DrivenData blog

We're really excited to launch our latest competition! In addition to an interesting, new prize structure, the subject matter is at the intersection of sustainability and industry. Improvements to these kinds of processes can have upside for both a business and the planet.

Meet the winners who were best able to tackle the cold start problem in energy forecasting!

Emily Dorne and Peter Bull discuss project deon on Podcast.init!

We show you how to get a warm start on our cold start competition using a neural network!

We've all got to start somewhere. In this post we'll show you how to start using data science to predict heart health!

Using AI to study the natural world: check out the results!

Meet the winners who were best able to use machine learning to detect anomalies in building energy consumption!

Meet the winners who were best able to use machine learning to predict building energy consumption!

Meet the winners who were best able to optimize energy use with a photovoltaic array and battery system!

See how DrivenData's top modelers managed to predict poverty based on individual and household-level survey data.

Meet the newly announced finalists in the Hidden Signals Challenge! This is a guest post from our friends at Luminary Labs.

Continuous integration is a best practice for software development. We think it's a best practice for data science, too.

Complying with open source licenses is difficult. Today we're talking about a tool that has made it easier for the Concept to Clinic challenge.

When social sector organizations think about data, the conversation often begins and ends with measuring impact. Here are some ways that social impact organizations can move beyond thinking about measuring impact and start using machine learning to transform how they operate.

See how DrivenData's top modelers managed to predict length, species, and count from videos of fish captured on fishing vessels.

We're launching a new competition to predict poverty. In this post, we'll show you how to get started!

The focus of the Concept to Clinic challenge is to make AI advances useful — not just for data scientists interested in cutting-edge methods, but for clinicians working on the front lines of lung cancer detection and the patients they serve.

We interview Concept to Clinic panelist Dr. Jason Hostetter

We interview Concept to Clinic challenge contributor Serhiy Shekhovtsov (@Serhiy-Shekhovtsov)

Can you help identify biothreats in real time? Submit a concept by 12/4/17!