Pivotal Labs
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.
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Read MoreAdvanced Analytics in Real-Time
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Read MoreUsing 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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Read MoreApr 2 - The Open Source Enterprise Data Analytics Warehouse - Greenplum on AWS
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Read MoreThe 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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Read MoreTransfer 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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Read MoreAI 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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View PresentationOperationalizing 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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View PresentationA Modern Interface for Data Science on Postgres/Greenplum - Greenplum Summit 2019
Greenplum Summit 2019 Scott Hajek @jscotthajek
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View PresentationAI 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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Read MoreTaking 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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View PresentationGraph Analytics with Greenplum and Apache MADlib
Pivotal Korea HongDon Lee, Sr. Data Scientist 30 January 2019
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Read MoreGetting started with advanced analytics
A conversation with Ovum’s Tony Baer about the future of data.
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14:59Watch VideoPaul 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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Read MoreBlog: Data-Driven Enterprises Must Balance Data Science with Data Security
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Read MoreMaking 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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Read MoreTake 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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Read MorePivotal Data Science Lab 100 - Service Brief (SVC-1049)
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Read MorePivotal Data Science Roadmapping - Service Brief (SVC-1050)
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Read MoreHow 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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