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InfoWorld Daily

March 19, 2019

Image: Open Computer Project and Azure: hardware meets software

Open Computer Project and Azure: hardware meets software

How the world of open hardware design interacts with Azure’s underlying infrastructure Read more ▶

Your Must-Read Stories

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New tools help you pick the right cloud configuration

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The best machine learning and deep learning libraries

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Jenkins tries to reinvent itself as cloud-native for Kubernetes

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How to find devops staff who are good at both technology and people

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How to use Tableau to analyze agile, devops, and website metrics

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The ugly truth about cloud computing in the enterprise

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Review: Google Cloud AutoML is truly automated machine learning

Video/Webcast: Dell EMC and AMD

AMD EPYC-Based Dell EMC PowerEdge 14G Servers

Many of today’s datacenter workloads require more than traditional processor architectures are providing. AMD’s EPYC Enterprise CPUs together with Dell EMC PowerEdge servers provide the compute, memory bandwidth and IO that software defined, virtualized and High Performance computing applications crave. With unprecedented levels of compute, memory, IO, and security capabilities, learn how AMD EPYC based Dell EMC PowerEdge servers are redefining datacenters rules, improving performance and adding competitive value to your business. Read more ▶

Image: New tools help you pick the right cloud configuration

New tools help you pick the right cloud configuration

Getting an optimal cloud configuration is something you can do yourself, but emerging tools can help do it better Read more ▶

Image: HP's President's Day Sale Continues With up to 56% off Select Products - Deal Alert

FROM OUR BUSINESS PARTNERS

HP's President's Day Sale Continues With up to 56% off Select Products - Deal Alert

For the next few days, HP's online store is offering some steep discounts on laptops, desktops, printers and other products you might have had your eye on. Read more ▶

Image: The best machine learning and deep learning libraries

The best machine learning and deep learning libraries

Why TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models Read more ▶

 
 
Image: Jenkins tries to reinvent itself as cloud-native for Kubernetes

Jenkins tries to reinvent itself as cloud-native for Kubernetes

The Jenkins X project tries to modernize the CI/CD platform that has fallen on hard times Read more ▶

Image: How to find devops staff who are good at both technology and people

How to find devops staff who are good at both technology and people

A new study shows that to optimize devops you need a mix of hard technology skills and soft people skills. But how do you get that combination? Read more ▶

Image: How to use Tableau to analyze agile, devops, and website metrics

How to use Tableau to analyze agile, devops, and website metrics

Developers often need their own reporting capabilities to better analyze, predict, and manage aspects of their work; tools like Tableau can help Read more ▶

Image: The ugly truth about cloud computing in the enterprise

The ugly truth about cloud computing in the enterprise

Enterprise cloud governance is a mess as clouds become the new IT siloes, a sprawl disguised under the “multicloud” or “hybrid cloud” label Read more ▶

Image: Review: Google Cloud AutoML is truly automated machine learning

Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming Read more ▶

Video/Webcast: Pure Storage

Pure Storage Data Hub and Veritas NetBackup: Engineered to Run and Protect a Wide Range of Modern Workloads

Pure Storage's FlashBlade enables your Data Hub, a consolidated platform to support the following AI/ML clusters, Test/Dev, Analytics, Containers. Read more ▶

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