Accelerating ML/AI Deployments using MLOps

Photo by Amanda Dalbjörn on Unsplash

MLOps is a combination of processes, emerging best practices, and underpinning technologies that provide a scalable, centralized, and governed means to automate and scale the deployment and management of trusted ML applications in production environments. MLOps is a natural progression of DevOps in the field of ML and AI where it provides a framework with multiple features housed under a single roof. While it leverages DevOps’ focus on compliance, security, and management of IT resources, MLOps’ real emphasis is on consistent model development, deployment, and scalability.

Once a given model is deployed, it's unlikely to continue operating accurately forever. Similar to machines, models need to be continuously monitored and tracked overtime to ensure that they’re delivering value to ongoing business use cases. MLOps allows us to quickly intervene in degraded model(s), thus ensuring improved data security and enhanced model accuracy. The workflow is similar to continuous integration (CI) and continuous deployment (CD) pipelines of modern software development. MLOps provides the feature of continuous training, which is possible because models are continually evaluated for their performance accuracy and can be re-trained on new incoming datasets.

For a detailed view, check out:




Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Haar Cascade Model-Behind the curtain

Image Processing with Python: Color Correction using Histogram Manipulation

Predicting Bitcoin price using Neural Networks

Mercedes-Benz Greener Manufacturing

Deploy and Test Heart Failure Prediction ML model in under 2 minutes

How to Make Deep Learning many Orders of Magnitude Faster

Heartbeat Newsletter Vol. 53

What Promises Machine Learning Has to Offer for Online Businesses?

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Utkarsh Srivastava

Utkarsh Srivastava

More from Medium

Adrian’s AI/ML 2021 Highlights

MLOps Beyond Training: Simplifying & Automating the Operational Pipeline

Real cases of Machine Learning at a Big Scale

MLGovernance and MLOps, why your organization should embrace it