Announcements

We are extremely excited to announce Qwak’s new ML model management and feature store enhancements. These new capabilities allow Qwak’s users to optimize ML model performance and deliver top grade machine learning production workflows.

Machine models need to be frequently deployed to support changes such as data drift, data decay and new target audiences. A deployment strategy is a way to update an existing ML model deployed in production and support the continuous testing and management of multiple models simultaneously.

Qwak now supports deploying machine learning (ML) models with event-driven streaming architecture using Apache Kafka to support high-throughput predictions.

Qwak now supports machine learning models feedback tracking.

Qwak Feature Store now supports Snowflake as data source

Qwak Feature Store now supports MongoDB as data source