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.

  • 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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  • Agile Data Science on Greenplum Using Airflow - Greenplum Summit 2019

    Agile Data Science on Greenplum Using Airflow - Greenplum Summit 2019

    Greenplum Summit 2019 Ambarish Joshi - Data Scientist Aditya Padhye - Data Engineer

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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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  • 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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  • Using Data Science to Build an End-to-End Recommendation System

    Using Data Science to Build an End-to-End Recommendation System

    We get recommendations everyday: Facebook recommends people we should connect with; Amazon recommends products we should buy; and Google Maps recommends routes to take. What all these recommendation s

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  • Conduent Uses Advanced Analytics and Data Science to Help Its Clients Proactively Avoid Legal…

    Conduent Uses Advanced Analytics and Data Science to Help Its Clients Proactively Avoid Legal…

    Conduent Uses Advanced Analytics and Data Science to Help Its Clients Proactively Avoid Legal TroubleKarl Sobylak, Senior Director of Data Analytics at Conduent chats with Jeff Kelly at PostGres...

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  • Karl Sobylak, Conduent | Advanced Analytics and Data Science11:32

    Karl Sobylak, Conduent | Advanced Analytics and Data Science

    Karl Sobylak of Conduent chats with Jeff Kelly at PostGres Summit 2018 at Built to Adapt Live on how Conduent uses advanced analytics and data science to help its clients proactively avoid legal troub

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