics isn’t about being better. It’s about doing things differently.

Written by Mudit Mishra, Pavan Theja & Prateep Dasgupta

As the advent of Industry 4.0 has led to the increased adoption of sensors and other advanced monitoring tools in manufacturing facilities…

AI can result in profitable, data-based business decision making. Just make sure to avoid these two treacherous pitfalls

Let’s say your company has decided to address a business problem using data science and machine learning. You have a strong team armed…

The use of agile teams has long been a standard for software development in Big Tech. As more industries move to leverage AI and machine…