IBM Watson Studio empowers data scientists, developers and analysts to build, run and manage AI models, and optimize decisions anywhere on IBM Cloud Pak for Data. It unites teams, automates AI lifecycles and speeds time to value on an open multicloud architecture. The platform provides advanced features like automated machine learning and model monitoring to manage models throughout development. Projects organize resources for data scientists and business analysts to analyze data collaboratively. It supports feature design for tools such as Jupyter notebooks, SPSS Modeler flows, Data Refinery flow, and DataStage, with management of feature definitions, transformation of batch, streaming, and real-time data into features, and storage across offline and online data stores.
Reduce model monitoring efforts by 35% to 50%
Increase model accuracy by 15% to 30%
Unite and cross-train developers and data scientists
Push models through REST API across any cloud
Requires IBM Cloud Pak for Data for deployment anywhere
Feature management tied to supported tools like Jupyter and SPSS Modeler
