Feature Engineering in a Cloud-Native Feature Store with Hopsworks.ai
A feature store enables machine learning (ML) features to be registered, discovered, and used as part of ML pipelines, thus making it easier to transform and validate the training data that is fed into machine learning systems. Feature stores can also enable consistent engineering of features between training and inference, but to do so, they need a common data processing platform.
The Hopsworks.ai is the world's first managed feature store for the cloud that provides an open-source and general purpose feature store to design and operate AI applications at scale with Apache Spark.
Attend this webinar to:
- Learn how the Feature Store enables end-to-end ML pipelines to be factored into feature engineering and data science stages that each can run at different cadences.
- Launch and manage Hopsworks clusters in your AWS account
- Learn to integrate Hopsworks.ai with Databricks and AWS Sagemaker
- Get started with Hopsworks.ai today
Register now, we look forward to connecting with you soon.