Data Science Resources

Identifying patterns in big data to predict and influence business outcomes gives businesses the foresight to be better at what they do.

  • Advanced Analytics in Real-Time

    Advanced Analytics in Real-Time

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  • Using a Virtualized, Open Source Data Platform on AWS

    Using a Virtualized, Open Source Data Platform on AWS

    Co-Authored by Ji Lim and Maurice Martin On April 2nd, 2020 VMware Tanzu Data and Amazon Web Services (AWS) participated in a joint webinar detailing the capabilities and benefits of running...

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  • Apr 2 - The  Open Source Enterprise Data Analytics Warehouse - Greenplum on AWS

    Apr 2 - The Open Source Enterprise Data Analytics Warehouse - Greenplum on AWS

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  • The CIO's guide to artificial intelligence

    The CIO's guide to artificial intelligence

    A high-level look at how AI works and how it can benefit your business.

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  • Transfer Learning for Deep Neural Networks on Greenplum Database

    Transfer Learning for Deep Neural Networks on Greenplum Database

    In this post, we show how to implement transfer learning on Greenplum Database using the Keras and TensorFlow libraries, and the Apache MADlib open-source project.

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  • AI for enterprises: Start small and choose projects wisely

    AI for enterprises: Start small and choose projects wisely

    Artificial intelligence expert Andrew Ng explains the basics of enterprise AI adoption, from scoping out the most impactful early applications to building out an AI team.

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  • Operationalizing AI at scale using MADlib Flow - Greenplum Summit 2019

    Operationalizing AI at scale using MADlib Flow - Greenplum Summit 2019

    Greenplum Summit 2019 Sridhar Paladugu Pivotal ML Engineer MADlib Flow Project Lead

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  • A Modern Interface for Data Science on Postgres/Greenplum - Greenplum Summit 2019

    A Modern Interface for Data Science on Postgres/Greenplum - Greenplum Summit 2019

    Greenplum Summit 2019 Scott Hajek @jscotthajek

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  • AI on Greenplum Using
 Apache MADlib and MADlib Flow - Greenplum Summit 2019

    AI on Greenplum Using
 Apache MADlib and MADlib Flow - Greenplum Summit 2019

    Greenplum Summit 2019 Sridhar Paladugu Frank McQuillan

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  • Don't jump into AI without doing your homework

    Artificial intelligence can be difficult to grok. The best place to start is to get up to speed on what AI actually means and doesn’t mean, and what it actually can and cannot do.

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  • Taking Product Development To the Next Level

    Taking Product Development To the Next Level

    Why adding in a data science component results in smarter applications and increased business value.

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  • Graph Analytics with Greenplum and Apache MADlib

    Graph Analytics with Greenplum and Apache MADlib

    Pivotal Korea HongDon Lee, Sr. Data Scientist 30 January 2019

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  • Getting started with advanced analytics

    Getting started with advanced analytics

    A conversation with Ovum’s Tony Baer about the future of data.

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  • Paul Daugherty, Accenture—Human + Machine, SpringOne Platform 201814:59

    Paul Daugherty, Accenture—Human + Machine, SpringOne Platform 2018

    Watch Accenture CIO and CTO Paul Daugherty present about Digital Transformation and Artificial Intelligence at SpringOne Platform 2018 in Washington, D.C.

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  • Blog: Data-Driven Enterprises Must Balance Data Science with Data Security

    Blog: Data-Driven Enterprises Must Balance Data Science with Data Security

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  • Making Data Science Accessible to Developers: Real-Time Multi-Person, Human Pose Estimation with Spring Cloud Data Flow and TensorFlow

    Making Data Science Accessible to Developers: Real-Time Multi-Person, Human Pose Estimation with Spring Cloud Data Flow and TensorFlow

    In this post, we examine emerging techniques for analyzing and interpreting human body language and posture, and detail an implementation of using Spring Cloud Data Flow and TensorFlow.

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  • Take Application Security to the Next Level with Data Science (Ep. 77)

    Take Application Security to the Next Level with Data Science (Ep. 77)

    In this episode of Pivotal Insights, Pivotal's Rashmi Raghu and Brendan Higgins join talk about using data science and analytics to catch potentially malicious user behavior on corporate networks.

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  • Pivotal Data Science Lab 100 - Service Brief (SVC-1049)

    Pivotal Data Science Lab 100 - Service Brief (SVC-1049)

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  • Dig Deeper Into Data Science

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  • Pivotal Data Science Roadmapping - Service Brief (SVC-1050)

    Pivotal Data Science Roadmapping - Service Brief (SVC-1050)

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  • How Data Scientists Can Tame Jupyter Notebooks for Use in Production Systems

    How Data Scientists Can Tame Jupyter Notebooks for Use in Production Systems

    In this post Pivotal Data Scientist Timothy Kopp presents a tool he created that allows data scientist to use Jupyter Notebooks to create and modify production-ready code for data science applications

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