Introduction

The manufacturing industry is a key sector for the global economy, but also very inefficient. Artificial intelligence (AI) is revolutionizing this sector with digital twins.

Technical Details

Digital twins are virtual replicas of physical objects, production lines, or processes that use real-time data and AI to simulate system behavior.

The applications of AI in manufacturing are numerous: process optimization, reduction of downtime, and increased efficiency.

Practical Implications

Digital twins improve supply chain management by allowing companies to respond quickly to changes in the market and customer demands.

In addition, advanced technologies such as Industrial Internet of Things (IIoT), edge computing, and industrial internet of things are transforming manufacturing informatics.

Conclusion

towards the end of the 2020s, artificial intelligence is becoming increasingly important for companies that want to remain competitive in the market.

Digital twins are just one of many tools that can help improve production and increase efficiency.