Data Amalgamation in an AI for Manufacturing System

制造系统人工智能中的数据合并

• 批准号: 561399-2020
• 负责人: Blum, Susan
• 金额: $ 1.82万
• 依托单位: Saskatchewan Polytechnic
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=724140
• 关键词: Data; Amalgamation; AI; Manufacturing; System

In partnership with Solid State AI (SSAI), Saskatchewan Polytechnic (SP) is developing a sub system for SSAI's Artificial Intelligence (AI) for Manufacturing Systems (AIMS) platform. Specifically, the proposed applied research will start developing a system capable of performing data aggregation and migration across multiple corporate databases while maintaining or introducing relationships between the data points. This will allow for SSAI's clients to take more control over their data aggregation strategies and aid in the application of AI and machine learning (ML) algorithms in the AIMS platform to improve and optimize business and manufacturing processes.

萨斯喀彻温理工学院 (SP) 与 Solid State AI (SSAI) 合作，正在为 SSAI 的制造系统人工智能 (AI) (AIMS) 平台开发子系统。具体来说，拟议的应用研究将开始开发一个能够跨多个企业数据库执行数据聚合和迁移的系统，同时维护或引入数据点之间的关系。这将使 SSAI 的客户能够更好地控制其数据聚合策略，并帮助在 AIMS 平台中应用人工智能和机器学习 (ML) 算法，以改进和优化业务和制造流程。