Case Study: Mashable accelerates collaborative data science and content virality prediction with Domino Data Lab

Predicting Content Influence and Virality with Data Science

Mashable, a global media company, needed to predict the social engagement and virality of its content but lacked fundamental scientific models for how media spreads online. Their data science team faced a challenge in collaborating efficiently and required a flexible environment that could accelerate innovation without being hampered by cumbersome infrastructure. They turned to the Domino Data Lab platform to address this need.

By implementing Domino's data science platform, Mashable's team gained a coherent and collaborative environment for building, testing, and deploying models. The solution enabled them to provision computing resources an order of magnitude faster, run parallel experiments, and push models into production easily. This resulted in faster innovation and greater productivity, allowing the team to explore new areas like deep learning while efficiently coordinating large-scale, collaborative research efforts without redundant work.

Mashable

Haile Owusu

Chief Data Scientist