Case Study: Gaia boosts subscriber engagement with Qubole

Gaia lifts subscriber engagement 50% with Qubole

Gaia, a member-supported streaming video service, faced challenges with its outdated on-premises data warehouse and a slow, rule-based recommendation engine. These systems caused frequent outages, long processing times, and an inability to provide meaningful business insights. To adopt modern practices like machine learning and improve data-driven decision-making, the company turned to vendor Qubole for assistance in implementing a data lake platform.

By leveraging Qubole on AWS, Gaia built a new Apache Spark and XGBoost-based machine learning recommendation engine. This solution delivered a 50 percent lift in average minutes watched, a key engagement metric, and significantly improved subscriber engagement. Qubole also provided a stable, auto-scaling platform that eliminated outages, reduced troubleshooting time by a factor of three, and gave the company greater confidence in its data for making business decisions.

Gaia