What is Machine Learning Operations (MLOps)?
MLOps is a collection of proven principles and best practices applied when implementing machine learning models at scale. These principles ensure that your models generate the most value and impact for your business.
An MLOps platform tracks your data, models, experiments and deployments in an automated way. Its principles enhance collaboration, scalability, reproducibility and ensure your business utilizes the power of AI most effectively.
What is the value of MLOps?
Best Possible Performance
MLOps optimizes machine learning models through continuous monitoring and automation. This dynamic approach ensures your models deliver the most value.
Fastest Time-to-Value
MLOps streamlines and accelerates machine learning projects. Through collaboration and efficient time management, your project's value is realized quicker.
Optimal Cost Allocation
MLOps enables you to optimize resource management, reducing your cloud expenses and enabling your development team to allocate their time efficiently.
MLOps optimizes machine learning models through continuous monitoring and automation. This dynamic approach ensures your models deliver the most value.
Our way of working with MLOps
We believe in laying the foundations for a solid platform that works at scale. We do this while keeping in mind that every business is unique and has different needs.
- Building the foundation
At project kick-off, we start with a needs assessment to develop tailor-made system architecture that is specific to your business needs. - Implementation
As a next step, our team will configure the required application resources to efficiently run your applications. - Deployment
Once all the required resources are properly configured, we migrate your current machine learning models to the platform. - Delivery
In this final phase, we deliver the platform and conclude our work, with recommendations for usage and maintenance.
MLOps Fundamentals: How to get value from your machine learning model?
In this blog, we define what MLOps is and where it comes from. Next, we define the machine learning life cycle that gives a useful set of practices to develop machine learning models into production.
Xomnia’s machine learning operations (MLOps) canvas
An MLOps canvas is a template used for describing and visualizing production systems with machine learning. It covers a wide range of aspects that have to be taken into account to sustainably run machine learning applications in production.
