What is AI Orchestration?
AI Orchestration represents all the people, processes, tools and resources within your business and connects them to enable successful AI projects.
ProActive AI Orchestration from Activeeon streamlines the flow of information from source to destination, automates the workflow between teams and industrializes the process. It unifies your existing and future IT infrastructure, as well as applications and tools. All actors involved in the AI pipeline can connect commercial or open-source apps to the common framework and share AI outputs at each stage of the pipeline. This AI framework enables continuous data acquisition, facilitates Data Scientists to train and select models, creating a smooth transition from pilot to productization and enabling the visibility of processes from end-to-end.
How do MLOps principles, embedded within ProActive AI Orchestration, help your AI success?
MLOps is the key to generating business value from AI projects. It's a game changer when you need to automate and scale the deployment of AI models.
The goal of MLOps is to remove the frictions from the experimental stage right through when the model is in production. Making sure to successfully put AI model in production in the shortest possible time with as little risk as possible.
Traditionally, machine learning has been approached from a perspective of individual experiments, predominantly carried out in isolation by data scientists. In reality, only models running in production can bring value. Models have zero ROI until they can be used. Therefore, models deployment need to be integrated within the AI pipeline and move from informal to an industrialize process.
Come hear about how Activeeon AI Orchestration solution based on MLOps principles can bring value to your business.