Mar 15–18, 2020

Schedule: Machine Learning Model Governance and Operations sessions

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11:00am11:40am Wednesday, March 18, 2020
Location: LL21 E
Moty Fania (Intel)
Moty Fania shares key insights from implementing and sustaining hundreds of ML models in production, including continuous delivery of ML models and systematic measures to minimize the cost and effort required to sustain them in production. You'll learn from examples from different business domains and deployment scenarios (on-premises, the cloud) covering the architecture and related AI platforms. Read more.
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11:00am11:40am Wednesday, March 18, 2020
Location: LL20A
Sophie Watson (Red Hat), William Benton (Red Hat)
Cloud native infrastructure like Kubernetes has obvious benefits for machine learning systems, allowing you to scale out experiments, train on specialized hardware, and conduct A/B tests. What isn’t obvious are the challenges that come up on day two. Sophie Watson and William Benton share their experience helping end users navigate these challenges and make the most of new opportunities. Read more.

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