Kuwait embraces AI to streamline production and enhance efficiency

• Kuwaiti manufacturers can leverage artificial intelligence for various tasks, processes, and applications that traditionally required significant expertise and skills, with more than twelve AI applications identified to advance Kuwait’s industrial sector.

Artificial intelligence (AI) is the cornerstone of modern business, driving productivity, efficiency, cost reduction, enhanced employee safety, and minimized downtime. Digital solutions hold transformative potential for manufacturing industries. The integration of machine learning and pattern recognition in factories streamlines multiple stages of the production process.

In recent years, several industrial establishments in Kuwait have adopted AI techniques to improve performance and enhance production efficiency. Leading the way are facilities in the Kuwaiti oil sector, which have successfully automated many of their systems and processes.

Kuwaiti manufacturers can leverage artificial intelligence for various tasks, processes, and applications that traditionally required significant expertise and skills. Additionally, Al Rai newspaper identified more than twelve applications of artificial intelligence to advance Kuwait’s industrial sector, including the following:

1. Predicting raw material prices: AI-powered software can predict commodity prices more accurately than traditional methods, thanks to its ability to continuously evolve and improve.
2. Supply chain management: AI helps factories manage supply chains more effectively by assessing and monitoring suppliers, analyzing commodity markets, and optimizing inventory levels.
3. Machine learning: Develop basic work patterns using machine learning algorithms and data that autonomously adapt to work patterns without explicit programming.
4. Internet of Things (IoT): IoT solutions enhance efficiency, automate processes and tasks, reduce the need for human intervention, and improve convenience. By making daily tasks easier and aiding decision-making processes, IoT contributes to streamlining operations.
5. Addressing potential problems: Digital solutions can identify potential issues before they occur, determine the causes of technical failures, resolve them, and ensure they do not recur using automated analysis of data, including images and video excerpts.
6. AI-powered machines: Robots and AI-powered machines manage tasks and production processes autonomously, enhancing productivity and efficiency.
7. Reducing production time: Smart systems optimize production capacity for each facility, shorten production processes, and maximize production efficiency.
8. Warehouse management: Manufacturers can continuously monitor storage facilities, enhance logistics through real-time data collection, reduce warehouse costs, increase productivity, and minimize the need for human labor.
9. Improving quality control: Smart quality systems detect production errors and defects more efficiently and accurately than human oversight.
10. Minimizing manufacturing errors: Industrial robots automate repetitive processes prone to human error, reducing such mistakes to near-zero levels while reallocating workers to roles requiring human expertise.
11. Managing supply and demand: AI provides flexibility in managing supply and demand by analyzing consumer expectations, creating instant purchase orders based on factory inventory, and resolving order issues from sales channels automatically.
12. Cybersecurity for industrial facilities: Advanced cybersecurity systems are essential for industrial facilities to combat the growing threat of cyberattacks. These systems protect operations and prevent disruptions, including potential production line shutdowns caused by electronic breaches.