Compare, Contrast, Contribute: Model Deployment Standards and How You Can Help

Explore the landscape of model deployment standards in this informative conference talk by Svetlana Levitan and Nick Pentreath from IBM. Gain insights into the machine learning workflow and the challenges associated with deployment. Discover key standards such as PMML and PFA, complete with practical examples and feature overviews. Learn about open-source initiatives and their importance in the field. Delve into use cases and current status updates for various standards, including the Open Neural Network Exchange (ONNX). Examine the Ionic Graph framework and its applications in deep learning and traditional machine learning. Investigate exporter libraries and the Onyx ecosystem. Conclude with a comprehensive comparison of different deployment standards, equipping you with the knowledge to contribute to this evolving field.

Intro
Overview
Machine Learning Workflow
Deployment Challenges
PML
Pfa
Example
Other Features
Open Source
Use Case
Current Status
Open Neural Network Exchange
Ionic Graph
Deep Learning
Traditional ML
Exporter Libraries
Onyx Ecosystem
Comparison