AIworkflow

AIworkflow, the core technology of ParallelAI, is a unified AI management platform that significantly simplifies the machine learning modeling process.

It provides a visual, drag-and-drop interface for both developers and business users 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
It provides a process management component, Project, to increase the reusability and portability of the modeling process
It provides a modeling management component, Model, to support automatic model contrast and make parameter tuning and model deployment more convenient

Data Processing Pipeline of AIworkflow

Components of AIworkflow

With AIworkflow, model building, testing, and deployment time can be greatly reduced as well as the IT O&M cost. It helps modern corporations improve data modeling efficiency, maximize productivity, optimize customer experience and boost data-driven innovation, speeding up business decisions and making it possible to monetize data value in real time.