Top Applications of AI in Manufacturing

Fremont, CA: Artificial intelligence and machine learning are still the most powerful driving forces in the manufacturing industry today.

Over 60 percent of manufacturing companies have already adopted AI technology to improve operational efficiency, reduce downtime, and deliver high-quality products that meet the needs of individual consumers.

Here are the top uses of Artificial Intelligence in manufacturing:

Quality Assessments in Product Manufacturing

It is difficult to detect internal problems when manufacturing a product or using equipment to streamline operations. Experts frequently fail to identify flaws by simply observing a product's functionality. And this can have a negative impact on manufacturing, resulting in major flaws in the product or process.

Artificial Intelligence and Machine Learning combine human intelligence with powerful technologies to bring about revolutionary changes in manufacturing operations.

For example, AI can detect minor flaws in machinery or products, allowing designers to address them before they become major flaws.

Helps Predict Failure in Designs

Failures of machinery are common in the manufacturing industry, leading to increased downtime, higher costs, and a longer time to market. The inability to detect failures in advance can have a negative impact on the quality and performance of final products.

This is where Artificial Intelligence comes into play in the manufacturing industry. AI enables identifying product or equipment failures well in advance through predictive learning, preventing major breakdowns in the future. This reduces downtime, saves money on idle time, and ensures increased productivity.