Starting from the manufacturing data entry point, we aim to create an end-to-end data loop, utilizing DataCanvas' current real-time decision center platform, DataCanvas RT, to receive and process various types of data in the decision-making industry in real time. At the same time, we forward the data to the data center, clean, manage, assetize, and share the accumulated data. The AI platform explores and models data, feeds back the application of the model to the data decision-making system, and completes the closed-loop of data business in the entire manufacturing industry field.
A one-stop solution from data access layer to data processing layer and data modeling layer, implemented step by step according to the characteristics of manufacturing enterprises, to complete end-to-end closed-loop of data business.
A real-time processing system has been designed to address the complex and diverse nature of data in the manufacturing industry, which can synchronize multiple sources of data and effectively solve the problems of data isolation and disorder.
Through the one-stop machine learning platform, the difficulty of AI business implementation for manufacturing enterprises has been greatly reduced, enabling AI to better serve manufacturing users.
DataCanvas has served numerous manufacturing enterprises with over 20 service scenarios, integrating responsive industry models, algorithms, and operators.