AI in Manufacturing Market 2020 -26 Emerging Trends and Top Key Player
AI in Manufacturing will help companies achieve higher productivity and cost effectiveness over a period. One of the major applications where AI is deployed in the manufacturing plants is Asset maintenance.
Why Manufacturers Are Focusing on Cognitive and Predictive Asset Management
.jpg)
With off shoring trend reversing in most countries, on shoring with smart plants are becoming increasingly popular choice. Comparesoft studied the key reasons why manufacturers are adopting cognitive and predictive maintenance strategies in their smart plants.
Records 1 to 2 of 2
Featured Product
Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
