{"slug":"corning-accelerates-innovation-with-genai","url":"https://findausecase.com/use-cases/corning-accelerates-innovation-with-genai","title":"Corning Accelerates Innovation with GenAI","description":"Corning, a global leader in glass and ceramics, leverages the Databricks Data + AI Platform to improve manufacturing processes and product quality with advanced analytics and machine learning. Corning uses GenAI-powered chatbots and the Databricks Agent Framework to make hundreds of thousands of internal documents instantly accessible, with MLflow and model serving accelerating data scientist workflows by weeks or months.","company":"Corning","industry":"Manufacturing","aiCapabilities":["Generative AI","Agentic AI"],"businessFunctions":["Manufacturing & Production"],"technology":["Databricks","MLflow","Delta Sharing"],"deployment":"Public Cloud","problemStatement":"Corning needed to make hundreds of thousands of internal documents, scattered across multiple independent divisions, instantly accessible so employees could make smarter decisions and data scientists could accelerate AI application workflows.","solutionApproach":"Corning leverages the Databricks Data + AI Platform to improve manufacturing processes and product quality with advanced analytics and machine learning. Corning uses GenAI-powered chatbots and Databricks Agent Framework to make hundreds of thousands of internal documents instantly accessible for smarter decisions. MLflow and model serving enable rapid deployment of AI applications.","businessValue":"MLflow and model serving enable rapid deployment of AI applications, accelerating data scientist workflows and saving weeks or months on projects.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/corning-mosaic-ai","dates":{"publishedAt":"2026-09-06T09:02:54.441Z","publishedAtSource":"pipeline","updatedAt":"2026-09-06T09:02:54.441Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/corning-accelerates-innovation-with-genai. Bulk republication requires permission."}