Identify product defects with IoT, computer vision, and generative AI

Join this session to learn how to create a data hub that makes it easier to extract insights from unstructured manufacturing data, including documents, maintenance logs, and data sheets with AWS IoT TwinMaker and AWS IoT SiteWise. We also demonstrate how to use generative AI to make this data more accessible to end users, enabling them to ask complex questions in natural language, such as identifying standard operating procedures (SOPs) to fix production issues or suggesting potential root causes based on alarms. Through hands-on examples, we explain how build a generative AI-powered assistant using AWS IoT TwinMaker and Amazon Bedrock, so operators and other users can quickly diagnose and resolve production problems. Understand how these technologies on AWS help unlock the value of your manufacturing data, leading to increased efficiency, reduced costs, and improved overall productivity.

Speakers: 
Vikram Shitole, Senior Prototyping Architect, AWS India
Sushant Moon, Data Scientist II, AWS India