Machine learning observability platform Aporia has partnered with Databricks to empower customers using Databricks’ lakehouse platform, AI capabilities, and MLflow offerings. The collaboration enables users to monitor their ML models in real-time by deploying Aporia’s new ML observability platform directly on top of Databricks. The integration maximizes the benefits of existing database investments by allowing organizations to monitor all their ML models on Databricks within minutes. The new offering allows monitoring for anomalies such as drift, bias, degradation, and data integrity issues and triggers live alerts to popular communication channels, ensuring timely notifications.
Based in Palo Alto, California, Aporia is a machine learning observability platform that provides data science and MLOps teams with a unified view of how their models work and impact their business.
Liran Hason is the CEO of Aporia, a machine learning observability platform. Hason said that the partnership was designed to deliver a centralized, end-to-end, cost-effective solution, empowering organizations to make confident data-driven decisions.
