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7 Stories Behind the World’s Most Popular Machine Learning Algorithms

7 Stories Behind the World’s Most Popular Machine Learning Algorithms

The world of AI/Machine Learning is evolving fast. If you’re like me, keeping up with the latest developments can seem like trying to reach…
Go to the profile of Sithan Kanna
Sithan Kanna
Understanding Probability When Data is Scarce

Understanding Probability When Data is Scarce

Iman Karimi is a Project Leader and Lead Data Scientist at BCG Gamma, based in London. He has a PhD in risk management as well as an MBA in…
Go to the profile of Iman Karimi
Iman Karimi
Cracking the AI Paradox

Cracking the AI Paradox

By Philipp A. Gerbert, Senior Partner & Managing Director at BCG
Go to the profile of BCG GAMMA editor
BCG GAMMA editor
Using deep learning to predict not just what, but when

Using deep learning to predict not just what, but when

Deep learning/machine learning/AI is increasingly being used in business to predict customer behavior such as purchasing. In addition to…
Go to the profile of Arun Ravindran PhD
Arun Ravindran PhD
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Why biopharma manufacturing needs to leverage network optimization techniques via data science

Why biopharma manufacturing needs to leverage network optimization techniques via data science

Despite large R&D budgets, the life sciences industry has been slow to adopt innovative technologies such as analytics and data science…
Go to the profile of Jonathan W. Lowe
Jonathan W. Lowe
Staying on Course: Data Workflows are Your Friend

Staying on Course: Data Workflows are Your Friend

by Joerg Schnitzbauer and Lukasz Bolikowski
Go to the profile of Joerg Schnitzbauer
Joerg Schnitzbauer
“The Impact of Artificial Intelligence Is Also Societal”

“The Impact of Artificial Intelligence Is Also Societal”

Sylvain Duranton,Global Leader for BCG GAMMA interviewed by Florent Vairet (Les Echos Executive)
Go to the profile of BCG GAMMA editor
BCG GAMMA editor
Shuffling Paragraphs: Using Data Augmentation in NLP to Increase Accuracy

Shuffling Paragraphs: Using Data Augmentation in NLP to Increase Accuracy

While data augmentation is increasingly being used in machine learning to train models to classify images, when it comes to natural…
Go to the profile of Emilio Lapiello
Emilio Lapiello
Deriving true probability from an ensemble classifier

Deriving true probability from an ensemble classifier

This article is co-signed with Antti Niskanen
Go to the profile of Clément Schaff
Clément Schaff
The complex challenge of demand forecasting for business

The complex challenge of demand forecasting for business

Authors: Yann Hendel & Olivier Kahn
Go to the profile of Olivier Kahn
Olivier Kahn
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