In this video, we will look at
several other IBM tools that help
data scientists in their day to day work.
Watson Knowledge Catalog helps data scientists to
catalog and manage all their data resources.
Data refinery provides graphical tools
for analyzing and preparing data.
SPSS based products include
easy to use graphical interfaces for
wide varieties of
statistical and machine learning algorithms
and data transformations.
We will talk about approaches to model deployment,
including open standards and Watson Machine Learning.
Newer features of Watson Studio include
AutoAI that automatically computes
the best data pipeline and
Watson OpenScale which helps to ensure
fairness and explainability of the models.