The Linux Foundation·42 min
Tommy Li · Animesh Singh
Explores AI Pipelines Workflows and ML lineage using Tekton Pipelines and evaluates key implications for security practitioners.
pipelineworkflowlineage+2
Animesh Singh
6 talks in the archive.
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The Linux Foundation·35 min
Animesh Singh · Hou Gang
Analyzes build an Event Driven Machine Learning Pipeline on Kubernetes and evaluates key implications for security practitioners.
machine-learningkubernetesbuild+2
The Linux Foundation·43 min
Animesh Singh · Andrew Butler
Evaluates defending Against Adversarial Model Attacks using Kubeflow and evaluates key implications for security practitioners.
defendingadversarialmodel+1
The Linux Foundation·40 min
Christian Kadner · Animesh Singh
Demonstrates end-to-end AI Marketplace with Execution Engine on Kubernetes and evaluates key implications for security practitioners.
kubernetesend-to-endmarketplace+2
The Linux Foundation·33 min
Animesh Singh · Hou Gang
Presents open Standards for Machine Learning Deployment and evaluates key implications for security practitioners.
machine-learningstandardsstandard+1
The Linux Foundation·42 min
Tommy Li · Animesh Singh
Outlines training AI To Code Using The Largest Code Dataset (Project CodeNet) and evaluates key implications for security practitioners.
trainingcodelargest+2