Manufacturing

MANUFACTURING

Opportunities & Challenges Introduction Advantages Values

Opportunities & Challenges

In order to achieve the dual carbon goal, it is necessary to adopt green and low-carbon technologies, equipment, and products to deeply adjust and transform the national economy and industry. At the same time, the manufacturing industry also faces multiple challenges, including aging labor force, land restrictions, international competition, and supply chain constraints. How to utilize digital transformation to improve efficiency, competitiveness, and quality, and achieve transformation from big to strong, is a huge challenge for all manufacturing enterprises.

The primary task for manufacturing enterprises to achieve digital transformation is to open up the data chimney, process and implement data, and apply data assets, to connect the entire data chain of the enterprise, use AI to mine the value of data, and ultimately empower the enterprise's business.

Introduction

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.

Advantages

End-to-end data business closed-loop

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.
Real time processing of multi-source data

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.
One-stop AI modeling platform

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.
Rich experience in AI applications

DataCanvas has served numerous manufacturing enterprises with over 20 service scenarios, integrating responsive industry models, algorithms, and operators.