Machine Learning Ops, or MLOps, integrates the core principles of DevOps with machine learning. This brings the DevOps concepts of continuous integration, observability and high software quality ...

Microsoft also announced that the Azure Machine Learning service now includes a software development kit, or SDK, for the Python programming language, which is popular among data scientists.

Your Azure bill is bleeding cash, but AI can be the scalpel that slashes waste, spots spikes and silently saves you thousands ...

To do this, many of the agile and devops paradigms being used for software development teams can be applied to data science workflows with some significant adjustments.

When they work together, software development and operations teams can advance a company’s business transformation. The integration of these teams, also known as DevOps, streamlines the legacy ...

The integration of AI and cloud technologies in DevOps is growing rapidly. One such trend is edge computing , which moves AI-powered monitoring closer to data sources, thus reducing latency and ...

Arun Mulka is a distinguished DevOps Lead Engineer with over 16 years of IT experience, combining deep expertise in cloud architecture, machine learning, and automation. An AWS Certified Machine ...

Tecton brings DevOps to machine learning Written by Tony Baer (dbInsight), Contributor June 22, 2020 at 5:00 a.m. PT Models require algorithms and data, and when it comes to data, machine learning ...