AI has the potential to accelerate problem solving for industrial companies in a few key ways, find senior partners Alex Singla and Bill Wiseman and colleagues. For example, AI can create a “digital twin” of a component, as a way to more quickly evaluate the component’s design across different performance metrics. The technology could help companies reduce sourcing costs for parts and bring higher-performing products to market faster.
![A digital twin visualization helps identify opportunities for part standardization or restructuring of bills of materials and volume buys.](/~/media/mckinsey/featured%20insights/charting%20the%20path%20to%20the%20next%20normal/2023/jan/gifs/cod-web-aiinai-v2-ex4.png?cq=50&cpy=Center)
To read the article, see “The future is now: Unlocking the promise of AI in industrials,” December 6, 2022.