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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO

To remain resilient to change and deliver innovative experiences and offerings fast, organizations have introduced DevOps testing into their infrastructures. However, introducing DevOps to mainframe infrastructure can be nearly impossible for companies that do not adequately standardize and automate testing processes before implementation.

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3 key digital transformation priorities for 2024

CIO

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

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13 power tips for Microsoft Power BI

CIO

Power BI’s rich reports or dashboards can be embedded into reporting portals you already use. Its dashboards, reports, and visualizations go far beyond bar and pie charts, but you don’t need to be a designer to create them.

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How To Use Artificial Intelligence to Optimize DevOps

Dzone - DevOps

DevOps and AI make an inseparable pair and impact businesses of all kinds. While DevOps enables speedy product development and easier maintenance of existing deployments, AI transforms the overall system functionality.

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Important Practices for DevOps in the Cloud

OTS Solutions

Here Are The Important Practices for DevOps in the Cloud Cloud computing and DevOps are two aspects of the technological shift which are completely inseparable. The biggest challenge in dealing with the two is that IT professionals practicing DevOps development in the cloud make too many mistakes that are easily avoidable.

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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.