Case Study: AgilOne achieves scalable machine learning automation with Qubole

AgilOne processes nearly 1 billion daily predictions with Qubole

AgilOne, an enterprise customer data platform, faced challenges managing the vast data and machine learning workloads required to power predictions for major brands. They needed to automate resource provisioning, eliminate prototyping bottlenecks, and maintain portability across Amazon Web Services and Google Cloud Platform for their AgilOne Cortex machine learning framework. To address this, they partnered with the vendor Qubole.

By implementing Qubole's platform, AgilOne leveraged intelligent cluster automation and Apache Airflow for orchestration to streamline its ML workflows. The solution eliminated bottlenecks, allowing the data science team to work more efficiently and move models into production faster. Qubole provided a cloud-agnostic environment, excellent support, and zero-downtime upgrades. The partnership enabled AgilOne to efficiently scale its operations, performing nearly one billion predictions daily.

AgilOne