A new press release reports, “Jupyter Notebooks are now the open standard for data science and artificial intelligence (AI) model development. In keeping with our commitment to open source and the Jupyter community, in particular, IBM is proud to announce Elyra, a set of open source AI-centric extensions to Jupyter Notebooks, and, more specifically, the new JupyterLab user interface. The initial release of Elyra includes: Notebook Pipelines visual editor; Ability to run notebooks as batch jobs; Hybrid runtime support (based on Jupyter Enterprise Gateway); Python script execution capabilities within the editor; Notebook versioning based on Git integration; Reusable configuration for runtimes. We’re excited to announce Elyra and help evolve the Jupyter ecosystem with new tools for AI model development.”

The release goes on, “Building an AI pipeline for a model is hard. Breaking down and modularizing a pipeline is harder. A typical machine and deep learning pipeline begins as a series of preprocessing steps followed by experimentation, optimization, and, finally, deployment. Each of these steps represents its own unique challenge in implementation, execution, scheduling, and operation when bringing deep learning models from development to production. Elyra provides a visual editor for building Notebook-based AI pipelines, simplifying the conversion of multiple notebooks into batch jobs or workflows. By leveraging cloud-based resources to run their experiments faster, the data scientists, machine learning engineers, and AI developers are then more productive, allowing them to spend their time using their technical skills.”

Read more at developer.ibm.com.

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