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Artius IT codepipeline

Artius IT CI/CD Tool

Once again it’s time for another Barney Style “Break Down!”. Translating complex IT (InformationTechnology) terms into simple and relatable terms. Today we are going to dive deeper into an AWS resource that makes DevOps (DevSecOps) agile and flexible. If you are not familiar with the Barney Style breakdown on DevOps follow this link tbs DevSecOps . This article is going to breakdown the features of a software product that Amazon offers.

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Artius IT devsecops

Artius IT DevSecOps

It’s time to break IT (information technology) down “Barney Style!” With so many buzzwords in the computer world, it can be a mind numbing experience when a business owner hears a word like “DevSecOps.” Barney Style Solutions wants to draw the simplest connection from what you know as a business owner to what information technology enthusiasts know from being nerds. This post will follow the “techie-speech is to a normal-day-example” method, in which we will use techie buzzwords and draw connections to common business principles. So let’s do it. Let’s break it down Barney Style.

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Artius IT artificial intelligence machine learning

Artificial Intelligence Machine Learning

Amazon’s AWS SageMaker makes it possible to build, train and deploy machine learning models quickly. It is fully managed and covers the entire ML (machine learning) workflow. A lot of large companies use SageMaker resource. With SageMaker you can; collect and prepare training data, choose and optimize your ML algorithms, setup and manage training environments, and tune your model for optimization. Models can be deployed and managed in production. Use reinforcement learning to build smart outcomes. SageMaker is open and flexible and AWS will provide detailed instructions on how to use the SageMaker resource.

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