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The Virtual Sandbox is an overarching framework to support the enterprise-scale roll out of data science programs using the industry standard, CRISP-DM methodology.

Attend this session to learn how the Virtual Sandbox optimizes analytical model generation, testing, deployment and subsequent refinement by:

    • Easing data access for exploration and mash ups via a governed, self-service data access platform.
    • Supporting the creation of logical views using data virtualization for reuse across the organization.
    • Facilitating quick and repeatable generation of data sets for analytical model testing and refinement.
    • Hastening model deployment by operationalizing the model using shared development pipelines.


    • Review the challenges faced by enterprise-scale data science programs.
    • Overview of the Virtual Sandbox and its benefits.
    • Product Demonstration.
    • Q&A

Visit the Packed Lunch Webinar Series page for details on all the sessions.

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