Case Study: OneAD achieves faster ML model training and near-100% uptime with Looker

Raising online video ad value for brands with AI and machine learning

OneAD, one of Taiwan’s largest video ad operators, needed a scalable and highly available cloud platform to handle rapid growth, process massive daily data volumes, and improve the precision of its ad targeting and ML-driven consumer insights. The company was also looking for a solution that could support near-100% uptime and stronger machine learning and AI capabilities, and it worked with Looker through its Google Cloud ecosystem to evaluate and modernize its data and advertising infrastructure.

Looker is named as part of the broader Google Cloud solution stack supporting OneAD’s analytics and data-driven advertising workflow. Using Google Cloud services, OneAD was able to process data covering 99.8% of Taiwan’s digital audience, target specific customer groups more effectively, and cut OneID ML model training time from 3 hours to 1 hour. The result was faster, more responsive advertising delivery with near-100% uptime and a more efficient, cost-effective platform for growth.

OneAD

Ethan Yeh

Data Scientist