Auto-deployment of models

Learn about how EDAA™'s models are automatically updated and deployed.

Auto-deployment of models leverages autoencoders within EDAA™'s Artificial Neural Network (ANN) to enhance learning and ensure unbiased personalization. This feature automatically updates and deploys models, thereby keeping the system current and efficient.

This feature is brought to you by Orchestra, our infrastructural platform that enables you to seamlessly integrate your solution with Affective Computing by Virtue through our no-code Portal and low-code public APIs.

Advantage

Auto-deployment of models assures you that the end-user interactions in your solution are always based on the latest bias-free models and ensures that personalization is both accurate and equitable.

Use cases

• You can rely on continuously updated models for consistent and fair user experiences.

• This functionality is particularly beneficial in dynamic environments where user data and preferences evolve rapidly, requiring constant model adaptation.