In this webinar, technology fellow, Cornelia Davis and CTO, Saad Malik will walk you through:
- What edge AI means, and how it relates to terms like AIops and MLops
- Why the edge is the natural home for critical AI inferencing workloads
- The top challenges for edge computing — and why adding AI models and engines to the mix exacerbates these problems
- Key requirements for successful AI deployments in edge environments, from security to lifecycle management
- Which tools and projects you need to know, from Kubeflow to LocalAI

They'll also introduce you to Palette EdgeAI, a new enhancement to Spectro Cloud Palette that simplifies the deployment and management of AI stacks in your Kubernetes-based edge computing environments.

You’ll walk away with a deeper understanding of edge AI and a clear direction for your edge computing projects.

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