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.

  • 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

    View Presentation
  • 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

    View Presentation
  • 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

    View Presentation
  • 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

    View Presentation
  • Subscribe to Pivotal Insights Podcast

    Subscribe
  • 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.

    Read More
  • 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.

    Read More
  • Graph Analytics with Greenplum and Apache MADlib

    Graph Analytics with Greenplum and Apache MADlib

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

    View Presentation
  • Getting started with advanced analytics

    Getting started with advanced analytics

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

    Read More
  • 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.

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

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

    Read More
  • 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.

    Read More
  • 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.

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

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

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

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

    Read More
  • 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

    Read More
  • 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

    View Presentation
  • 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...

    Read More
  • 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

    Watch Video
  • Dig Deeper Into Data Science

    Go Now
  • Jun 21 - Using Data Science to Build an End-to-End Recommendation System Webinar

    Jun 21 - Using Data Science to Build an End-to-End Recommendation System Webinar

    Read More
  • Use Automation to Streamline the Data Science QA Process

    Use Automation to Streamline the Data Science QA Process

    This post illustrates a way to mix automation with interactivity to reduce the manual steps in data science QA without compromising the data scientist’s ability to do that which is best done manually.

    Read More
  • loading
    Loading More...