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In this video, we will look at

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several other IBM tools that help

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data scientists in
their day to day work.

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Watson Knowledge Catalog
helps data scientists to

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catalog and manage all
their data resources.

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Data refinery provides
graphical tools

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for analyzing and preparing data.

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SPSS based products include

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easy to use graphical
interfaces for

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wide varieties of

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statistical and machine
learning algorithms

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and data transformations.

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We will talk about approaches
to model deployment,

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including open standards and
Watson Machine Learning.

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Newer features of
Watson Studio include

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AutoAI that
automatically computes

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the best data pipeline and

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Watson OpenScale
which helps to ensure

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fairness and explainability
of the models.