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Getting started with Prediction Studio

Suggest edit Updated on March 11, 2021

Harness the power of artificial intelligence and machine learning to drive your business results by managing adaptive, predictive, and text analytics models in Prediction Studio.

In this workspace for data scientists, you can develop, monitor, and adjust models for analyzing customer interactions and communications to predict their future behavior.
  • Prediction Studio overview

    Prediction Studio is an authoring environment in which you can control the life cycle of AI and machine-learning models (such as model building, monitoring, and update). From Prediction Studio, you can also manage additional resources, such as data sets, taxonomies, and sentiment lexicons.

  • Setting up your environment

    System architects can perform a number of optional tasks, such as configuring the default application context for models and other Prediction Studio records or selecting an internal database where Prediction Studio records are stored. Prediction Studio also allows you to enable outcome inferencing and configure the model transparency policy.

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