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Benefits of the Cloud: IT vs. Data Science

Open Data Group October 30, 2018
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Deploying machine learning models is often a bottle neck in realizing the value from data science investments. Utilizing the cloud, combined with a microservices based infrastructure, to deploy machine learning models can make the process less complex, and make life easier for everyone involved. Let’s look into how analytic migration to the cloud can help the data science and IT teams specifically:

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Combining Cloud and Microservices to Deploy Machine Learning Models

Open Data Group October 16, 2018
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In one of our past blogs, we discussed the importance of the cloud and its many benefits, including better security, more storage, increased collaboration, cost effectiveness, and redundancy. Because the cloud has been a topic of much discussion in the past few years, most people understand these benefits of utilizing the cloud in their organization. Now we want to dive in a little deeper to determine why the cloud is so important specifically for deploying machine learning models and analytics.

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Top 5 Reasons Why The Cloud Matters

Ginger Phelps June 22, 2017
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Cloud computing has forever changed the way businesses have been storing and managing their data and analytics. Within the past few years, many companies have made the switch from storing their data within a service oriented architecture (SOA) to the cloud. 

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