AI-In-Database
Rapids ParallelAI- AI-enabled big data analytics
ParallelAI is an AI-enabled analytics platform with an in-memory, distributed, parallel implementation of the R language and the R operating environment integrated within a RapidsDB cluster. It enables users to apply machine learning against data being managed by RapidsDB.
Rapids ParallelAI currently supports 20 popular algorithms in 6 categories for complex modeling.
- Regression
- Classification
- Clustering
- Dimension reduction
- Ensemble
- Natural language processing
Rapids AIworkflow - Unified AI Management Platform
AIworkflow is a complete machine learning lifecycle management platform with a drag- and-drop modeling tool and a visual workspace, which significantly simplifies the modeling process. Model building, testing, and deployment time can be greatly reduced as well as the IT O&M cost.
AIworkflow helps modern corporations improve data modeling efficiency and maximize productivity and data-driven innovation, making it possible for enterprises to monetize data value in real time.
- It provides a visual, drag-and-drop interface for beginners and experts to experiment, build, train and deploy machine learning models without requiring any specific programming skills
- It provides a unified modeling platform, which integrates multiple machine learning and deep learning frameworks
- It covers the whole data modeling lifecycle, which includes data ingestion, preparation, modeling, training, testing, evaluation, deployment and prediction