From Ray to Chronos: Build end-to-end AI use cases using BigDL on top of Ray

The authors from Intel's AI and Analytics Team introduce BigDL, an open-source framework for building scalable end-to-end AI applications on distributed big data using Ray. BigDL seamlessly integrates Ray into big data preprocessing pipelines through RayOnSpark, allowing users to run AI applications directly on their existing big data clusters in a production environment. The authors also showcase the AutoML capability built on top of Ray Tune, which enables users to automate hyperparameter tuning and model selection for various AI applications. Additionally, they introduce Project Chronos, a framework for building large-scale time series analysis applications using BigDL, RayOnSpark, and AutoML capabilities.