We understand the challenges that organisations face when it comes to building, deploying, and managing AI/ML services in production.
“CI/CD for ML” is our MLOps service category, which takes the best from DevOps and applies it to building, deploying, and managing reliable and scalable AI/ML services in production. It is the foundation and guiding principle for AI/ML in production, with continuous integration, delivery, training, and monitoring to enhance pipelines for AI/ML services.
With “CI/CD for ML”, organisations can improve the accuracy and performance of their ML models, reduce operational costs and resource wastage, and gain a competitive advantage through advanced ML capabilities.
We’ve designed our services to be delivered in three focused tracks, each designed to help you reach specific milestones on your path to MLOps mastery.
Our MLOps service tracks are like a relay race. Each team needs to pass the baton to reach the finish line. In the same way, our service tracks are structured to help you progress from one step to the next, getting closer to your goal of mastering MLOps with each step.
Maximise your ML Pipeline
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Are you looking to improve your organisation’s MLOps capabilities? With our analysis, you will get a clear roadmap for advancing your MLOps practice
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