2 min read

What is MLOps?

Machine learning operations (MLOps) is the discipline of AI model delivery. MLOps enables your organization to scale production capacity to deliver faster results, generating significant value for your business.
What is MLOps?

MLOps is a set of practices that combines Machine Learning, DevOps and data engineering. MLOps aims to deploy and maintain ML systems in production reliably and efficiently.

Why do we need MLOps?

1.Issues with Deployment

Businesses don’t realize the full benefits of AI because models are not deployed. Or if they are deployed, it’s not at the speed or scale to meet the needs of the business.

2. Issues with Monitoring

Evaluating machine learning model health manually is very time-consuming and distracts resources from model development.

3.Issues with Lifecycle Management

Even if they can identify model decay, organizations cannot regularly update models in production because the process is resource intensive. There are also concerns that manual code is brittle, and the potential for outages is high.

4. Issues with Model Governance

Businesses need time-consuming and costly audit processes in order to ensure compliance as a result of varied deployment processes, modeling languages, and the lack of a centralized view of AI in production across an organization.

Why do you need MLOps? | DataRobot
Why do you need MLOps? It allows organizations to scale their AI initiatives by automating deployment, monitoring, and governance of machine learning models in production.
https://www.datarobot.com/lp/why-you-need-mlops/

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