Session
Demos: Revolutionizing Grainger with AI & MLOps
Demo 1: GitOps for Model Serving: Leveraging ArgoCD, Flagger, and Flux Presented By Victoria Reese
The Model Serving Platform leverages numerous Kubernetes-native GitOps tools for production support of model serving endpoints including Flagger and Flux for progressive delivery and ArgoCD for continuous deployment. This session will provide an overview of these tools and why the MSP team decided to leverage them.
Demo 2: Harnessing the power of AI/ML with Snowflake Cortex Presented By Chirag Gupta & Mayra Vazquez
This presentation will demonstrate how to use Streamlit and Snowflake Cortex to create user-friendly data science applications directly within Snowflake. We will explore building interactive UIs with Streamlit and integrating AI/ML capabilities using Snowflake Cortex. By keeping data within Snowflake, we can enhance data insights and automate predictions for Grainger teams.
Demo 3: Multi camera 3D capture of objects with challenging textures Presented By Engin Anil & Homagni Saha
Grainger aims to improve product search by using 3D models instead of relying solely on text or images. Creating accurate 3D models of products is challenging due to limitations of current 3D scanning technology. This demo presents a new approach to capture detailed 3D information using a single camera and advanced image processing techniques, offering a more efficient and cost-effective solution for creating 3D product models.
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