Good morning!
We are re-booting our monthly virtual meetups for the IBM Data Science Community. These will be short (no longer than 1 hour) sessions focused on a variety of timely topics in data science and AI.
Please join us tomorrow from 1–2pm Pacific (4–5pm Eastern) to learn about
CLAIMED – The Component Library for AI, Machine Learning, ETL, and Data Science:
Deep Learning models are getting more and more popular but constraints on explainability, adversarial robustness and fairness are often major concerns for production deployment. Although the open source ecosystem is abundant on addressing those concerns, fully integrated, end-to-end systems are lacking in open source. CLAIMED is an entirely open source, reusable component framework, visual editor and execution engine for production-grade machine learning on top of Kubernetes. It uses Kubeflow Pipelines, the AI Explainability360 toolkit, the AI Fairness360 toolkit, and the Adversarial Robustness Toolkit on top of ElyraAI, Kubeflow, Kubernetes and JupyterLab. Using the Elyra pipeline editor, AI pipelines can be developed visually with a set of Jupyter notebooks.
This event is being co-hosted by
Data, Cloud and AI in San Francisco, one of 105 IBM Community meetups around the world. Free free to
RSVP there. If there's a local group near you and you'd like to get involved, please join our
Slack.
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Tim Bonnemann
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#GlobalAIandDataScience#GlobalDataScience