↽ AI in manufacturing

Capgemini’s researchshows, that more than half of the European manufacturers (51%) are implementing AI solutions, with Japan (30%) and the US (28%) following in second and third. This is because the manufacturing industry possesses a vast amount of analytical data that could be easily translated by machine learning models. That results in compelling impact predictions.

• Enhanced production outcomes facilitation,
• Operational costs minimizing,
• Optimizing distribution,
• Superior scalability facilitation,
• Detecting product defection in real-time,
• Maintenance (29% of manufacturing AI use cases),
• Product quality (27%),
• Digital twin applications (virtual representation of a real-world product or asset) such as improving original product based on collected data, design customization, improving shop floor performance by identifying quality issues in the production process and logistic optimization.