Solutions: AI Workflows
Predict what's next with session-based recommenders and NVIDIA AI.
Companies that rely heavily upon engaging online with potential and established customers to drive customer retention and upsell are considering session-based recommender methods. Session-based recommenders enable data scientists, machine learning engineers, and their companies to build a recommender pipeline when little or no online user history is available. Leading companies are utilizing session-based recommenders to increase model accuracy and drive quality customer engagement towards meeting their business objectives.
NVIDIA Merlin™ is an end-to-end framework for building, training, optimizing, and deploying recommender systems at any scale. Using Merlin, data scientists and machine learning engineers are empowered to streamline building pipelines for session-based recommendations and more. Merlin enables many recommender workflows. The NVIDIA Merlin next item prediction AI workflow is designed to help companies build effective, personalized recommendations using little to no user data.
Cloud-native Kubernetes services in the next item prediction workflow are used to build and deploy training and inference pipelines.
Get access to the next item prediction workflow with a free curated lab. Access a step-by-step guided lab for product recommendations with ready-to-use software, sample data, and applications.
Predict preferences from interactions from first-time, early, or anonymous online users.
Easily achieve better accuracy for recommendation models.
Increase customer engagement, retention, and upsell of services.
AI workflows accelerate the path to AI outcomes. The next item prediction workflow provides a reference for developers to get started building session-based recommender solutions.
The next item prediction AI workflow is available with NVIDIA AI Enterprise software.