Easily transform, store, serve, and manage machine learning features
A feature platform is a system designed to handle features throughout their feature lifecycle. A feature platform helps automate the creation, computation, storage, cataloging, monitoring, and governance of features. Feature platforms cut development cost and save time for your organization by providing data science and engineering teams easy ways to build, reuse, store, deploy, monitor, and govern features within their machine learning applications and projects.
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Benefits
Design features for various tools supported, such as Jupyter notebooks, SPSS Modeler flows, Data Refinery flow, and DataStage.
Manage feature definitions and enrich them with metadata.
Feature transformation of batch, streaming, and real-time data into features.
Store and serve features across offline and online data stores supported in Cloud Pak for Data.
Easily search, discover, monitor, and govern features throughout the feature lifecycle.
Modernize how you collect, organize, and analyze data with a multicloud data and AI platform.
Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management.
Operationalize to accelerate the AI lifecycle with the right data, at the right time, for the right user.