As Kubernetes becomes the go-to for deploying AI, the need for strong governance and policies is critical. This panel will dive into how policies and AI intersect within Kubernetes. We'll explore challenges, best practices, and new standards for managing AI workloads to guarantee security, fairness, and transparency.
We'll examine existing and new policy frameworks for governing AI workloads on Kubernetes, including industry standards and best practices. We'll also address security risks like data privacy and model integrity, and establish clear lines of accountability for AI workloads.
This panel is ideal for engineers, operators, compliance officers, and anyone involved in deploying and managing AI workloads on Kubernetes.