The AWS platform offers a great number of tools and components to build production ready MLOps pipelines. To unlock the power of these cloud native components a skilled team of experts is required. Orange Business Services is providing the expertise as well as the asset of a ready-to-deploy MLOps setup. Orange Business Services’ AWS certified experts will implement and customize its MLOps pipeline solution to bring its customers successfully to the end of their Machine Learning journey.

Orange Business Services’ solution answers the challenges of automating the retraining and the deployment of Machine Learning and Artificial Intelligence models. The most common difficulties raised up when scaling AI and ML are:

• Lack of automation in the testing, the training, and the deployment of Machine Learning solutions
• Complexity and required time to move AI solutions from a Proof of Concept to a reliable and in-production solutions
• Manual updates or retraining of the AI and ML solutions, platforms, and models

The MLOps pre-packaged pipeline Orange Business Services offers answer all these challenges. To facilitate the deployment of such a service and to prove the business value it can generate, the solution has been splitted into two main deployment steps which are called offers.

Basic offer (fixed price upon requirements) | from 20k€

• Pre-packaged solution
• Implementation of the MLOps pipeline and customization to specific needs
• Image recognition model set up and deployment in the MLOps pipeline
• Data collection, cleaning, and preprocessing
• Set up of AWS accounts and VPN Gateway

Full offer | on quotation

• Deployment of already existing customer’s ML models in the MLOps pipeline
• Implementation and set up of new ML models
• VPN access, peering / routing / connection
• Tailor-made features
• MLOps pipeline as a 100% managed service

Are you interested in such a solution? Once we are in contact, our experts will assess your data and give you the best advice to set up as soon as possible a first Machine Learning model using the MLOps pipeline we have designed. We implement at first the basic offer which can be extended and upgraded following your needs.