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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...
A high-level look at how AI works and how it can benefit your business.
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.
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.
Greenplum Summit 2019 Sridhar Paladugu Pivotal ML Engineer MADlib Flow Project Lead
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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.
Why adding in a data science component results in smarter applications and increased business value.
A conversation with Ovum’s Tony Baer about the future of data.
Watch Accenture CIO and CTO Paul Daugherty present about Digital Transformation and Artificial Intelligence at SpringOne Platform 2018 in Washington, D.C.
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.
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.
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
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