Edge AI: from hype to reality | Spectro Cloud

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. ___________________________ Resources 🌐 Website: https://www.spectrocloud.com 📄 Documentation: https://docs.spectrocloud.com Connect with Spectro Cloud LinkedIn:   / spectrocloud   GitHub: https://github.com/spectrocloud