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Hunting the Bear: Why Agile Product Teams Have So Much Trouble Onboarding Data Science
There are differences between working on a traditional software product and one that incorporates data science. Successfully folding data science into a product team is a little like hunting a bear.
In this playbook you’ll find our advice for effective ways to bring this capability—and the humans who drive it—closer into your fold.
Securing Cloud Applications demystifies complex security protocols, algorithms, and patterns, and demonstrates how to put them into practice in everyday development.
Bridge the AI/ML Divide Between Data Science and IT Infrastructure with DKube and VMware Tanzu
DKube on VMware Tanzu enables you to save time, resources, and cost with IT and data science teams collaborating with best-in-class model operations and infrastructure management.
How Infrastructure Virtualization Accelerates Data Science: VMware Tanzu and Domino Data Lab
With Domino Data Lab and VMware Tanzu, code-first data science teams can accelerate research, increase collaboration, and deploy models across an optimized multi-cloud infrastructure.
A Bootiful Podcast: webassembly, IoT, data science, and Java guru Brian Sletten
Hi, Spring fans! In this installment, Josh Long (@starbuxman) talks to webassembly, IoT, data science, and Java guru Brian Sletten (@bsletten).
Relationship and difference between Greenplum and PostgreSQL
Greenplum is open-source software for massively parallel database used for reporting, analytics, machine learning, artificial intelligence, and high concurrency SQL. Greenplum database is...
Faster Optimization of Join Queries in ORCA
author：Hans Zeller Optimizing joins is the core part of any query optimizer. It consists of picking a good join order, the right join algorithms (hash join, nested loop join, etc.) and various...
Blog: Data Science with Python & JupyterHub on Kubernetes - Part 2
In a previous post, we discussed the advantages of running JupyterHub on Kubernetes. We also showed you how to install a local Kubernetes cluster using kind on your Mac, as well as how to install...
Blog: Data Science with Python & JupyterHub on Kubernetes - Part 1
Provisioning environments for data scientists and analysts to run simulations, test new models, or experiment with new datasets can be time-consuming and error-prone. Python is a popular choice...
Greenplum Summit Week 5: AI, Neural Networks, and the Future of Analytics
Author: Jared Ruckle Every enterprise is refining their AI strategy. So it’s only fitting that the final installment of Greenplum Summit 2020 focused on how artificial intelligence and neural...
How VMware Tanzu Data Services Powers Development Teams Building Modern Applications
Simplify your migration to the cloud with Tanzu Data Services, a portfolio of on-demand caching, messaging, and database software on VMware Tanzu for development teams building modern applications.
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...
The CIO's Guide to Artificial Intelligence
A high-level look at how AI works and how it can benefit your business.
Artificial Intelligence (with Andrew Ng)
Learn more: Pivotal Deeplearning.ai Landing AI AI Fund Follow everyone on Twitter: Intersect Andrew Ng Derrick Harris Deeplearning.ai Landing AI AI Fund Pivotal
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.
Taking Product Development To the Next Level
Why adding in a data science component results in smarter applications and increased business value.