Modern Edge AI experiences

Build with Google Distributed Cloud → https://goo.gle/4aUy5sM Build, deploy, and scale modern applications on-premises with AI ready infrastructure to ensure data security and enable agile developer workflows. In this episode of Making with AI, Cameron and Mike demonstrate how an AI on-premises solution, that doesn’t fit well in the cloud, can bring a managed Kubernetes cluster down to the locations needed to run an application. Chapters: 0:00 - Intro 0:57- Why should my app run on the Edge? 2:38 - Demo: improving fast food order accuracy 4:23 - How to build and export the AI model 6:05 - How to connect on prem instance to the AI model 8:19 - How to get images to the inference server 10:43 - What other use cases has the team seen for AI on prem? 11:23 - How can customers modernize their legacy infrastructure for AI use cases? 12:17 - How to get started with Google Distributed Cloud Watch more Making with AI → https://goo.gle/MakewithAI Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #MakingwithAI #GoogleCloud Speakers: Mike Ensor, Cameron Peron Products Mentioned: Cloud - AI and Machine Learning - AI Infrastructure